AI Agent Control Plane: Observability & Governance
High-assurance infrastructure for AI agents
Stage
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Founded
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Based in
IN
US
Pricing model
Freemium
Open source
Pricing
Free plan: $0/month with 50K events/month and 7-day retention. Team plan: $299/month with 2M events/month and 90-day retention. Business plan: $799/month with 10M events/month and 1-year retention. Enterprise plan: Custom pricing with volume pricing, custom retention, and unlimited policies.
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Key features
Unified Agent Registry across LangChain, CrewAI, and OpenAI Agents SDK
End-to-End OpenTelemetry-native tracing with full execution visibility
Accurate cost tracking across 2,500+ models independent of trace sampling
PII and sensitive data detection with optional redaction and hard blocks
Prompt registry with versioning, comparison, and production label protection
Datasets, scorers, and experiment framework with evidence-attached promotion
Framework-agnostic design supporting dynamic agent identity and multi-agent systems
Real-time health scores and dashboard for agent performance monitoring
Harpe: chooses what an AI agent reads under a token budget with consistent results
Kibisis: keeps agent memory on your hardware with AES-256-GCM encryption
Argus: append-only record that detects edits with cryptographic verification
No network code by default for local and disconnected use
MIT License with published code, benchmarks and raw results
What makes it different
Only platform that enforces policies mid-execution instead of alerting after the fact
Zero runtime overhead guardrail detection using passive span processor inspection
Accurate cost totals at any sampling rate through OTEL metrics per LLM call
Framework-agnostic and portable through OpenTelemetry-native SDK design
Enterprise-grade security with SOC 2 Type II and RBAC built in
Measured empirical validation across 6,111 questions outperforming full-context models
Zero plaintext on disk with encrypted vaults matching plaintext accuracy
78.3% fewer tokens sent to the model with a 1,200-token budget per turn
Preserves conversational chronology and relational qualifiers under token budgets
Traccia
Perseus Computing