The performance layer for production AI agents. Quality, speed, cost—getting better every day.
Performance Lift
Variant 3: 82% vs Baseline: 53%
If you can measure it, Converra can optimize for it. Here are the most common failure modes teams bring to us:
The metric that matters: did the user succeed?
Ungrounded claims erode trust and create liability
Performance degrades as models update and usage patterns shift
Token usage spikes without visibility into what's driving it
Response times creep up, hurting user experience
Structured outputs break downstream systems and integrations
Task completion, CSAT, conversion, safety scores, custom evals—bring your metrics, we run the loop.
See all use casesProduction AI agents are improved through manual, ad-hoc workflows—not through a continuous improvement system. Teams rely on copy-pasted transcripts, one-off tests, and dashboards that stop at observation. As traffic grows, models change, and use cases expand, this approach becomes slow, risky, and impossible to govern.
Build-time prompt frameworks help you find better prompts during development. But once your agent is live, you need a different system—one that continuously improves production behavior while preventing regressions.
This isn't a tooling gap—it's a missing layer.
Converra is the performance layer for production AI agents.
Learn from actual user conversations
Tied to your business goals
Test changes without production risk
Deploy safely with instant rollback
Monitoring tells you what happened. Converra makes improvement continuous—and safe.
Your stack has observability. It's missing a performance layer. Converra sits alongside your runtime—improving agents continuously without touching the request path.
Observability tells you what broke. Converra ships the fix—with evidence.
Diagram showing Converra as an optimization control plane alongside the production AI data plane. Prompts and interactions flow from production to Converra, which returns optimized prompt versions for deployment.
Most teams can see what's happening. Few can ship fixes with evidence. Converra closes the loop—turning insights into validated, deployed improvements.
Most tools improve visibility. Converra improves the rate you can safely change production behavior.
Converra handles the optimization loop autonomously. You set goals and approve what ships.
Production interactions flow in via paste, upload, or SDK. Trigger optimization on-demand or automatically with optional objectives.
Review and approve winners (or enable auto-accept). Converra tracks production performance and alerts you if something drifts.
Every optimization goes through validation before anything touches your production prompts.
Manual approval before deploy
Review simulation results and approve winners before they're applied. You stay in control of what ships.
Version history & rollback
Every optimization creates a new version. Roll back to any previous version with one click if something doesn't work.
Statistical confidence scoring
Only variants that show real improvement with statistical confidence are recommended. No more guessing if changes helped.
Full optimization history
See every optimization attempt, what was tested, and how variants performed. Full visibility into what changed and why.
Whether you paste data, use our SDK, or connect via MCP—Converra turns your prompts and production data into actionable insights.
"Why is my support agent failing on refund requests?"
Converra analyzes conversation patterns and surfaces the specific failure modes in your prompt.
"Optimize my onboarding prompt for task completion."
Generates variants, runs simulations against realistic personas, and recommends the winner.
"Show me prompts that are underperforming this week."
Tracks performance over time so you catch regressions before users complain.
Start no-code, then integrate when you're ready.
Node.js SDK
TypeScript, typed APIs
MCP Server
Claude, Cursor, any MCP client
REST / JSON-RPC
Any language, any stack
Limited spots available. Hands-on onboarding, direct access to the team, and early pricing locked in. If you run production AI agents, apply below.
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