AIF wraps cryptographic governance around every AI action your business takes: signed, tamper-evident, on your own servers, with the AI tools you already use. Aligned with the record-keeping the EU AI Act expects from December 2027, and with the tamper-evident logging the EU's Digital Operational Resilience Act (DORA) already requires of financial firms today.
Every company in this market faces the same three exposures. Most don't know they're exposed yet.
A regulator, a board member, or a customer disputes an AI-generated decision. You need to produce the exact record of what the AI was asked, what it answered, and which model was used. Chat logs can be edited. Screenshots can be fabricated. There is no cryptographic proof — yet.
Article 12 of the EU AI Act requires detailed, auditable record-keeping for high-risk AI in aviation, financial services, healthcare, legal, employment, and critical infrastructure, from December 2027. For financial firms, the EU's Digital Operational Resilience Act (DORA) already requires tamper-evident logging today. Non-compliance with the AI Act carries fines of up to 3% of global annual turnover. Most organisations have no infrastructure for either.
OpenAI, Anthropic, Google — every AI platform holds the record of what your AI did on their servers, under their terms. If a regulator asks, you're asking a third party for your own evidence. Sovereign jurisdictions and regulated industries can't operate this way.
The EU AI Act's high-risk Article 12 record-keeping becomes mandatory. For financial firms, DORA's tamper-evident logging already is.
AIF is not another artificial intelligence. It is the accountability infrastructure that wraps around whatever AI you already use — Claude, ChatGPT, Mistral, Gemini, or a locally-hosted model. Every action your agents take is recorded, cryptographically signed, and linked into a tamper-evident chain. Your existing agents don't change. The audit trail is yours. When the regulator asks, you can answer with proof, not screenshots.
Every outcome below is backed by running code that 1,341 automated tests verify on every change. Nothing on this page is a "coming soon."
Built using the same public-standard cryptography governments and financial institutions already rely on. Edit one byte in the audit history and the chain breaks visibly. Any auditor can verify the entire record using only your published public key.
Whether you've built on LangChain, CrewAI, AutoGen, or custom code, one URL change brings every call under governance. No rewrite. No migration. No new SDK to learn.
On your infrastructure. In Europe. Your data, your signing keys, your audit trail. Never SaaS-only.
Works with Claude, GPT, Mistral, Gemini, and locally-hosted models. Switch providers without re-papering.
Azure AD, Okta, Keycloak — we read the identity your corporate login already issues. No new directory.
A regulator asks "show me all decisions involving customer data in Q3." The system answers with the actual events — wrapped as a W3C Verifiable Credential. Independently verifiable by any standards-compliant verifier. Your compliance team's job becomes review, not investigation.
Every product claim in this market is a regulatory exposure for the customer. The boundary below is part of why this product is trustworthy.
AIF ships the record-keeping mechanics the EU AI Act expects. Certification is your auditor's job — we make their review straightforward.
We make AI decisions accountable. If a model hallucinates, AIF will sign the hallucination into the chain — and the regulator will see it. The proof is the value.
We do not compete with LangChain, CrewAI, or AutoGen. We govern whatever you've already built on top of them.
The full claims register — every "live" claim, every "in development" claim, every "out of scope" — is published at aif.predictai.ai/claims/.
Three flat tiers. Unlimited proxy calls. No per-call metering. The enterprise tier costs about 2.5% of your Article 12 fine exposure.
It is the only line item on your board's risk register that shrinks the rest of the register.
Implementation is scoped together — typically an afternoon for the runtime, a week to wire your existing agents in. Managed operations available from €8,500/month for customers who'd rather we run it. See exactly what your tier and exposure look like.
For financial firms, DORA already requires tamper-evident logging today. And governance tooling takes about a year to procure, integrate, and prove out, so waiting for the December 2027 high-risk deadline means starting the engineering too late.
Built by engineers who have shipped production-grade systems for regulated industries — aviation, financial services, healthcare, and the public sector.
Six of the founder's years were inside Boeing — among the earliest and largest enterprise AI adopters in the United States, where production machine learning has run under aerospace-grade audit, traceability, and certification standards for over a decade. AIF takes that operational discipline — the assumption that every AI decision must be reproducible, signed, and defensible under regulatory scrutiny — and turns it into infrastructure any company can deploy.
We chose self-hosted, EU-built, and audit-first before the EU AI Act was published, because that is the architecture this market always needed. The regulatory tailwind is a coincidence of timing, not a business model.
The product is proprietary. The cryptography is public-standard. The promises are enumerated honestly. Run the four probes against the live demo and verify everything we claim, from your laptop, in five minutes.
A short conversation with your CISO, CFO, or General Counsel — the person who owns AI regulatory risk. We'll scope the deployment, map your agents, and tell you honestly whether AIF fits your situation. If it doesn't, we'll say so.