Cyberian Systems builds verified AI inference infrastructure. When compute providers execute AI workloads through our platform, we independently verify the results and issue cryptographic receipts proving correctness. Customers get provable guarantees that their AI agent computed correctly.
Indeed, enterprises send millions of requests to AI compute providers every day and receive results, but zero proof those results are correct. No one can verify which model actually ran. No one can prove outputs weren't silently degraded. When regulators ask for an audit trail, the answer is silence.
Cyberian Systems is building the trust layer for AI.
Compute providers execute your AI workloads through our marketplace. An independent verification engine — architecturally separate from every executor — re-checks a sample of results and produces a cryptographic receipt proving correctness. Payment is held in escrow and released only upon successful verification.
For teams that need both compute and verification.
Already running AI on your own infrastructure? Keep it. Submit your inputs and outputs to our API. Our verification engine independently confirms correctness and issues the same cryptographic receipts — no migration, no infrastructure changes.
For enterprises that need verification without switching providers.
The entity computing your results is never the entity verifying them. This is the same separation of concerns as in financial auditing.
Send your inference job — or your existing results for verification — through our API.
Independent compute providers process your workload according to a Canonical Execution Specification that pins every variable: model identity, runtime version, numerical precision, and acceptance criteria.
A separate verification engine, running on independent infrastructure with no shared state, re-executes a sample of the work and compares cryptographic commitments.
You receive a Merkle receipt — three cryptographic roots binding your inputs, outputs, and verification proofs into a single tamper-evident artifact. Independently verifiable by any third party.
Cyberian Systems' AI inference verification architecture is protected by a pending United States patent application.
Philippe founded and architects Cyberian Systems. A McGill graduate with more than 20 years in the software industry across California, Europe, and Canada. Currently pursuing a part-time Master of Engineering in Information Systems Security, with a focus on machine learning, cryptography and zero-knowledge proofs.
We're onboarding early customers for verified embedding generation.
If you run batch AI inference at scale, or if your regulators are asking questions you can't answer yet, we should talk.