Build verifiable systems with provable AI execution
OpenClaw has well-documented security vulnerabilities in its skill ecosystem. Current mitigations fall short. ClawCheck provides cryptographic verification and mathematical guarantees where probabilistic detection cannot.
OpenClaw agents are powerful and autonomous, but the security layer that makes them safe to run at scale is missing. ClawCheck provides architectural enforcement, not just monitoring.
NVIDIA's CES announcement that inference now accounts for 40% of AI revenue, heading to 75-80% by 2030, creates the economic conditions where cryptographic verification of AI compute becomes essential infrastructure.
We make it possible to build agentic apps, LLM pipelines, and robotics workflows with verifiable trust without requiring deep cryptography expertise.
Building on industry-leading infrastructure

Participant in the AWS Activate program and Microsoft for Startups
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Build verifiable AI systems with cryptographic guarantees for safe and reliable artificial intelligence.
Create applications that protect user privacy while maintaining functionality and performance.
Enable verifiable research and reproducible scientific computation with cryptographic proofs.
Three powerful forces are converging to make verifiable AI trust essential
AI systems are rapidly approaching and surpassing human-level performance across domains, creating unprecedented capability and risk.
Governments worldwide are implementing AI governance frameworks, requiring verifiable safety and compliance measures.
High-profile AI failures are costing billions and eroding trust, making reliability a competitive necessity.
These converging forces create an urgent need for verifiable, trustworthy AI systems that can be proven safe and reliable.
The window is closing. Organizations need verifiable AI trust solutions now.