Deploy enterprise AI agents in your VPC, on-prem, or air-gapped with RL-trained accuracy.
Best for: Finance teams running due diligence and risk scoring with 87.7% accuracy, Healthcare organizations needing on-prem or on-device clinical drafting
Open-source CLI that turns SKILL.md prose into verifiable contracts, preventing instruction drift and security flaws in agent skills.
Best for: Security-conscious agent developers who need to vet skills before installation, Platform teams managing large skill catalogs and needing least-privilege enforcement
Inherently interpretable AI models for auditing and steering outputs
Best for: AI safety researchers needing model transparency for alignment studies, Regulatory compliance officers auditing AI decisions in high-stakes domains
Runtime enforcement platform that verifies AI agent evidence before actions execute.
Best for: AI agent builders needing to prevent actions based on wrong evidence, Enterprise applications teams integrating with CRMs, ERPs, and billing systems
Runtime authority for autonomous agents: stop runaway spend and risky actions before they execute.
Best for: Engineering teams deploying autonomous agents in production who need hard cost and action guardrails, SaaS platforms requiring per-tenant spend isolation so one customer's runaway doesn't block others
AI governance that blocks risky prompts before they reach ChatGPT, Claude, or Harvey
Best for: Large law firms managing AI use across multiple vendors and client matters, Regulated enterprises deploying autonomous agents that must respect ethical walls
Authorization layer for AI agents that secures API access with OAuth, policies, and audit.
Best for: Developers building multi-agent production systems that need secure API access, Teams that need full audit trails tracing AI actions back to specific humans
Self-hosted AI governance gateway with cryptographic, verifiable evidence for every LLM call.
Best for: Enterprise compliance teams needing tamper-proof audit trails for AI use, Security teams in regulated industries (finance, healthcare, government)
Full-stack infrastructure for deploying, monitoring, and scaling autonomous AI agents in production.
Best for: AI engineering teams building production-grade autonomous agents, Enterprises deploying agentic workflows in finance, healthcare, and logistics
Endpoint security platform that discovers shadow AI agents and MCP servers and blocks dangerous agent actions at runtime.
Best for: Security teams needing visibility into shadow AI across employee endpoints, Enterprises running many MCP servers and agent deployments without a central inventory
Agent wallet that enforces rules and limits on AI spending — safe payments for AI agents.
Best for: Busy professionals automating daily errands like coffee orders and grocery delivery, AI power users who delegate purchasing to assistants like Claude or ChatGPT