Who we are

We built sparr because one number kept hiding the truth.

Before sparr, we were on the other side of this problem. Building the eval stack for a WhatsApp booking agent meant nine prompt versions, more than 150 test scenarios, hundreds of reviewed conversations, and a faithfulness score of 0.78 that never said which conversation broke, or why.

So we built the tool we wanted back then: personas drawn from your real conversations, graded one segment at a time, with the exact chat behind every verdict.

The team

Two founders, one stubborn question: which customers, and why?

Toprak Necat Gök

Co-founder · Infrastructure & data

Toprak Necat Gök

Lived this problem first-hand, building eval for a WhatsApp booking agent. Owns the data pipeline, clustering, and the cloud underneath sparr.

[email protected]

Tunahan Büyükgebiz

Co-founder · Product & design

Tunahan Büyükgebiz

Turns raw conversation data into personas you can read and a report you can act on. Owns the product experience end to end, and builds our iOS apps.

[email protected]

Before sparr, we shipped the 0.78 that lied to us. Read the full story

What we believe

Three rules we won't break.

01

Names, not numbers.

The report says which segments and why, never a single blended score.

02

Your data, your personas.

Personas come from your real conversations, not a generic benchmark.

03

Rehearse, don't gamble.

Test the agent against them before a single customer does.

Get in touch

Talk to a human.

A real reply from a person. Tell us about your agent and the customers you can't yet see.

General

[email protected]

Direct to a founder

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