Sovereign AI for your business
Your data. Your infrastructure. Your competitive advantage. Local AI solutions that work without the cloud, without dependencies, without compromises.
Your data is working for someone else
Every day, thousands of companies send their most valuable data — contracts, medical records, pricing strategies, production data — to servers they don't control. Nobody audits it. Nobody knows what happens to it along the way.
This isn't a matter of bad intentions or bad tools. It's a systemic problem: mainstream AI runs in the cloud, and the cloud means someone else's server, someone else's terms of service, and someone else's rules. A change in service conditions, a foreign data center outage, new data transfer regulations — and your business grinds to a halt because your critical infrastructure belongs to someone else.
This affects every industry — from law firms through hospitals to manufacturing companies. The more sensitive the data you process, the greater the risk you bear by relying on infrastructure you don't control.
A window of opportunity that's closing
Artificial intelligence is being adopted faster than any previous technology. Most companies are still in early stages, while the global AI market doubles year over year.
This means one thing: those who invest now build an advantage. Those who wait will be playing catch-up.
At the same time, cloud AI is becoming a commodity. Chinese open-source models are closing the gap with American leaders. In a year or two, everyone will have access to the same intelligence, at the same time, for a similar price. When everyone uses the same tool, nobody has an advantage.
The only lasting differentiator becomes your own AI — with access to your data, embedded in your business context, running on your infrastructure. This isn't about cost savings. It's about whether in three years you'll own your business intelligence, or you'll be paying rent that someone else sets.
Sovereign AI from Hetairos — yours from day one
Hetairos builds local AI systems that run entirely on the client's infrastructure. Data never leaves your server. Every access is logged. The system works even without an internet connection.
We don't sell an "implementation project" that takes months and costs a fortune. We deliver ready-made solutions — configured, tested, working from the day of launch.
Data sovereignty
Your documents, client data, trade secrets — processed exclusively on your hardware. No US servers, no transfers across the ocean, no unclear cloud service terms.
Specialization over generality
We don't build "AI for everything." We build AI that understands your specific context — your local law, your industry documentation, your regulatory realities. A system with access to your documents, procedures, and knowledge bases is more accurate than the best general model starting from scratch — without your organization's context.
Technological independence
The hardware is yours. Software based on open standards. Data in formats any tool can read. If you ever decide to change providers — you'll do it in weeks, not months.
Security built in, not bolted on
Most AI solutions are born in engineering labs, and only later does someone check whether they comply with the law. At Hetairos, it was the other way around.
From day one, our systems were designed by a team where alongside AI engineers and software architects, a data protection lawyer and an entrepreneur with real operational experience work hand in hand. Compliance isn't a layer added after the fact — it's the foundation the entire architecture stands on.
Why this matters
When an AI provider says "we're GDPR compliant," it usually means someone wrote a privacy policy and signed a data processing agreement. At Hetairos, compliance is built into the system architecture — in how data is processed, where computations happen, in the structure of access logs, in the separation of sensitive data from metadata.
When the next stages of the AI Act come into force — including requirements for high-risk systems — organizations using Hetairos solutions won't need to rebuild their infrastructure. They'll only need to update documentation, because the technical foundation already meets those requirements.
Sovereignty by default. Best models when you need them.
We don't force you to choose between security and quality. Our hybrid model combines both worlds.
Local AI is your eyes and hands. The vast majority of daily tasks — document classification, information retrieval, summaries, text analysis, building vector knowledge bases, OCR and document organization — is handled locally. No API costs, no latency, no leak risk. Your data is processed, indexed, and analyzed on your hardware, in a model that understands your organizational context.
Large cloud models are your strategic advisor. When a need arises beyond local context — market trend analysis, assessment of the changing regulatory landscape, building internal strategic frameworks, verifying your approach against the latest knowledge — the system reaches for frontier models. Nobody can track everything changing in technology, regulations, and markets in real time. Large models can do it for you — but they work exclusively on anonymized, aggregated metadata. Never on raw documents, never on personal data.
You decide what stays local and what goes to the cloud model. Every external query is logged. You have full control and full visibility.
This isn't a compromise. It's an architecture that gives you data security where it's critical, and the strategic perspective of the best models where you need it.
Local layer
Classification, search, summaries, OCR, vectorization, text analysis — no data transfer, no API costs, no latency
Anonymization layer
Automatic removal of personal data and identifying information before every external query
Cloud layer
Strategic advisor — trend analysis, regulatory landscape, approach verification — exclusively anonymized metadata
Solutions tailored to your industry
Law & legal practices
Your biggest client just hired a compliance officer. In six months, they'll ask how you process their documents. What will you say?
Lex Sapiens — our first pilot agent — is a local AI system with a full access log. Every document opening, every query, every analysis — logged and auditable. Built on Polish language models and supplemented with Polish legal database search, it understands nuances that general models miss. Corporate clients increasingly audit their vendors — including law firms. Non-compliance with data protection requirements today means losing the tender, not just risking a fine.
Healthcare & medicine
Your patients trust you with their health. Do you trust a company in California with their medical data?
A local medical agent assists with documentation, results analysis, and literature review — without sending anything outside the hospital or clinic. Full GDPR and medical confidentiality compliance from day one. We start with administrative and documentation applications — where local AI already works with high effectiveness and regulatory risk is highest. In hybrid mode, the system can access the latest clinical guidelines and medical knowledge bases through aggregated, anonymized queries — without revealing patient data.
HR & recruitment
The best specialist on your team didn't have a conventional educational background. How many such people did you reject because their CV didn't fit the template?
Traditional recruitment relies on subjective impressions, unstructured interviews, and CV filters that eliminate talented people with unconventional paths — what decision psychology calls "noise" in evaluation. At the same time, recruitment data is personal data subject to GDPR. A company processing candidates' CVs through cloud AI tools violates regulations, even if unaware.
Our second pilot project — an HR agent built on the methodology of Daniel Kahneman and the work of James W. Pennebaker — works in two directions: it helps recruiters assess adaptability and potential instead of relying solely on formal qualifications, and helps candidates with unconventional experience present their competencies in a format employers understand. All locally, with full data protection compliance.
SAP & S/4HANA migration
The ECC to S/4HANA migration deadline is approaching fast, and more than half of SAP companies still haven't completed the process. Consultant costs rise quarter by quarter. Every month of delay means a higher price and fewer available specialists.
Your migration requires analysis of thousands of objects, process mapping, and configuration testing. You can pay a consultant for six months — or have an agent that completes the review in days. The agent understands local ERP realities: accounting postings, tax reporting formats, e-invoicing requirements. It works on your data, but that data never leaves your server — every external consultant sees your structures, while the Hetairos agent analyzes them locally.
This isn't replacing humans. It's accelerating their work by weeks and reducing the risk that critical knowledge about your system ends up in the wrong hands.
Industrial automation & Facility Management
Can you afford downtime because your cloud provider had an outage?
Edge AI on edge infrastructure: acoustic analysis, machine monitoring, failure prediction — fully offline. Zero latency, zero dependence on internet connection. Your production line doesn't wait for a response from a server across the ocean. For commercial properties — a ready "in-the-box" solution you install in days, not months. In hybrid mode, the system can use large models for failure trend analysis, industry benchmarking, and maintenance strategy planning — without revealing your facility's operational data.
Scientific research
Your research data is worth years of work. It shouldn't pass through foreign servers before you publish your results.
Local AI for documentation analysis, natural language processing, and literature review — without risking loss of scientific priority and with full compliance with ethics committee requirements. Bioethics committees are tightening requirements for research data processing, and researchers using mainstream cloud tools may violate these requirements unknowingly. With locally deployed models, research institutions can build analytical environments without investing in commercial cloud platforms or risking data exposure.
Local AI for local realities
We work with specialized language models — fine-tuned for the domains and languages our clients operate in.
This isn't about ideology. It's about precision.
Every market has legal, medical, and financial language with specifics that general-purpose models don't capture. Terminological nuances, regulatory context, the structure of official documents — in these areas, a language model understanding local syntax and terminology, supplemented with domain-specific database search, is simply more accurate.
In specialized tasks — such as searching regulatory documents or industry-specific compliance requirements — fine-tuned models achieve results comparable to the largest commercial models. Not because they're "better overall" — they're not. Because in specialized applications on domain-specific data, the advantage of scale gives way to the advantage of context.
This logic is proven globally: specialized AI systems — for law, medicine, programming — are growing fastest and generating the highest revenues, competing effectively with general-purpose models. Hetairos applies this principle to every market we enter.
Why not a big tech corporation
We don't compete with Amazon, Google, or Microsoft on scale. We compete on a field where they structurally cannot win.
No conflict of interest
Amazon sells you AI while competing with your e-commerce. Google sells you analytics tools and reads your data. Hetairos does not conduct business that competes with its clients.
Locality as a model
Big tech companies must centralize — their revenue model depends on it. Hetairos decentralizes — our value depends on it. These models are structurally incompatible.
Regulation as advantage
For global corporations, GDPR and the AI Act are constraints and costs. For Hetairos, they're the foundation of our offering. The stricter the regulations, the greater the value of a sovereign approach.
Big tech companies offer "local variants" of their services — Azure Stack, AWS Outposts. But it's still their infrastructure, their terms, their rules. Sovereignty means ownership, not tenancy.
AI infrastructure is an investment, not a cost
A cloud subscription is an operating expense that grows and that you don't control. Your own AI infrastructure is a capital asset that works for your benefit.
Your knowledge base — documents, procedures, decision history — processed locally, is your trade secret. If it has never left your server, nobody can copy it. AI infrastructure built through years of use has value that can be appraised, insured, and used as collateral.
A change in a foreign provider's policy doesn't affect your system. Tightened regulations mean a configuration change, not a provider change. A data center outage on the other side of the ocean doesn't stop your work.
Every month of local AI use deepens your advantage — the knowledge base grows, context enriches, the system becomes increasingly accurate in its responses. This value — the combination of model, data, and organizational context — is practically impossible for competitors to replicate. In the cloud, this value belongs to the provider. Locally — it belongs to you.
Cloud
- Rising subscription costs
- Data on someone else's server
- Provider dependency
- No control over changes
Local
- Capital asset on the balance sheet
- Full data ownership
- Technological independence
- Growing advantage over time
How we begin working together
Conversation & analysis
We start by understanding your context — what data you process, what regulatory requirements you have, where the greatest value of automation lies. We don't propose a solution until we confirm it makes sense for you.
Configuration & deployment
We deliver a configured system — hardware, software, integration with existing infrastructure. For many applications, it takes days, not months. You don't need an AI team or a six-month implementation project.
Connecting to organizational context
Connecting the system to your documents and knowledge bases, integration with existing infrastructure, team training. The more organizational context the system has, the more accurate its responses become.
Support & growth
Ongoing technical support, model updates, expanding use cases. You start with one use case — and grow as needed.
This isn't a solution for everyone
We believe honest communication builds trust better than promises without substance.
Local AI makes the most sense for organizations that process sensitive data — legal, medical, financial, industrial — and for whom a leak or loss of control over that data means real business or regulatory consequences.
If your needs are limited to simple text tasks without sensitive data, generally available cloud tools may suffice. If you're planning short-term or don't have anyone on your team who can be a technology partner on the business side — the implementation may not deliver expected results.
Our model works best where there's real pain — compliance risk, leak threat, dependence on a foreign provider, need for specialization, offline operation requirements. That's where the value of sovereign AI is most visible and most quickly felt.
About Hetairos Foundation
Hetairos is a technology foundation building sovereign AI solutions for businesses and public institutions.
We were founded on the conviction that a good AI solution cannot be built in isolation from law, business, or industry context. That's why our team from the start combines competencies that rarely coexist in the technology industry: law and data protection, software architecture, artificial intelligence engineering, and business operations experience.
A practicing lawyer with data protection experience ensures every system element meets regulatory requirements — not theoretically, but in a defensible way in case of audit. An entrepreneur with operational experience verifies whether the solution addresses real business problems. An AI engineer designs models and search systems that work locally with required performance. A software architect ensures the whole is scalable, secure, and maintainable in the long term.
We work with cybersecurity experts, GDPR consultants, SAP practitioners, and industry specialists. We operate at the intersection of open language models, specialized software, and local regulatory contexts.
Our mission is to provide organizations access to advanced artificial intelligence without having to surrender their data, independence, and control to foreign technology corporations.
Your data deserves better protection than a terms of service that changes every quarter.
Let's talk about how sovereign AI can work in your organization.
Let's talk