Company

We build the tools we wished we had at 2am.

Sable started on an on-call rotation. Our agents were in production, our customers were confused, and all we had were log lines. So we built the control plane we needed — and now 600+ teams run on it.

The Sable team working late in the office

Our mission

Agents deserve the same rigor as code.

Software got reliable because we built tools to see inside it: debuggers, tracing, tests, CI. AI agents skipped that step. They make decisions, call tools and move money — and most teams can’t say why a given run went the way it did.

We think that’s the biggest thing standing between today’s demos and tomorrow’s infrastructure. Sable exists to close the gap: every run traced, every answer scored, every risky action governed by rules you can read and prove.

2024

Founded in San Francisco

42

People across 9 countries

600+

Teams in production

$31M

Raised from Northbeam & friends

How we work

Principles we actually use.

Show, don’t summarize

Raw traces beat dashboards. We give engineers the evidence, then help them make sense of it.

Fast is a feature

SDK overhead under 15ms. Search under 400ms. If it’s slow, people stop looking.

Earn the data

Customer data is never used for training. Self-hosting is a first-class option, not an upsell.

On-call is a team sport

We dogfood Sable on our own agents and every engineer rotates through support.

Team

The people behind the traces.

Engineers, researchers and designers from teams that have run software at serious scale.

Portrait of Sam Adeyemi

Sam Adeyemi

Co-founder & CEO

Previously Stripe

Portrait of Iris Chen

Iris Chen

Co-founder & Research Lead

Previously DeepMind

Portrait of Jonah Weller

Jonah Weller

Founding Engineer

Previously Datadog

Portrait of Priya Natarajan

Priya Natarajan

Head of Product

Previously Linear

Portrait of Lena Vogt

Lena Vogt

Staff Engineer, Ingest

Previously ClickHouse

Portrait of Marcus Hale

Marcus Hale

Design Lead

Previously Vercel

Portrait of Ana Ruiz

Ana Ruiz

Research Engineer

Previously Anthropic

Portrait of Yusuf Kaya

Yusuf Kaya

Solutions Engineer

Previously Retool

We’re hiring engineers who like hard problems.

Remote-friendly across US and EU time zones. Competitive salary, meaningful equity, and a rotation on the most interesting on-call in AI.

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