The intelligence that makes your company win is finally usable by AI
Your pricing logic. Customer relationships. Contract history. Operational know-how. The assets that make your company hard to copy are the exact assets your AI cannot safely use today.
AISafe™ makes them AI-safe.
Use the knowledge that matters — without exposing it to AI vendors, model providers, or unauthorized systems.
What would your AI achieve if it could safely use the 80% of knowledge everyone else leaves out?
- ✓Customer history instead of generic responses
- ✓Contract intelligence instead of document search
- ✓Business decisions instead of AI summaries
- ✓Enterprise protection without storing the data
Live deployments in Norway · Germany · Switzerland · Austria · Ireland
ISO 27001 · SOC 2 · EPO + USPTO Patents
Your most valuable knowledge is the knowledge you cannot put into AI
Generic AI runs on public information — the same information your competitors can access. The data that actually differentiates you is exactly what you can't safely use.
Pricing logic
Discount rules, margins and deal history are your commercial edge — and precisely what you can't paste into a public model.
Customer relationships
Account context, personal history and negotiation notes are gold for AI — and a GDPR incident waiting to happen.
Contract history
Terms, clauses and obligations hold the answers your teams need — locked away because the documents are too sensitive to share.
Operational know-how
The processes that make you efficient live in SAP, Oracle and files that no one dares connect to an external LLM.
Shadow AI, today
Your people are already pasting real data into consumer AI tools — and you can't see it, log it, or control it.
The result
The assets that make you hard to copy are the exact assets your AI is not allowed to use. So AI stays a demo, not a differentiator.
Whichever stage you are at, the same question decides it
Whether you are planning your first AI initiative, running pilots, or scaling adoption across the company, one question keeps returning: can it safely use your proprietary business context?
If the answer is no, the initiative stays generic, slows down in review, or never reaches the data that would make it valuable. Maya helps you design for that question before it becomes a bottleneck.
See how AISafe answers it →One business question. Two answers. Only one knows the enterprise.
The same request, from the question to where the work is done to the difference it makes in the answer.
"Which of our top accounts are at risk of not renewing next quarter — and why?"
- Pull the accounts, contracts and renewal history from SAP & the CRM
- Find the churn signals: escalations, discount creep, champion changes
- Rank by risk using the relationships in your data
- Draft the wording on tokenized entities
- No client, deal size or owner leaves your walls
"Accounts may churn due to price sensitivity, poor engagement or competition. Consider outreach and satisfaction surveys."
"Three accounts are at risk: one with 3 Q2 escalations and an expiring 12% discount; one whose champion just left; one trending below renewal benchmark. Prioritise the first — highest value, soonest."
Internal know-how is the moat competitors cannot copy
Playbooks, decisions, expertise and institutional memory compound over years into your real advantage — and it is exactly what generic AI is not allowed to touch. AISafe makes that know-how usable by AI without ever exposing it, so the longer you operate, the more your AI knows that theirs never will.
Not safer AI demos. Useful enterprise AI outcomes.
Revenue
AI can use customer and contract history to support commercial decisions.
Productivity
Employees spend less time searching and more time acting on business context.
Risk
Sensitive knowledge stays protected while AI remains useful.
Speed
AI initiatives move faster because the data exposure question is addressed early.
What would your AI achieve if it could safely use the knowledge that makes you win?
Bring one AI use case. Maya will show how the data behind it becomes AI-safe.
Show us your AI use case →