Features
Real-time ontology building from connected tools
Natural language query across GitHub, Jira, Slack, etc.
Impact analysis for code changes with dependency mapping
AI agent integration via Model Context Protocol (MCP)
Bring your own LLM (OpenAI, Anthropic, xAI, Ollama)
Self-hosted and air-gapped deployment
Slack thread summarization and knowledge surfacing
New hire onboarding assistant
Living documentation auto-updated from systems
Ownership lookups across code, infra, and teams
20+ out-of-box evals for RAG, agents, safety, security
Custom evaluators encoding domain expertise
Auto-tune evals from live feedback
Distill evals into Luna models for 96% cost reduction
Luna Studio for trustworthy evaluations at low cost
Eval Engineer integration with Claude and Codex
Insights engine identifying failure modes and prescribing fixes
Capture groundtruth from synthetic, dev, and production data
Subject matter expert annotations
Guardrail policies blocking harmful responses
Eval scores control agent actions, tool access, escalation paths
Low-latency evaluation on L4 GPUs
Ingest models, prompts, functions, context, datasets, traces, MCP server
Pre-production evals become production guardrails without glue code
Trace-based analysis with millions of signals per session
