Self-Healing Agents
Observability ≠ Optimization
Every tool shows you what broke. Risicare diagnoses why, tests a fix, and deploys it — automatically.
Works with everything you already use
of AI pilots fail to ship to production
MIT / RAND
of companies abandoned AI projects in 2024
S&P Global
lost to hallucinations last year
McKinsey 2024
Current tools tell you something failed. None tell you why — or fix it.
Risicare doesn't just observe — it diagnoses, tests, fixes, deploys, and learns. No other platform completes the loop.
OVERVIEW
OBSERVABILITY
INTELLIGENCE
DATA
CONFIGURATION
0
0
0
0
Trace Volume
Error Rate & Self-Healing
Traces
1.2K
Latency
120ms
Cost
$18.40
Traces
847
Latency
340ms
Cost
$12.30
Every competitor stops at observation. We go all the way to automatic recovery.
PEP 567 contextvars + W3C Trace Context. Survives asyncio, threads, and multi-process.
3-tier hierarchy: Module → Category → Code. Each with a distinct remediation path.
One decorator wraps any framework. 6-tier depth from base instrumentation to orchestration.
Head-to-head comparison
| Langfuse | LangSmith | Braintrust | Raindrop | Risicare | |
|---|---|---|---|---|---|
| Trace Capture | |||||
| Agent-Specific Tracing | |||||
| Decision-Level Reasoning | Only | ||||
| Root Cause Isolation | Only | ||||
| Hypothesis Testing | Only | ||||
| Auto Fix Generation | Only | ||||
| Statistical A/B Deploy | |||||
| Cross-Customer Learning | Only |
Start with zero config. Add depth when you need it — each tier unlocks richer data in your dashboard.
# Zero code changes — just set env varsexport RISICARE_API_KEY=rsk-your-keyexport RISICARE_TRACING=truepython agent.py# All LLM calls traced automatically
All providers auto-instrumented at Tier 0
Four layers of engineering, working in concert. Every trace flows through ingestion, storage, intelligence, and deployment — automatically.
Self-healing for AI agents isn't science fiction. It's published science — and we're the first to productize it.
Microsoft Research
"Recovers 18-28% of previously failed agent trials automatically"
Read paperStanford / UIUC
"24% higher accuracy through systematic failure recovery"
Read paperNeurIPS 2025
"14 unique failure modes identified across 1,600+ real-world traces"
Read paperRisicare implements and extends these research findings into production-grade infrastructure.
Start free. Scale as your agents grow.
For exploring and prototyping.
Pricing finalized at launch
For teams shipping agents to production.
Pricing finalized at launch
For regulated industries and scale.
Pricing finalized at launch
Questions?
The first platform that makes AI agents reliable in production.