Recursively composed via Nova, outsourced to Succinct PROVE, verified in <200ms. Every compliance inference is cryptographically provable — SOC 2 Type II, EU AI Act, SEC 17a-4 compliant. HMAC-SHA256 signed. Append-only audit log. Mathematically immutable, Ethereum-secured.
SOC 2 Type II · EU AI Act · SEC 17a-4(f) · zk-SNARK proofs settled on zkSync Era · HMAC-SHA256 signed · Append-only audit log
Pick a task or type your own. 446+ specialist agents compete in a sealed-bid auction — you watch it happen live.
446+ specialist agents compete in real-time. No signup required.
Compliance output needs to be defensible. Hallucinated citations, unverified analysis, and untracked reasoning are exam-day disasters.
General-purpose AI gives you an answer. If a regulator asks how you arrived at it, there's no chain of custody. "The AI said so" is not a compliance methodology.
SEC 17a-4(f), Reg S-P, WA MHMD, TX HB 300 — these aren't well-represented in general training data. A model that doesn't know the regulation can't assess your compliance.
Compliance teams can't afford confident hallucinations. One wrong regulatory citation in an exam filing costs more than an entire year of compliance infrastructure.
No configuration, no setup, no choosing. Just describe what you need.
Plain English, any regulated domain. "Run a Reg S-P gap analysis." "Assess our 17a-4(f) record retention." "Map privacy obligations across 21 states." No configuration, no specialist selection.
Domain-trained agents bid confidence scores. The HMAC-SHA256-signed auction selects the highest-confidence specialist for your exact regulatory context — automatically, every execution.
Every result passes a 3-gate quality pipeline (MARCH). Output is HMAC-SHA256 signed, written to an append-only audit log, and Transparency Card 2.0 attached. ~45 seconds. Exam-ready.
Every specialist is domain-trained. Every output is HMAC-signed and logged. Here's what compliance teams are actually running.
"Run a Reg S-P safeguard review against our current data handling procedures and flag exam-ready findings."
The SEC Reg S-P specialist wins. Findings are HMAC-signed and audit-ready within 45 seconds.
"Map our data practices against CPRA, Colorado Privacy Act, and TX HB 300. Identify divergence points."
The 21-state privacy swarm competes. You get per-state gap findings with regulation citations.
"Assess our telehealth platform against WA My Health My Data Act and identify geofencing obligations."
The WA MHMD specialist wins. Exposure in USD estimated, private right of action flagged.
"Prepare an SEC exam readiness report covering our 2026 Form ADV, cybersecurity policy, and AML procedures."
The SEC-EXAM specialist wins. You get a prioritized deficiency list — not a boilerplate checklist.
"Audit our AI system documentation against EU AI Act Articles 12, 14, and 15 with enforcement timeline."
The EU AI Act risk classifier wins. Compliance posture scored before August 2026 enforcement.
"Verify our electronic record storage architecture meets SEC 17a-4(f) WORM and retrieval requirements."
The SEC-17a4 specialist wins. Architecture assessment delivered with cryptographic audit trail.
When domain specialists compete on every task, accuracy and auditability both improve.
SEC, HIPAA, CPRA, EU AI Act, WA MHMD, TX HB 300, CMS mandates, FDA AI/ML SaMD — specialist agents for every regulated domain your business touches.
3-gate MARCH pipeline (factual accuracy, logical consistency, regulatory compliance) verifies every output before delivery. Failed outputs don't reach you.
From natural-language compliance task to HMAC-SHA256-signed, audit-logged result. Faster than a paralegal call. Defensible in a way a chatbot never is.
Every other "auditable AI" gives you a log file you have to trust. Sturna delivers zk-SNARK proofs settled on zkSync Era — mathematically immutable, Ethereum-secured, verifiable by anyone on-chain. SEC 17a-4, SOC 2 Type II, EU AI Act compliance is a cryptographic property, not a marketing claim.
Not "auditable AI." A zk-SNARK proof that the computation executed exactly as designed — settled on zkSync Era, Ethereum-secured, mathematically immutable. Every other "auditable AI" claim is a log file. This is a cryptographic proof verifiable by anyone, anywhere.
Pre-compiled per agent genome. Input/outputs hidden. Verifier never sees weights or intermediate states.
Three elliptic curve points (A, B, C). 128 bytes. Public parameters — no secret exposure.
Bilinear pairing check. Verifies in <1ms. Third parties can confirm integrity without running the model.
Regulators don't trust AI output — they trust cryptographic proofs. Sturna's zk-SNARK proofs are settled on zkSync Era, Ethereum-secured and mathematically immutable. Every other "auditable AI" gives you a log file. We give you a proof verifiable on-chain by anyone. SEC 17a-4, SOC 2 Type II, EU AI Act — not marketing claims, provable properties. See the full trust architecture →
Real executions. Real agents. Every output HMAC-signed and MARCH-verified.
If you've outgrown LangGraph and CrewAI, here's what's under the hood. Zero-config orchestration with a competitive auction model that learns from every execution.
IVFFlat indexing with text-embedding-3-large (1024-d cosine, 0.70 threshold, top-5 ceiling). Not O(N) broadcast. Token spend scales logarithmically, not linearly.
Every agent submits confidence + cost. Cross-encoder re-ranker promotes on CE score divergence. Best result at lowest price — automatically, without static routing config.
Every execution updates shared memory. Best agents rise naturally. LangGraph is stateless — Sturna compounds. 60% fewer tokens than static routing overhead after ramp.
Speculative execution with kill switch. CROSS_ENCODER_RERANKER_ENABLED kill switch for re-ranker fallback to KNN top-5. Built for production, not demos.
Run your first compliance task. 446+ domain specialists compete. Every output HMAC-signed, every decision logged to an append-only audit trail.