The industrial-grade control plane for multi-agent AI workflows. Enforce real-time guardrails, audit every decision, and deploy with confidence, all in one beautiful command center.
A complete, opinionated stack for enterprise-grade multi-agent operations.
Multi-stage validation: fast regex pre-checks followed by deep cognitive LLM audits for tone, generalizations, and regulatory violations.
Flagged outputs pause instantly in a governance inbox. Operators review, rewrite, approve, or block agent responses before they reach users.
LangSmith-integrated trace explorer. Drill into latency, token consumption, cost attribution, and tool calls across every LangGraph workflow.
Register OpenAI, Anthropic, Azure, Bedrock, Groq, or self-hosted endpoints. Route per agent with fallback logic, rate limiting, and cost caps.
Define YAML-based rule sets. Block competitor mentions, financial advice, PII, and domain-specific violations with full operator audit trails.
Visual multi-agent pipeline builder. Wire agents together, manage state machines, and monitor live execution graphs end-to-end.
Connect OpenAI, Anthropic, Azure, Bedrock, Groq or any custom endpoint with cost caps & rate limits.
Import LangGraph workflows, assign providers, personas, tool access, and governance rule sets.
Configure real-time safety guardrails for compliance, brand safety, PII protection & prompt injection defense.
Every run is traced end-to-end. Flagged outputs land in the governance inbox for human review.
Every agent output passes through a configurable policy stack. Suspicious responses are instantly paused and routed to your inbox, never silently dropped.
Build and deploy sophisticated multi-agent workflows with visual pipeline tooling. Each step is observable, governable, and recoverable with full LangGraph compatibility.
Join security-conscious teams shipping safer, more reliable AI, backed by real-time governance and deep observability.