For system integrators, consultancies, and platform teams
Win the regulated-AI deals a horizontal stack can't.
Your client is blocked on AI governance. Horizontal tools close the generic gaps – not the one that matters: provable, in-perimeter depth on the data and the decisions, with evidence built for regulatory scrutiny. That's Realm, embedded into your delivery.
You own the client. We bring the depth. You win the deal.
The main way in
Co-deliver regulated AI
You own the client and the consulting. We are the execution depth beneath it.
Your clients want agents in production in the workflows examiners watch most closely – AML and KYC adjudication, pharmacovigilance case processing. The blocker is rarely the model. It is proving what the AI knew, why it decided, and that it stayed within policy, on data that cannot leave the perimeter.
Bring us in as the depth beneath your engagement. AYITA governs the agents and traces every decision. PAMOLA turns sensitive data into AI-ready, utility-validated data with the evidence to support its release. You run the program. We make it defensible.
Built for services-led delivery. Realm is a small software footprint that opens a large engagement – the program, the integration, and the ongoing evidence and monitoring are yours. We sell the depth; you deliver the work around it.
Two other ways to work with us
Embed Realm in your platform
Platform, cloud, and data vendors embed PAMOLA and AYITA as the in-perimeter privacy and governance layer inside their own products. You close the compliance objections that stall enterprise adoption – without building governance infrastructure yourself.
Explore embedding →Shape it on your workflow
Regulated enterprises partner with us on one real workflow, inside the perimeter, and get an early, reference-grade deployment with the Evidence Pack as the deliverable. Design-partner work is hands-on, so we take it on a few engagements at a time.
Become a design partner →Proof, not promises.
Don't take our word for it. Inspect it.
We do original research.
Our CTO published the CVPL framework, showing that data which passes compliance checks can still be re-identified. It now powers PAMOLA's risk scoring. Original work, not slideware.
Read the paper →Our engine is open.
PAMOLA's privacy engine is open source. Read the code that produces the evidence.
View on GitHub →Independent researchers back the method.
The 2025 DCR Delusion study showed that similarity scores can give a false sense of privacy and understate real re-identification risk. That is why we run the attacks, not just the metrics.
See the research →Every engagement ends in an Evidence Pack.
A complete, defensible record of what was done, why it held, and how to stand behind it to a regulator.
See a sample →Built so you can put your name on it.
Bringing in a new partner is a risk to your client relationship. Here is how we contain it.
The window is open. Briefly.
Financial services
US model-risk rules were overhauled in 2026, and the new guidance leaves generative and agentic AI outside its scope. For now, banks must put AI into production with no defined standard to govern it – while examiners still expect an audit trail. We give your client the trail the new guidance does not yet define.
Life sciences
AI is entering safety-case processing and signal detection faster than the evidence practices around it. Regulators look for validation and drift evidence, and the QPPV carries personal, named accountability for the safety system. We give your client a Part 11–aligned record of every agent and human action, bound to the validation evidence regulators look for.
Both windows are open now. The firms that move first own the reference cases.
Start with one workflow.
You do not have to commit a client relationship up front. Bring us into a single real workflow for a short Evidence Sprint. We produce the governed trace and the Evidence Pack on your client's actual problem. You keep the artifact – and you will know exactly what we are worth before anything bigger.
Bring Realm into a client engagement
Just exploring? Start with an Evidence Sprint instead.
You own the client. We bring the depth. That is the whole deal.