This is a story we wanted to tell. What is a smart CRM? First, what is a CRM?

A CRM is a Customer Relationship Manager — software that helps you track your prospects and your clients. CRMs have always been pretty static. You enter all the information by hand, you can set up some kind of automation that reminds you to take action on a client, but at the end of the day it is extremely time-consuming and cumbersome. And most of the time, CRMs tend to rot and stop being used.

That was our experience — until we built the Smart CRM of Ippocra. What is it? A special flavor of CRM, entirely driven by our local LLM. There we don’t just store the name of a possible client: we track every interaction we have with that prospect, we research that client online, the AI proposes the best sales strategy to engage them, and it builds the dedicated artifacts that make the deal real — presentations, proposals, images, videos. All stored right there, in the CRM, next to the contact’s history.

And all of this is possible without a cloud LLM — it runs on dedicated hardware, with our data kept safe.

Because that is the point: a CRM that is not a database you feed, but the hub of an entire sales system.

Why classic CRMs rot

A classic CRM asks you to pay a tax: for every piece of information it will ever be useful with, you must first type it by hand. A meeting becomes notes. An email becomes a field. A research you did on the client’s website becomes a copy-paste.

That tax is what kills the CRM. The data goes stale, the stale data loses trust, and people start keeping the real state of the business in their head, in their inbox, and in the notes app. The CRM becomes a museum of abandoned records.

The problem was never the concept of centralizing your clients. The problem was that the centralization was manual — and manual centralization always loses to the day-to-day.

The idea: the CRM as a system integrator

What if the CRM was not the place where you record the work, but the place where the work happens?

That is the idea behind the Smart CRM of Ippocra. It is a system integrator: it connects four areas that usually live in four different tools — or in the head of the person doing the sales — and makes them one continuous flow.

1. The record. The contact card and the timeline of every interaction. What was said, when, and what was promised.
2. The research. The AI looks up the company and the people online: what they do, who the internal contacts are, what is publicly known about them.
3. The strategy. Based on the record and the research, the AI proposes how to engage the prospect: the right approach, the right next step, the right moment for a follow-up.
4. The artifacts. The things that actually move the deal forward — a dedicated proposal, a custom presentation, images, a video — generated for that specific client, stored next to the client.

The “smart” part is that the four areas feed each other. Research updates the contact card. The contact card informs the strategy. The strategy produces the artifact. The artifact’s result goes back into the timeline. In a classic CRM only the first box exists, and you copy everything else by hand from your email, your notes, and your head.

A real example: from a WhatsApp message to a proposal

Let’s make it concrete. A few months ago, a contact from a mid-size manufacturing company wrote to us on WhatsApp asking for a proposal for a base ILAI installation.

Here is what happened in the CRM, step by step:

1. The record. The contact was created with the person’s role, the company’s full details (address, VAT number), and the other internal contacts we knew about. The request was logged the same day, with the exact scope asked for.
2. The research. The company’s public data was gathered and attached to the contact card — so that whoever works on the account, later, has the full picture without searching again.
3. The proposal. A dedicated ILAI proposal was generated from the CRM’s proposal system, and sent to the main contact and the other internal references.
4. The pause. With the summer break the project was put on hold, and the Smart CRM of Ippocra logged it — and set the next step: resume the conversation in September.

That last point is what a classic CRM cannot do. A classic CRM stores that the proposal was sent. It cannot store why the project is paused, what the next step is, and when it happens — because that information never existed anywhere except in the head of the person who knew.

In the Smart CRM of Ippocra, the state of the deal is written down the moment it changes, in the same place where the proposal, the research, and the strategy live. The CRM is the system of record and the system of execution.

The dedicated artifacts: proposals and presentations, generated per client

The fourth area is the one that surprises people the most.

When the Smart CRM of Ippocra needs a proposal for a client, it is not a template you fill in. The proposal is generated from the client’s own record: the scope discussed, the price, the phases, the company’s details. It is a real PDF, with the Ippocra branding, stored in the client’s folder — one file per version, never overwritten.

The same goes for presentations. For a specific prospect, the CRM holds a dedicated deck built for that conversation — not a generic company pitch, but a presentation shaped around what that client actually cares about.

The artifacts are not “extra content” you make after the CRM work is done. They are part of the CRM work: they are produced there, stored there, and versioned there. That is what it means for the CRM to integrate the entire sales cycle.

Why local: the data is the point

All of this — the interactions, the research, the strategy, the proposals, the pricing — is sensitive. It is the most confidential layer of a business: who you are talking to, what you offered, what they paid, why a deal paused or closed.

With a cloud AI, that data would have to leave your infrastructure to be processed. With a local LLM, it doesn’t. Everything runs on dedicated hardware, with our data kept safe.

This is the same logic that is behind ILAI as a product: data ownership is not a feature, it is the foundation. And the Smart CRM of Ippocra is the proof that this foundation can hold up the entire sales operation — not just a chatbot.

What this means for other companies

We do not sell the Smart CRM of Ippocra as a product. We built it for ourselves, to run our own sales, and it works well enough that we are telling you about it.

But the pattern is not specific to us. Any company that sells — B2B, B2C, professional services — has the same four areas: the record, the research, the strategy, the artifacts. And any of them can become a hub instead of a database, with a local LLM doing the connecting work.

If you want to understand what this kind of system looks like in your own business, let’s talk. Every company has different processes, and every smart CRM is built around them.

Frequently Asked Questions

What is a smart CRM?

A smart CRM is a CRM that is not only a database of contacts, but the hub of the entire sales process: it records interactions, researches the client, proposes the sales strategy, and generates the artifacts (proposals, presentations, images, videos) that move the deal forward. All of it is driven by an AI that works on the CRM’s own data.

How is the Smart CRM of Ippocra different from a classic CRM?

A classic CRM stores data you enter by hand and can remind you of actions. The Smart CRM of Ippocra is driven by a local LLM: it tracks every interaction automatically, researches the client online, proposes the best engagement strategy, and builds dedicated proposals and presentations — all stored in the same place, next to the contact’s history.

What does “driven by a local LLM” mean in practice?

It means the AI runs on your own infrastructure, not on a remote cloud. Your data — including sensitive information like pricing, negotiation state, and client details — never leaves your environment. Costs are fixed and predictable, with no per-token bill.

Can the CRM generate real documents, like proposals and presentations?

Yes. The Smart CRM of Ippocra generates branded PDF proposals from the client’s own record (scope, price, phases, company details), and holds dedicated presentations built for specific prospects. Each artifact is versioned and stored in the client’s folder.

Is the Smart CRM of Ippocra a product you can buy?

No. We built it for our own sales process. But the pattern — record, research, strategy, artifacts, all connected by a local LLM — can be applied to any company that sells. We can help you design what this would look like in your context.

How does this relate to ILAI?

ILAI is the product: a local artificial intelligence that runs on your infrastructure. The Smart CRM of Ippocra is one of the ways we use ILAI internally — as the hub of our entire sales system. It is the same foundation: data ownership, predictable costs, an AI that works on your context instead of a generic model.

Related: Creating videos with local AI: how Ippocra produces video content with ILAI — another example of a sales-adjacent process (content production) that we run entirely on local AI.

It is the road of local AI applied to video production.

The starting point: the idea, the strategy, and the script stay human

Let’s start with what really matters.

In every video Ippocra publishes, the most important parts are the ones only a person can give: the idea, the strategy, the script. Because the video has to say something true about your company, at the right time, to the right people.

The rest — scene generation, voiceover, ambient audio, subtitles, final assembly — is work that an AI with the right “skills” knows how to do. And that is exactly the ILAI model: not a magical autonomous video generator, but a virtual colleague that takes a clear direction and turns it into content, repeatably.

How it really works: the semi-automatic flow

When we ask ILAI to produce a video, the flow goes like this:

1. Brief and script. It starts with a document: what the video must say, in what order, in what tone. This is where your expertise comes in, not the AI’s.
2. Scenes and prompts. The script is broken into scenes (“beats”) and each scene becomes a precise description that the video model can interpret.
3. Local render. The scenes are generated by a video model running on our hardware — a GPU, not a data center. Each 15-second clip takes minutes of GPU work, but not a single cent in extra cost.
4. Voice and audio. The voiceover is generated locally with a local TTS model, and the scenes’ ambient audio is mixed with the voiceover.
5. Final composition. The scenes are assembled, resized, subtitled, and closed with a branded end card. All with ffmpeg, locally.

The result is content ready for YouTube and Instagram, produced entirely inside our network.

The three videos in this article were all made this way

To make it concrete, here are the three pieces of content Ippocra has published recently — all generated locally with ILAI:

1. “A fox in the night with a curious owl” — the first video

The first video we generated locally. A one-line prompt, a GPU, not a single token spent. Watch the first example:

The same video is available as a reel on Instagram, with the original prompt:

“a starless night, with just a moon. a fox jumps through the grass while an owl from a tree branch observe it”

2. The turtles on the beach — proof that it can be repeated

The second video shows it was not a one-off: different scenes, different characters, same method, same quality. We published this one as a reel on Instagram, directly from our local renders — and for this video Instagram is the only channel, in line with how we choose to publish it.

3. “ILAI — Your Artificial Colleague” — the full video

The longest and most complete one: a piece of content produced end-to-end with ILAI, from the idea to the final cut, with a locally generated voiceover and synced subtitles. It is the video that explains what ILAI is — and it was created by ILAI itself.

You can also find it as a reel on Instagram.

The advantage that changes the rules: you can experiment

Here is the point nobody tells you when they talk about cloud AI.

With cloud AI, every attempt has a price. Every render, every regenerated voiceover, every scene tried and discarded is one more line on the monthly bill. That keeps you stuck: you try to nail the perfect result on the first try, and when it doesn’t come, you count pennies.

With local AI, the cost of a render is zero — it is your GPU working, and it is already paid for. That means you can:

• Try 10 variants of the same scene and keep the best one
• Regenerate a take you don’t like, without watching the meter
• Change your mind mid-production and redo the scenes from scratch
• Experiment with styles, tones, rhythms until the result is exactly what you had in mind

You can experiment more. You can produce more. You can refine more. And not a single extra cent hits your bank account. It is not just about saving money: it is about final quality, because quality is reached by trying, not by hoping.

How much hardware do you need?

You do not need a data center. For the videos shown in this article:

• One dedicated GPU (an RTX 3090 in this case) to generate the scenes with the video model
• A normal workstation for everything else: voiceover, editing, subtitles
• A few hours of work for a full 40-second video

The initial investment is the hardware — one time, like any serious work station. After that, content is produced, in practice, with no recurring costs.

Why this matters for your business

Video is the content that works best on every channel: YouTube, Instagram, your commercial materials, your presentations. Until now, for a small or mid-sized company, producing video meant:

• renting a cloud AI service and paying per usage
• commissioning an agency, with rising time and costs
• or giving up

Now there is a third option: produce it in-house, with an AI running on your infrastructure, with your data never leaving anywhere, and with a cost you know exactly what it is.

If you want to understand how local video production can work in your company, email us at info@ippocra.com or visit ilai.ippocra.com.

Frequently Asked Questions

Do I need a very powerful computer to generate video with local AI? No. For the videos shown in this article we used a workstation with a dedicated GPU (RTX 3090, about 24 GB of memory). It is not a supercomputer: it is the equivalent of a high-end work station, with a one-time investment.

Is the quality of locally generated video comparable to cloud AI? Yes. The open-weight video models that run locally (like MiniMax H3) produce 15-second clips at 24 fps with audio and ambience. Quality depends heavily on how the prompts are written and how many variants are tried — and this is exactly where local AI has the advantage of letting you do it with no extra cost.

What are the real costs? The initial investment is the hardware. After that, the cost of each produced video is practically zero: electricity and time. No subscriptions, no tokens, no costs that grow with usage.

Do the data and the content leave my company? No. The entire flow — script, prompts, render, audio, editing — happens on your infrastructure. No byte of creative content leaves your network, which is a point of control the cloud cannot guarantee you.

Can I use the generated video for my company’s channels? Absolutely. The videos shown in this article are real pieces of content published on YouTube and Instagram by Ippocra, produced entirely locally with ILAI.

If you’re a patient, you know all too well: reports accumulate, get lost, deteriorate. And when you need them — for a specialist visit, a second opinion, an emergency — they’re somewhere, but you don’t know where.

If you’re a doctor or healthcare professional, the problem is even more complex: you need access to data that isn’t in your facility, produced by different laboratories, in different formats, with different delivery times.

The problem of medical reports in Italian digital healthcare

Italy has made enormous strides in healthcare digitalization. The Electronic Health Record (Fascicolo Sanitario Elettronico) exists, regions have computerized systems, laboratories produce digital reports. Yet for the average patient, managing their own reports is a frustrating experience:

• Reports are scattered. Each healthcare facility keeps them separate
• Formats differ. PDFs, images, DICOM for imaging exams — nothing unified
• Sharing is complicated. Taking a report from one specialist to another requires time and often information loss
• Access is fragmented. Each region has its own EHR, each facility has its own portal

Think about your grandmother. Or your parents. Or yourself. How many times have you had to restart a visit because you couldn’t find a report?

Ippo: The digital health platform that puts the patient first

We built Ippo with a simple idea: health data belongs to the patient, not to the facilities.

Here’s what Ippo does:

1. Unifies all your reports in one place

Whether the report is a PDF, an image, or a DICOM file for an imaging analysis. Ippo imports them all, organizes by person, and makes them accessible from any device.

2. Organizes them automatically

You don’t need to catalog manually. Ippo reads the reports, identifies the document type, determines which person it belongs to, and places it in the right folder. It works like an assistant that organizes things for you.

3. Makes them shareable with one click

When a doctor needs your reports, you don’t have to print, scan, or carry them physically. With IppoLink — Ippocra’s secure sharing system — you can send heavy reports (even CT scans or MRIs) encrypted and traceable. The recipient accesses, views, and downloads. Done.

4. Preserves them forever

Digital reports are easily lost: a broken hard drive, an expired account, a facility change. With Ippo, your reports are yours. They’re saved securely and remain accessible forever, even if you change doctors, facilities, or regions.

Why digital healthcare needs Ippo

The current digital healthcare model is facility-centric: each hospital, each lab, each health authority manages its data in isolation. The patient is a passive subject who must physically go or call to obtain what belongs to them.

Ippo flips this model:

• The patient is at the center. Your data, your control, your choice
• Technology is invisible. You don’t need to learn a new tool — it just works
• Security is guaranteed. End-to-end encryption, no data shared without your explicit consent
• Accessibility is universal. Works on any device, anytime

How it works in practice

Maria, 45 years old, mother of two. She took her daughter for a specialist visit. The doctor asks for the clinical history of the last two years. Maria hasn’t found any reports from recent months, because they’re scattered between the pediatrician, the lab, and the hospital.

With Ippo, Maria opens the app, sees all reports sorted by date and person. Finds what she needs, shares it with the doctor via IppoLink in 10 seconds.

Dr. Rossi, orthopedic surgeon. A patient arrives for a follow-up after surgery. The originating hospital hasn’t shared the post-operative reports. Dr. Rossi doesn’t have the full picture.

With Ippo, the patient uploads their reports. Dr. Rossi sees them directly, without needing to call any office.

Paolo, 70 years old, retired. He keeps his reports in a safety deposit box. If something happens, his daughter doesn’t know where they are.

With Ippo, the reports are online, accessible to anyone with Paolo’s consent. His daughter can view them in an emergency.

Technology at the service of people

Digital healthcare shouldn’t be complex. It shouldn’t require technical skills, shouldn’t be expensive, and shouldn’t exclude anyone.

Ippo is designed to be used by everyone — from grandparents to grandchildren, from family doctors to specialists, from small practices to large hospitals.

Because in the end, the most beautiful technology is the one you don’t notice. The one that simply works, and saves you precious time.

Frequently Asked Questions

Is Ippo free? Ippo offers a free plan for individual patients. For healthcare facilities and professionals, there are dedicated plans with advanced features.

Are my health data safe? Yes. Ippo uses end-to-end encryption for all documents. Data is stored on secure servers and is never shared without your explicit consent.

Can I use Ippo with the Electronic Health Record (FSE)? Yes. Ippo is designed to integrate with existing systems, including Regional Electronic Health Records. It doesn’t replace the FSE — it enhances it.

How does IppoLink work? IppoLink is a secure sharing system that allows you to send heavy health documents (even several GB) via a temporary encrypted link. The recipient accesses, views, and downloads the documents. You control who can access and for how long.

Is Ippo available in all Italian regions? Yes. Ippo is not tied to any specific region. It works throughout Italy and can be used with data from any healthcare facility.

For Italian SMEs, this isn’t just a technical issue — it’s a business survival issue.

The problem with cloud AI for SMEs

Think about your company. Your commercial documents, your pricing, your contacts, your strategies — these are all data you’d never want to see on third-party servers. Yet every time you use ChatGPT, Claude, Gemini, or any other cloud AI, that data becomes part of an ecosystem you don’t control.

Here’s what really happens when you use cloud AI:

• Your data is no longer yours. Once sent to a cloud service, you lose control over what happens to it
• Costs aren’t predictable. Usage-based models grow linearly: the more you use AI, the more you pay. And when your company grows, costs explode
• Dependency is total. If the cloud service changes price, interrupts service, or changes policy, your company is stuck
• Compliance is at risk. GDPR, data privacy regulations, industry-specific rules — everything becomes more complex when data leaves your company

What is local artificial intelligence?

Local artificial intelligence is exactly what it sounds like: an AI that runs on your infrastructure, not on remote servers.

With local AI:

1. Your data stays yours. All processing happens within your company’s network
2. Costs are fixed. You buy the infrastructure once, then it runs for years with no recurring costs
3. You don’t depend on anyone. No price changes, no service interruptions, no external policies
4. Compliance is simple. Data never leaves your company — GDPR is satisfied by design

Why Italian SMEs should consider local AI

Italy has over 4 million SMEs. Many of these handle sensitive data — contractual, financial, personal — that cannot be shared with cloud services.

Sectors that benefit the most

Legal firms. A lawyer working with confidential documents, cases, trade secrets — no cloud can guarantee those documents are never processed by an external model.

Accounting firms. Balance sheets, tax filings, client data — every year sensitive data grows. Keeping it local is the only reasonable choice.

Medical practices. Health data is the most sensitive of all. GDPR protects it particularly. Local AI is the only option that fully complies with the regulation.

Artisan manufacturing. Production formulas, designs, supplier relationships — all material that defines a company’s competitive advantage.

Consulting and marketing. Commercial strategies, development plans, client data — the raw material of these activities is knowledge, and knowledge shouldn’t leave the company.

ILAI: Local AI built for businesses

We built ILAI specifically to address these needs. It’s not a chatbot — it’s a digital colleague that:

• Works with your documents, procedures, and internal resources
• Adapts to your business processes
• Grows with your company, becoming more useful every day
• Ensures your data never leaves your infrastructure

ILAI is ready for use by companies of all sizes — from startups to medium enterprises that want total control over their data.

Comparison: Cloud AI vs Local AI

How to get started

You don’t need to change your entire infrastructure to begin. With local AI you can:

1. Start small. One use case, one process
2. Learn and grow. ILAI adapts to your company
3. Expand gradually. As you see results, add more workflows

If you want to understand how local artificial intelligence can work in your company, email us at info@ippocra.com or visit ilai.ippocra.com.

Frequently Asked Questions

Is local AI more expensive than cloud AI? No. Cloud AI has seemingly low costs at first, but they grow linearly with usage. Local AI has an initial investment (hardware + setup) but then runs with no recurring costs. Over the long term, local AI is almost always more economical.

Do I need a powerful computer to run local AI? You need adequate infrastructure, but not a supercomputer. A workstation with a dedicated GPU (roughly €3,000-€7,000) is sufficient to run professional-grade artificial intelligence models.

Is local AI less powerful than cloud AI? It’s not about raw power — it’s about approach. Cloud AI is a generic model trying to please everyone. Local AI is customized to your business context, so it’s much more useful and accurate for your specific needs.

Can I use both local AI and cloud AI together? Absolutely. Many companies use both: cloud AI for general use and local AI for sensitive data and critical processes. The choice isn’t “all or nothing.”

Se sei un paziente, lo sai bene: i referti si accumulano, si perdono, si rovinano. E quando ne hai bisogno — per una visita specialistica, per un secondo parere, per un’emergenza — sono da qualche parte, ma non sai dove.

Se sei un medico o un professionista sanitario, il problema è ancora più complesso: devi accedere a dati che non sono nella tua struttura, che sono stati prodotti da laboratori diversi, in formati diversi, con tempi di consegna diversi.

Il problema dei referti medici nella sanità digitale italiana

L’Italia ha fatto passi enormi nella digitalizzazione della sanità. Il Fascicolo Sanitario Elettronico esiste, le regioni hanno sistemi informatizzati, i laboratori producono referti digitali. Eppure, per il paziente medio, la gestione dei propri referti è un’esperienza frustrante:

• I referti sono sparsi. Ogni struttura sanitaria li tiene separati
• I formati sono diversi. PDF, immagini, DICOM per le esami di imaging — niente di unificato
• La condivisione è complicata. Portare un referto da uno specialista all’altro richiede tempo e spesso perdita di informazioni
• L’accesso è frammentato. Ogni regione ha il suo FSE, ogni struttura ha il suo portale

Pensa alla tua nonna. O ai tuoi genitori. O a te stesso. Quante volte hai dovuto ricominciare una visita perché non trovavi un referto?

Ippo: la piattaforma sanitaria digitale che mette il paziente al centro

Abbiamo costruito Ippo con un’idea semplice: i dati sanitari devono appartenere al paziente, non alle strutture.

Ecco cosa fa Ippo:

1. Unifica tutti i tuoi referti in un unico posto

Non importa se il referto è un PDF, un’immagine, o un file DICOM per un’analisi di imaging. Ippo li importa tutti, li organizza per persona e li rende accessibili da qualsiasi dispositivo.

2. Li organizza automaticamente

Non devi catalogare manualmente. Ippo legge i referti, capisce che tipo di documento è, a quale persona appartiene, e lo posiziona nella cartella giusta. Funziona come un assistente che fa ordine per te.

3. Li rende condivisibili con un click

Quando un medico ha bisogno dei tuoi referti, non devi stamparli, scansionarli o portarli fisicamente. Con IppoLink — il sistema di condivisione sicura di Ippocra — puoi inviare referti pesanti (anche TAC o risonanze) in modo cifrato e tracciabile. Il destinatario accede, vede, e può scaricarli. Fine.

4. Li conserva per sempre

I referti digitali si perdono facilmente: un disco che si rompe, un account che scade, un cambio di struttura. Con Ippo, i tuoi referti sono tuoi. Sono salvati in modo sicuro e restano accessibili per sempre, anche se cambi medico, cambia struttura, o cambia regione.

Perché la sanità digitale ha bisogno di Ippo

Il modello attuale della sanità digitale è basato sulle strutture: ogni ospedale, ogni laboratorio, ogni ASL gestisce i propri dati in isolamento. Il paziente è un soggetto passivo, che deve recarsi fisicamente o chiamare per ottenere ciò che gli appartiene.

Ippo ribalta questo modello:

• Il paziente è al centro. I tuoi dati, il tuo controllo, la tua scelta
• La tecnologia è invisibile. Non devi imparare un nuovo strumento — funziona semplicemente
• La sicurezza è garantita. Crittografia end-to-end, nessun dato condiviso senza il tuo consenso esplicito
• L’accessibilità è universale. Funziona su qualsiasi dispositivo, in qualsiasi momento

Come funziona nella pratica

Maria, 45 anni, madre di due bambini. Ha portato sua figlia a una visita specialistica. Il medico le chiede la storia clinica degli ultimi due anni. Maria non ha trovato nessun referto negli ultimi mesi, perché sono sparsi tra il pediatra, il laboratorio e l’ospedale.

Con Ippo, Maria apre l’app, vede tutti i referti ordinati per data e per persona. Trova quello che serve, lo condivide con il medico via IppoLink in 10 secondi.

Il Dott. Rossi, ortopedico. Un paziente arriva per un follow-up dopo un intervento. L’ospedale di origine non ha condiviso i referti post-operatori. Il Dott. Rossi non ha il quadro completo.

Con Ippo, il paziente carica i propri referti. Il Dott. Rossi li vede direttamente, senza bisogno di telefonare a nessun ufficio.

Paolo, 70 anni, pensionato. Tiene i propri referti in una cassetta di sicurezza. Se succede qualcosa, sua figlia non sa dove sono.

Con Ippo, i referti sono in облако (no — let me fix this): con Ippo, i referti sono online, accessibili da chiunque abbia il consenso di Paolo. Sua figlia può vederli in emergenza.

Tecnologia al servizio delle persone

La sanità digitale non deve essere complessa. Non deve richiedere competenze tecniche, non deve essere costosa, non deve escludere nessuno.

Ippo è progettato per essere usato da chiunque — dai nonni ai nipoti, dai medici di famiglia agli specialisti, dalle strutture piccole alle grandi ospedaliere.

Perché alla fine, la tecnologia più bella è quella che non noti. Quella che semplicemente funziona, e ti fa risparmiare tempo prezioso.

Domande Frequenti

Ippo è gratuito? Ippo offre un piano gratuito per i pazienti individuali. Per le strutture sanitarie e i professionisti, esistono piani dedicati con funzionalità avanzate.

I miei dati sanitari sono al sicuro? Sì. Ippo utilizza crittografia end-to-end per tutti i documenti. I dati sono archiviati in server sicuri e non vengono mai condivisi senza il tuo consenso esplicito.

Posso usare Ippo con il Fascicolo Sanitario Elettronico? Sì. Ippo è progettato per integrarsi con i sistemi esistenti, inclusi i Fascicoli Sanitari Regionali. Non sostituisce il FSE — lo potenzia.

Come funziona IppoLink? IppoLink è un sistema di condivisione sicura che ti permette di inviare documenti sanitari pesanti (anche diversi GB) tramite un link temporaneo e cifrato. Il destinatario accede, visualizza e scarica i documenti. Tu controlli chi può accedere e per quanto tempo.

Ippo è disponibile in tutte le regioni italiane? Sì. Ippo non è legato a nessuna regione specifica. Funziona in tutta Italia e può essere utilizzato con dati provenienti da qualsiasi struttura sanitaria.

Per le PMI italiane, questo non è solo un problema tecnico — è un problema di sopravvivenza business.

Il problema dell’AI cloud per le PMI

Pensa alla tua azienda. I tuoi documenti commerciali, i tuoi prezzi, i tuoi contatti, le tue strategie — sono tutti dati che non vorresti mai vedere su server di terzi. Eppure, ogni volta che usi ChatGPT, Claude, Gemini o qualsiasi altra AI cloud, quei dati diventano parte di un ecosistema che non controlli.

Ecco cosa succede davvero quando usi l’AI nel cloud:

• I tuoi dati non sono più tuoi. Una volta inviati a un servizio cloud, perdi il controllo su cosa ne viene fatto
• I costi non sono prevedibili. I modelli a consumo crescono linearmente: più usi l’AI, più paghi. E quando la tua azienda cresce, i costi esplodono
• La dipendenza è totale. Se il servizio cloud cambia prezzo, interrompe il servizio o cambia policy, la tua azienda è ferma
• La compliance è a rischio. Il GDPR, la normativa sulla privacy, le normative di settore — tutto diventa più complesso quando i dati escono dalla tua azienda

Cos’è l’intelligenza artificiale locale

L’intelligenza artificiale locale è esattamente quello che sembra: un’AI che gira sulla tua infrastruttura, non su server remoti.

Con l’AI locale:

1. I tuoi dati restano tuoi. Tutto il processing avviene all’interno della tua rete aziendale
2. I costi sono fissi. Compri l’infrastruttura una volta, poi funziona per anni senza costi ricorrenti
3. Non dipendi da nessuno. Nessun cambiamento di prezzo, nessuna interruzione di servizio, nessuna policy esterna
4. La compliance è semplice. I dati non escono mai dalla tua azienda — il GDPR è soddisfatto per definizione

Perché le PMI italiane dovrebbero considerare l’AI locale

L’Italia ha oltre 4 milioni di PMI. Molte di queste hanno dati sensibili — contrattuali, finanziari, personali — che non possono essere condivisi con servizi cloud.

Settori che beneficiano di più

Studio legale. Un avvocato che lavora con documenti confidenziali, cause, segreti industriali — nessun cloud può garantire che quei documenti non vengano mai processati da un modello esterno.

Studio commercialistico. Bilanci, dichiarazioni fiscali, dati dei clienti — ogni anno i dati sensibili aumentano. Tenerli in locale è l’unica scelta ragionevole.

Studi medici e professionali. I dati sanitari sono i più sensibili in assoluto. Il GDPR li protegge in modo particolare. L’AI locale è l’unica opzione che rispetta pienamente la normativa.

Produzione artigianale. Formule produttive, progetti, rapporti con i fornitori — tutto materiale che definisce il vantaggio competitivo di un’azienda.

Consulenza e marketing. Strategie commerciali, piani di sviluppo, dati dei clienti — la materia prima di queste attività è la conoscenza, e la conoscenza non deve lasciare l’azienda.

ILAI: l’AI locale pensata per le imprese

Abbiamo costruito ILAI proprio per rispondere a queste esigenze. Non è un chatbot — è un collega digitale che:

• Lavora con i tuoi documenti, procedure e risorse interne
• Si adatta ai tuoi processi aziendali
• Cresce con la tua azienda, diventando più utile ogni giorno
• Garantisce che i tuoi dati non lascino mai la tua infrastruttura

ILAI è pronto per l’uso in aziende di ogni dimensione — dalle startup alle medie imprese che vogliono il controllo totale sui propri dati.

Confronto: AI cloud vs AI locale

Come iniziare

Non serve cambiare tutta la tua infrastruttura per iniziare. Con l’AI locale puoi:

1. Partire piccolo. Un singolo use case, un singolo processo
2. Imparare e crescere. ILAI si adatta alla tua azienda
3. Espandere gradualmente. Man mano che vedi i risultati, aggiungi nuovi workflow

Se vuoi capire come l’intelligenza artificiale locale può funzionare nella tua azienda, scrivici a info@ippocra.com o visita ilai.ippocra.com.

Domande Frequenti

L’AI locale è più costosa dell’AI cloud? No. L’AI cloud ha costi apparentemente bassi all’inizio, ma crescono linearmente con l’uso. L’AI locale ha un investimento iniziale (hardware + configurazione) ma poi funziona senza costi ricorrenti. Nel lungo periodo, l’AI locale è quasi sempre più economica.

Serve un computer potente per far girare l’AI locale? Serve un’infrastruttura adeguata, ma non serve un supercomputer. Una workstation con una GPU dedicata (circa €3.000-€7.000) è sufficiente per far girare modelli di intelligenza artificiale di livello professionale.

L’AI locale è meno potente dell’AI cloud? Non è una questione di potenza, ma di approccio. L’AI cloud è un modello generico che cerca di accontentare tutti. L’AI locale è personalizzata sul tuo contesto aziendale, quindi è molto più utile e precisa per i tuoi specifici bisogni.

Posso usare l’AI locale e l’AI cloud insieme? Assolutamente sì. Molte aziende usano entrambe: l’AI cloud per uso generale e l’AI locale per i dati sensibili e i processi critici. La scelta non è “tutto o niente”.

Read our last post: Welcome ILAI, Ippocra’s Local AI

In June, we unveiled our first ILAI — Ippocra Local Artificial Intelligence — and sold it to a client. That was the proof of concept. Now, a month later, we’re building more ILAIs, and the story is accelerating fast.

What is an ILAI?

An ILAI is not a SaaS tool you subscribe to. It’s a complete artificial intelligence system that runs entirely on the company’s own infrastructure — on-premise, behind the corporate firewall, under their control. No cloud dependencies, no data leaving the building, and no variable costs based on usage.

Each ILAI is customised for the specific business it serves. It learns the company’s processes, documents, workflows, and culture. It becomes a digital colleague — not a chatbot, but an actual collaborator that grows more useful every day.

Our current ILAI farm

We’re currently running several ILAI deployments, each tailored to a different client:

Each tower is a dedicated machine — a physical ILAI — sitting on the client’s premises, running locally, processing real business data in real time. The hardware may look like ordinary servers, but what runs inside them is something entirely different: AI that knows the company, understands its context, and works alongside the team.

The stickers on each machine are more than branding — they’re a declaration of principle. ILAI means Ippocra Local Artificial Intelligence, the virtual colleague, private by design.

Why local AI matters

The cloud AI model has one fundamental problem: your data leaves your building. Every query, every document processed, every piece of context is sent to a third party. For businesses that handle sensitive information — financial data, client records, strategic plans — that’s not just inconvenient. It’s unacceptable.

Local AI flips that equation:

• Your data stays where it belongs. Inside your company. Behind your firewall. Never transmitted.
• Costs are fixed, not variable. You know exactly what you’re paying. No per-token surprise bills.
• The AI becomes smarter over time. Every interaction with your team adds to its knowledge base. It doesn’t reset every session.
• Full compliance. GDPR, industry regulations, internal policies — everything is respected by design.

From one to many

The first ILAI was a research effort — an experiment, a prototype, a demonstration created for internal use, because data matters and must always be preserved. And at Ippocra, we care about privacy. But ILAI could be useful to many people and companies, so we launched it as a product. And now we’re scaling it.

Building multiple ILAIs simultaneously has taught us a lot:

• Customisation is real, not theoretical. Each ILAI needs to understand a different domain, different terminology, different workflows. We’ve built the framework to handle this efficiently.
• Performance matters. Local AI needs to be fast enough to feel instant, not a delayed response that kills the user experience.
• Hardware selection is critical. The right balance of compute, memory, and cost per deployment. We’ve optimised this.
• Support is an ongoing relationship. Every ILAI is a long-term partnership, not a one-off sale.

What’s next

We’re not done. Far from it. Every new ILAI we build makes our framework stronger, faster, and more adaptable. The goal is clear: make local AI the standard for businesses that take their data seriously.

If you’re a business that handles sensitive information and you’re tired of wondering where your data goes when you use AI, let’s talk.

Every ILAI is unique because every business is unique. We’d love to build one for you.

Write to us at info@ippocra.com or visit ilai.ippocra.com to learn more.

Frequently Asked Questions

How is an ILAI different from ChatGPT or Claude?

An ILAI runs on your own hardware, not on a cloud provider’s servers. Your data never leaves your company. The AI adapts to your specific context instead of being a generic model. And your costs are fixed, not usage-based.

Does an ILAI require an internet connection?

No. The core AI runs entirely locally. An internet connection is only needed for updates and maintenance — not for daily operations or data processing.

How much does an ILAI cost?

The cost depends on your infrastructure needs, the scale of deployment, and the specific customisation required. Contact us for a personalised evaluation.

Does ILAI replace people?

No. ILAI is designed to be a collaborator, not a replacement. It works alongside your team, handles repetitive tasks, accelerates research and analysis, and becomes more valuable over time.

Can I have my own ILAI?

Absolutely. Every ILAI is customised for the specific business. If you’d like to see what an ILAI could do for your company, reach out to us at info@ippocra.com.

Leggi il nostro ultimo post: Benvenuto ILAI, l’intelligenza artificiale locale di Ippocra

A giugno abbiamo presentato il nostro primo ILAI — Ippocra Local Artificial Intelligence — e lo abbiamo venduto a un cliente. Era la dimostrazione che si poteva fare. Ora, un mese dopo, ne stiamo costruendo altri e la storia sta accelerando.

Cos’è un ILAI?

Un ILAI non è un tool SaaS a cui ti abboni. È un sistema completo di intelligenza artificiale che gira interamente sull’infrastruttura dell’azienda — on-premise, dietro il firewall aziendale, sotto il loro controllo. Nessuna dipendenza dal cloud, nessun dato che lascia l’azienda, e nessun costo variabile basato sull’utilizzo.

Ogni ILAI è personalizzato per l’azienda specifica che serve. Impara i processi, i documenti, i workflow e la cultura aziendale. Diventa un collega digitale — non un chatbot, ma un vero collaboratore che diventa più utile ogni giorno.

La nostra farm di ILAI

Al momento stiamo gestendo diversi deployment di ILAI, ognuno personalizzato per un cliente diverso:

Ogni torre è una macchina dedicata — un ILAI fisico — posizionata nei locali del cliente, che gira in locale, elabora dati aziendali reali in tempo reale. L’hardware può sembrare un server ordinario, ma ciò che gira al loro interno è qualcosa di completamente diverso: un’AI che conosce l’azienda, ne comprende il contesto e lavora insieme al team.

Gli adesivi su ogni macchina sono più di un semplice branding — sono una dichiarazione di principio. ILAI significa Ippocra Local Artificial Intelligence, il collega virtuale, privato per design.

Perché l’AI locale conta

Il modello di AI in cloud ha un problema fondamentale: i tuoi dati lasciano il tuo edificio. Ogni query, ogni documento elaborato, ogni pezzo di contesto viene inviato a una terza parte. Per le aziende che gestiscono informazioni sensibili — dati finanziari, record dei clienti, piani strategici — questo non è solo scomodo. È inaccettabile.

L’AI locale capovolge questa equazione:

• I tuoi dati restano dove appartengono. Dentro la tua azienda. Dietro il tuo firewall. Mai trasmessi.
• I costi sono fissi, non variabili. Sai esattamente quanto stai pagando. Nessuna sorpresa nei consumi.
• L’AI diventa più intelligente nel tempo. Ogni interazione con il tuo team arricchisce la sua base di conoscenza. Non si resetta ad ogni sessione.
• Conformità totale. GDPR, regolamenti di settore, policy interne — tutto è rispettato per design.

Da uno a molti

Il primo ILAI è stato un lavoro di ricerca — un esperimento, un prototipo, una dimostrazione creato per utilizzo interno, perchè i dati sono importanti e vanno sempre preservati. E noi, ad Ippocra ci teniamo alla privacy. Ma ILAI poteva essere utile a tante persone e Compagnie, e quindi siamo usciti con un prodotto. Ed ora lo stiamo scalando.

Costruire più ILAI simultaneamente ci ha insegnato molto:

• La personalizzazione è reale, non teorica. Ogni ILAI deve comprendere un dominio diverso, terminologia diversa, workflow diversi. Abbiamo costruito il framework per gestire questo in modo efficiente.
• Le prestazioni contano. L’AI locale deve essere abbastanza veloce da sembrare istantanea, non un ritardo che uccide l’esperienza utente.
• La selezione dell’hardware è critica. Il giusto bilanciamento tra potenza di calcolo, memoria e costo per deployment. Abbiamo ottimizzato questo aspetto.
• Il supporto è una relazione continua. Ogni ILAI è una partnership a lungo termine, non una vendita una tantum.

Cosa ci aspetta

Non abbiamo finito. Per nulla. Ogni nuovo ILAI che costruiamo rende il nostro framework più solido, più veloce e più adattabile. L’obiettivo è chiaro: fare dell’AI locale lo standard per le aziende che prendono sul serio i propri dati.

Se sei un’azienda che gestisce informazioni sensibili e sei stanco di chiederti dove vanno i tuoi dati quando usi l’AI, parliamone.

Ogni ILAI è unico perché ogni azienda è unica. Ci piacerebbe costruirne uno per te.

Scrivici a info@ippocra.com o visita ilai.ippocra.com per saperne di più.

Domande Frequenti

Come è diverso un ILAI da ChatGPT o Claude?

Un ILAI gira sull’hardware della tua azienda, non sui server di un provider cloud. I tuoi dati non lasciano mai la tua azienda. L’AI si adatta al contesto specifico invece di essere un modello generico. E i tuoi costi sono fissi, non basati sul consumo.

Un ILAI richiede una connessione internet?

No. L’AI core gira interamente in locale. Una connessione internet serve solo per aggiornamenti e manutenzione — non per le operazioni quotidiane o l’elaborazione dei dati.

Quanto costa un ILAI?

Il costo dipende dalle esigenze infrastrutturali, dalla scala del deployment e dalla personalizzazione specifica richiesta. Contattaci per una valutazione personalizzata.

ILAI sostituisce le persone?

No. ILAI è progettato per essere un collaboratore, non un sostituto. Lavora insieme al tuo team, gestisce i compiti ripetitivi, accelera ricerca e analisi e diventa più prezioso nel tempo.

Posso avere il mio ILAI?

Assolutamente sì. Ogni ILAI è personalizzato per l’azienda specifica. Se vuoi vedere cosa potrebbe fare un ILAI per la tua azienda, scrivici a info@ippocra.com.

Welcome ILAI. — the name says it all. Ippocra Local Artificial Intelligence. An artificial intelligence that doesn’t run on remote servers, but lives on your own infrastructure — yours, your data, under your control.

The story of how we got here is short, intense and, I’d say, very typical of how we build things: it starts with an observation, transforms into a product and then into a sale.

April: we start working with local AI

It all began in April 2026. We decided to invest seriously in the world of local artificial intelligence — running AI models directly on the user’s infrastructure, without depending on external clouds.

We had seen that pay-per-token models were becoming the main approach, with the possible cost increases that come with using artificial intelligence. Furthermore, the data we wanted to process was too valuable to be sent to cloud platforms that would turn it into a commodity. We already had experience in privacy-first technology with Ippo, but local AI was something completely different: a product from scratch, to be built, tested and perfected.

May: we realised we had something special

By mid-May, after weeks of development, testing and iteration, we realised we had something interesting on our hands. It was no longer just an experiment — it was a product with real value.

We had built an agentic collaboration system where AI isn’t a chatbot limited by sessions and tokens, but a digital colleague that works alongside you, learns from your context and becomes more useful every day. A system that respects data privacy by definition — because everything runs locally.

Time to prepare the product. To turn the experiment into something solid, stable, ready for a real user.

June: the product is ready and we’ve sold our first ILAI

By mid-June, the work was done. ILAI was tested and market-ready. We packaged it all up: the product, the documentation, the site at ilai.ippocra.com, everything ready.

The product is so interesting and revolutionary that we’ve already sold our first ILAI.

The market responded with a surprising speed. Businesses that finally understood there was an AI that respects their data, doesn’t send it to the cloud and adapts to the way they work.

And this is just the beginning.

How it works

ILAI is an artificial intelligence that runs locally on your infrastructure. This means:

• Your data never leaves your business. No cloud servers, no external APIs.
• Predictable costs. You know what you’re spending and when. No surprises.
• A colleague that grows with you. ILAI adapts to your processes and becomes an asset that accumulates over time.
• Privacy guaranteed. Your data is processed only locally.

Want your own ILAI?

If you’re an entrepreneur, a professional or a business that wants to understand how local artificial intelligence can work in your context, let’s talk.

Every business has different needs and every ILAI is customised. Write to us at info@ippocra.com or visit ilai.ippocra.com to learn more.

ILAI is ready. Are you?

Frequently Asked Questions

What is ILAI?

ILAI (Ippocra Local Artificial Intelligence) is an artificial intelligence that runs locally on your infrastructure. It’s not a cloud service, doesn’t require an internet connection for main processing, and never sends your data to external servers. It’s pronounced as a single word, not as individual letters.

Is ILAI different from ChatGPT or Claude?

Yes. Unlike cloud models such as ChatGPT or Claude, ILAI runs on your infrastructure. Your data never leaves your environment, costs are fixed and predictable, and the system adapts to your specific context instead of being a generic model.

How much does it cost to get an ILAI?

The cost depends on the infrastructure and specific needs of each business. Contact us for a customised evaluation.

Does ILAI replace people?

No. ILAI is designed to be a collaborator, not a replacement. It works alongside your team, automating repetitive tasks, helping with research and analysis, and becoming more useful over time.

Ippocra today has two sections: Ippo, the health platform for families, and Ideallab, software and AI consulting for businesses.

But it hasn’t always been this way.

Ippocra was born with a single idea

It all started with Ippo — the health platform that organizes, finds, and securely shares medical records. We built it starting from a concrete problem we had seen up close: scattered documents, hard to find, impossible to share with anyone who isn’t an expert.

The mission was clear: make health more manageable for Italian families. And for a while, that was all there was.

The market spoke to us

While we were working on Ippo, requests from another direction began to come in more frequently. Businesses, small and medium-sized, were asking us: “Can you build us a tool that does this?”

We initially viewed them as distractions. Then we realized they weren’t.

One of these projects became Rendiconto — born from direct experience with BRAL BRUSAFERRI SRL, a company that was manually cross-referencing invoices and transport tolls from different suppliers with different discounts. An incredibly long process, entirely manual, with no software able to solve it. We built it tailored to that specific case, and it worked.

But it was the feedback from others that changed everything: “What you did for BRAL, can you do it for us too?”

We realized we were facing a real, widespread need, and — most importantly — a need people were willing to pay for.

The decision: opening Ideallab

We opened Ideallab, the division dedicated to custom software and AI consulting for SMEs.

It wasn’t in the initial plan. But it was the direction the market was forcing us toward.

Ideallab is born from a clear observation: most SMEs don’t need prefabricated tools — they have data problems, manual processes, and software that doesn’t adapt to the way they work. And those are the exact same skills we used to build Ippo: privacy-first, pragmatic, built around real-world workflows.

Today Ideallab does two things:

Custom software

Tailored applications, designed around your workflows. Zero unnecessary features, zero compromises — just software that does what you need.

AI consulting

Practical artificial intelligence integration for SMEs. We assess where AI generates value, recommend the right approach (often not the one you’d expect), and help you implement it.

And behind both lies the same promise: your data stays yours. No lock-in, no cloud API calls, no data leakage.

Ippocra today: a company with two sections

After this discovery, we redefined what Ippocra is.

Ippocra is the parent company — a technology company building tools for the future of healthcare and business. It has two sections:

• Ippo — the health platform for families and patients
• Ideallab — custom software and AI for SMEs

Two sections, one company. Two complementary missions, one common approach: building software that adapts to people, not the other way around.

Where we’re putting our energy

Let’s be honest: today we’re putting everything into Ideallab.

Ippo isn’t on pause. It’s a working product, we’re improving it day by day, and we’ll continue to serve it. But the reality is the market is speaking loudly, and Ideallab is where we’re concentrating our energy.

Ippo isn’t going anywhere. It will remain active, continue to receive maintenance and new improvements, and will continue to serve those who already use it and those who will in the future. But the main growth and development are on Ideallab.

This is the life of a startup: discover where the market needs you most, and go there. It’s not a rethink — it’s an evolution.

What’s next

With Ideallab, we’re building something that can truly make a difference for SMEs. We already have projects in progress, new partnerships incoming, and interest that exceeds every expectation.

We’re also exploring a direction close to our hearts: local AI. Running artificial intelligence models on your own infrastructure, not on third-party servers.

Why?

For three reasons:

• Your data stays yours. Anyone handling GDPR-covered data knows they must be extremely careful about this, especially with the arrival of the EU AI Act.
• Your costs are predictable. You know exactly what you’re spending, instead of being subject to the opaque pricing of Claude or ChatGPT sessions, which keep getting shorter and more expensive.
• You can build your own AI collaborator. The ability to work without token or session limits opens up many scenarios for an agentive approach, where the Large Language Model isn’t the end goal but part of a larger system that guides it. This means you can delegate task execution to AI and essentially grow it to fit your needs.

Let’s talk

If you’re an SME looking for software that adapts to your business — not the other way around — or if you want to understand how AI can work in your company without putting your data at risk, let’s talk.

Visit Ideallab →

Or write to us directly at info@ippocra.com.

Frequently Asked Questions

Is Ideallab a spin-off from Ippocra?

No. Ideallab is not a spin-off or a separate company. It’s a division of Ippocra S.R.L. — like Ippo, it’s part of the same company. We have two sections operating under the same roof, with the same team and the same principles.

Will Ippo continue to be developed?

Yes. Ippo will continue to receive maintenance, new improvements, and support for all current and future users. It’s not a suspended project — it’s simply the division we’re not actively pushing forward at the moment.

What is local AI?

Local AI means running artificial intelligence models directly on your infrastructure — your server, your computer, your network. No data leaves your control. There are no calls to external cloud APIs, no lock-in with suppliers, no risk of data leakage. It’s AI that works like a tool in your company, not a service that uses your data.