AI You Can
Mathematically Trust.
The verification layer for AI agents. Every decision proven. Every output verified. Wrap your LLM with cryptographic accountability.
Trusted by teams building mission-critical AI
Built for Production
Enterprise-grade performance with mathematical guarantees.
The Architecture of Trust
Four breakthrough innovations working together to create verifiable AI.
TITANS Memory
Neural memory that learns at test time
Sentinel-V
Adversarial verification cluster
Merkle Audit
Cryptographic proof chains
VEX Debates
Multi-agent truth finding
Neural Context Engine
TITANS memory learns at test time through gradient descent. Unlike static RAG, our neural memory evolves with each inference—retaining 2M+ tokens of context.
Sentinel-V Defense
Adversarial verification cluster. Every action is challenged by red team agents before execution.
Merkle Audit Trails
Cryptographic proof chains. Every decision logged to an immutable Merkle Patricia Trie.
VEX Tribunal
Multi-agent debate system for high-stakes decisions. Blue and Red team agents argue, a Judge decides—ensuring zero hallucinations reach production.
The Tribunal in Session
Watch real-time adversarial verification. Every claim is challenged, every response verified.
Tribunal Session #4921
Built for Zero-Tolerance Environments
When AI mistakes cause lawsuits, PROVN provides mathematical proof of every decision.
Financial Services
Prevent unauthorized transactions and ensure compliance with real-time verification.
Legal & Compliance
Audit every AI decision with cryptographic proofs for regulatory requirements.
Healthcare AI
Verify diagnostic recommendations with multi-agent consensus before delivery.
Three Steps to Verifiable AI
Integrate PROVN in minutes. Works with any LLM provider.
Wrap Your LLM
Add PROVN as a verification layer. We intercept every agent action before execution.
Verify & Debate
Sentinel-V challenges each decision. Multi-agent debates ensure accuracy.
Prove & Audit
Every verified output gets a cryptographic proof. Full audit trail included.
from provn import Sentinel
# Wrap your existing LLM
sentinel = Sentinel(
llm=your_llm,
verification_rounds=3,
confidence_threshold=0.7
)
# Every response is now verified
response = sentinel.query("Transfer $50,000 to account X")
# → Returns: VerifiedResponse(content, proof, audit_log)Why PROVN?
Not another wrapper. A complete verification paradigm.
Without PROVN
- —Hallucinations reach production
- —No audit trail for decisions
- —Single point of failure
- —Hope-based trust model
- —Regulatory non-compliance
With PROVN
- Every output verified before delivery
- Merkle proofs for every decision
- Multi-agent redundancy
- Mathematical trust guarantees
- Full regulatory compliance
Ready to Build Trustworthy AI?
Join the developers creating the next generation of verifiable AI systems. Start free, scale with confidence.