The diagnosis & self-heal system for RAG Agents

Built for trace-level supervision of your agents at scale.

Try Self-heal via MCP →
Veralith project overview — RAG health, latency, knowledge-gap topics
Veralith analytics — trace volume, failure-cell distribution, hallucination trend
Any model · any framework · any agent
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Why it matters

Built today for the reality of AI era coming tomorrow — where agents answer at a scale no human can review, and every hallucination ships silently.

FIG 0.1

Decompose every trace

Each query splits into atomic sub-questions and each answer into atomic claims — layer by layer.

FIG 0.2

Six failure cells

Completeness × Faithfulness sorts every trace into one named, colour-coded cell.

FIG 0.3

The heal loop closes

Recurring failures cycle into heal cards, into your agent's PR, back to healthy — and around again.

From a silent failure to a merged fix

Four steps close the loop — instrument once, and Veralith diagnoses, heals, and monitors every trace your RAG agent serves.

Free while we're in pilot

Veralith is in active pilot — free for early teams while we learn what to charge. You'll get plenty of notice, and a say, before any pricing lands. Every tier includes the full diagnosis engine.

Hobby

Free
For prototypes and side projects finding their footing.
  • 10,000 traces / month
  • Full diagnosis & failure cells
  • Trace explorer & dashboard
  • Community support
Start free
Recommended

Team

Free in pilot
For teams running RAG in production and tuning it weekly.
  • 1,000,000 traces / month
  • Self-heal via MCP + auto PRs
  • Observability dashboards & insights
  • Email & Slack support
Join the pilot →

Enterprise

Custom
For regulated, high-volume, or self-hosted deployments.
  • Unlimited traces
  • In-VPC / on-prem deployment
  • SSO, audit logs, SLAs
  • Dedicated solutions engineer
Talk to us

Stop shipping hallucinations.

Make ’em grounded!