This is a personal invite.

Hi - I'm building SupaEval.

While building enterprise AI agents at Microsoft, I saw a frustrating problem.

When an AI agent fails in production, teams usually only see that the final response is wrong.

But they don't know where the agent actually failed.

Did the agent fail at Intent, Retrieval, Reasoning, Tool Calls, Prompts, Context, or Memory?

“Debugging AI agents today is like debugging a black box.”

I've been working on a way to pinpoint failures and optimize AI agents faster.

AI Agent Flow
Intent
Retrieval
✕
SupaEval finds this
Reasoning
Tool
Response

That's why I'm building SupaEval.

Our mission:

Make every AI agent operate with 90%+ quality

— Imran
Building SupaEval

Now inviting

0 PMF Partners

An elite cohort of AI teams to help shape the next stage of our quality intelligence platform.

Apply Today
Limited availability

Only 7 spots left

You get
6 Months free early access to the platform
You shape
The future roadmap
All We Ask
Candid product feedback
Message from the Founder

Make every work with 0%+ quality.

We’re building SupaEval to help teams ship reliable AI agents, copilots, and RAG systems — with confidence, not guesswork.

Early accessDirect roadmap inputFast founder access

Ideal Cohort

AI Agents
Copilots
RAG Agents
Multi-Agent Apps

If you’re building production-grade AI systems, this partnership is designed for you.

Join the next generation of AI teams building with confidence.

Questions? Reach out at imran@supaeval.com