Point AI at the one thing your competitors can't rent: your own intelligence.
Everyone can rent the same generic AI. The advantage is what you point it at. Maya lets your internal AI find the patterns and relationships in your most sensitive data — customers, contracts, operations — while external AI only ever contributes generic reasoning on a stripped, anonymized fragment.
Deployed in 5 European countries · referenceable clients · zero data storage · any AI model
An AI request is really two things. You only needed to rent one.
The work that depends on who you are stays inside. Only the small, generic remainder is ever sent out — anonymized.
Your intelligence
The judgment that depends on who you are — pricing logic, customer nuance, process know-how, the relationships in your data. No competitor has it, and none can rent it.
The model's reasoning
Generic thinking horsepower — summarise, draft, classify, compute. It is the same for you and your rivals: a commodity you rent by the token, only when it adds value.
The reasoning is generic — you can rent it. Your intelligence isn't — so it should never have to leave to benefit from that reasoning.
One environment. Most of the work never leaves it.
Maya isn't a pipe in front of a model — it's an internal AI environment your systems plug into. Text, documents, voice and vision are handled inside, on your real data. Only a minimal, anonymized task ever reaches an outside model, and the answer comes back in.
Connect a source and you're grounding AI on it in hours, not months.
Every route is traceable end to end — what moved, which model answered, what it cost, what was decided, and how good the result was — exportable for regulators and internal audit.
Follow one request, end to end
Not the architecture, and not the transformation — the path a single request travels every time, in order.
Understand
Who's asking, the purpose, the data class, the outcome needed.
Protect
Anonymize, minimize, apply your policy.
Resolve
Do the work with internal AI, on your data, wherever possible.
Extend
Call an external model only for the capability still required.
Verify
Check the result, record the route, return a business-ready answer.
Internal-first by default. External only when it earns its place — and always on the record.
Real business context in. Anonymized tokens out. The real answer back.
Sensitive elements are transformed before anything leaves. The external model reasons on tokens; the answer is re-identified locally, inside your environment, for the person allowed to see it.
"Summarise the renewal risk for Nordvik Industrier AS (contract #NRV-4471). They owe €412,000, contact is Ingrid Sæther, terms are Net-60."
"Summarise the renewal risk for ACCOUNT_7741 (contract #CTR_0192). They owe AMOUNT_A, contact is PERSON_3, terms are TERMS_2."
"Nordvik Industrier AS carries €412,000 outstanding on Net-60 terms. Given the 3-year history, recommend tightening terms before renewal; loop in Ingrid Sæther…"
Not a roadmap. Running in production.
Deployed across five European countries, with referenceable clients — on exactly this internal-first model.
Public hospital · test & training data
AI chat for documentation · SAP
Enterprise AI · regulated data
Large-scale system anonymity
HQ · Dublin
Tax-record AI with an anonymity layer
Delivered work
- Transforming complete SAP systems into test, sandbox and AI-training environments
- Querying Oracle and SAP databases for valid IBANs under full anonymisation
- Real-time redaction of faces and number plates on operational camera feeds
- AI on operational documentation with anonymity applied at source
Guarantees your security team can verify — not take on faith
The split only reaches production because privacy and security leaders can prove control. Here is what they get, by default.
Reversible only inside
Pseudonymise for AI; restore the real values only under permission and audit. The transformation is cryptography-based — not guesswork — and the external model can never reverse it.
✓ re-identify under permission + auditEvery route on the record
Who asked what, which model answered, what was masked and what was restored — captured for every request and exportable for regulators and internal audit.
✓ exportable audit trailRuns where you allow it
On-premises, in your cloud, or managed — proven in air-gapped environments where nothing may leave at all. Zero data storage: nothing new to breach or subpoena.
✓ on-prem · air-gap · zero storageWhat a CFO actually gets
A fixed, forecastable AI cost line — token-less, unlimited use at a predictable price.
An intangible asset that stays on your balance sheet, not a supplier's.
Negotiating power: swap model providers without rebuilding a single workflow.
GDPR, EU AI Act, NIS2 and SOC 2 evidence — produced as a by-product of running.
Real numbers: in one deployment, an anonymized SAP system copy saved €250K+ in the first cycle.
Intelligence that accrues
Every query, correction and document improves models that live on your side. The asset grows with use — instead of being donated to a model your competitors can rent too.
Every month you wait, the advantage leaks.
Your edge becomes a feature
The moment your operating knowledge lands in a shared model, it stops being a differentiator and becomes an industry commodity.
One vendor holds the dial
Pricing, model deprecation and terms change without you. Every workflow built on a single provider deepens the lock-in.
Shadow AI is already running
Staff are pasting contracts, tickets and customer records into consumer tools today — unlogged, and accountable under the EU AI Act.
MAYA's technology presents a revolutionary solution to the challenges faced while creating test and training systems from production systems. As there is no other solution available, we are very happy that MAYA was offering the product we need.
Everyone can rent the same AI. Only you have your intelligence — so point AI at it, keep it inside, and let it compound into the advantage no competitor can buy. Bring one use case; we'll map what stays in, what goes out, and what it's worth.