Self-Healing Agents

Observability ≠ Optimization

Your agents break.We fix them.

Every tool shows you what broke. Risicare captures the decision behind it and classifies the failure — diagnosis and fix generation land after the beta.

Get Early Access See How It Works →

154

Error Codes

LLM Providers

Works with everything you already use

The Reality

0%of AI agents fail on complex tasks in production.

of AI pilots fail to ship to production

MIT / RAND

of companies abandoned AI projects in 2024

S&P Global

$0B

lost to hallucinations last year

McKinsey 2024

Failure Taxonomy

REASONINGHallucinations, logic errors

TOOLExecution failures, timeouts

MEMORYState corruption, context overflow

ORCHESTRATIONMulti-agent coordination

OUTPUTFormat violations, safety blocks

PERCEPTIONInput parsing failures

10 failure modules · 150+ error codes · 3-tier hierarchy

Current tools tell you something failed. None tell you why — or fix it.

How It Works

Six stages from failure to fix. Two of them run today.

Risicare captures every decision your agent makes and classifies the failures. The rest of the loop — diagnose, test, fix, deploy, learn — is built and lands after the beta.

Deep dive into the pipeline →

The Product

See it in action.

app.risicare.ai

Live

Self-HealingComing soon

risicare

OVERVIEW

Dashboard

OBSERVABILITY

Traces

Sessions

Agents

INTELLIGENCE

Self-Healing

Evaluations

Alerts

DATA

Datasets

CONFIGURATION

Settings

System HealthyComing soon

robust-test

Search traces, agents...

Last 24 hours

Dashboard

System HealthyComing soon

Total Traces

847 sessions · 23 agents

Error Rate

▼ 68%149 errors total

Avg Latency

P50: 84ms · P90: 340ms · P99: 890ms

LLM Cost

1.2M tokens total

Latency

120ms / req

Errors

149errors

classified

pending

01020304050607

TOOL

MEMORY

REASON

OUTPUT

PERCEPT

COORD

COMM

ORCH

CONSNS

RESRC

PENDING

Models

2.1Krequests

gpt-4o780

claude-3.5-sonnet613

gemma-3356

llama-3.3341

mistral-large12

Trace Volume

Error Rate & Self-Healing

Error Rate

Self-HealedComing soon

Recent TracesView all

research-agentt_a8f312 spans340ms2m ago

code-review-agentt_b7e18 spans2 errors1.2s5m ago

deploy-agentt_c3f56 spans890ms8m ago

Top Agents

Orchestrator

orchestrator

Success Rate98.1%

Traces

1.2K

Latency

120ms

Cost

$18.40

Research Agent

agent

Success Rate96.8%

Traces

847

Latency

340ms

Cost

$12.30

The Difference

The only platform that completes the loop.

Every competitor stops at observation. We go all the way to automatic recovery.

Context Propagation

Context That Never Breaks

async task

contextvars

↓ contextvars

thread pool

propagated

↓ propagated

subprocess

trace_id:a1b2c3d4…same

PEP 567 contextvars + W3C Trace Context. Survives asyncio, threads, and multi-process.

Failure Taxonomy

154 Error Codes, Not "Error"

taxonomy

module

REASONING

└ category

HALLUCINATION

└ code

FACTUAL

10modules

31categories

154codes

3-tier hierarchy: Module → Category → Code. Each with a distinct remediation path.

Framework Agnostic

Zero Lock-In

LangChainLangGraphCrewAIAutoGenLlamaIndexPydantic AIDSPyOpenAI AgentsCustom

Single decorator · One import · OpenTelemetry export

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					Coming soon
Hypothesis Testing					Coming soon
Auto Fix Generation					Coming soon
Statistical A/B Deploy					Coming soon

Integration

Zero env vars to full observability.

Start with zero config. Add depth when you need it — each tier unlocks richer data in your dashboard.

agent.py

PythonBash

# env: RISICARE_API_KEY, RISICARE_TRACING=true
import risicare  # the only line you add
 
# ... your agent code, unchanged ...
# All LLM calls traced automatically

Dashboard captures

LLM Call· gpt-4o

1,234 tokens$0.0122.3sok

All providers auto-instrumented at Tier 0

Under The Hood

Built for the complexity of agent systems.

Four layers of engineering, working in concert. Every trace flows through ingestion, storage, intelligence, and deployment — automatically.

<0.3msingestion·3storage engines·150+error codes·<500msrollback

The Science

Built on peer-reviewed research. Not marketing promises.

Self-healing for AI agents isn't science fiction. It's published science — and it is what we are building toward.

Microsoft Research

DoVer: Verification & Recovery

"Recovers 18-28% of previously failed agent trials automatically"

Read paper

Stanford / UIUC

AgentDebug: Iterative Debugging

"24% higher accuracy through systematic failure recovery"

Read paper

NeurIPS 2025

MAST: Multi-Agent Failure Analysis

"14 unique failure modes identified across 1,600+ real-world traces"

Read paper

Risicare implements and extends these research findings into production-grade infrastructure.

Pricing

Simple, usage-based pricing.

Start free. Scale as your agents grow.

Beta — pricing finalized at launch

Starter

For exploring and prototyping.

$0/mo

Pricing finalized at launch

50K decisions/month
7-day retention
3 team members
Tracing + error classification
Community support

Recommended

Pro

For teams shipping agents to production.

$99/mo

Pricing finalized at launch

500K decisions/month
30-day retention
Unlimited team members
Full pipeline + self-healingComing soon
Auto-fix generationComing soon
Email + Slack support

Enterprise

For regulated industries and scale.

Custom

Pricing finalized at launch

Unlimited decisions
90+ day retention
Unlimited team members
Dedicated support + SLA

Questions?

Stop debugging. Start healing.

The first platform that makes AI agents reliable in production.

Get Early Access

No credit card · Free tier · 2-minute setup