Probe

The Agent Native Research Stack.

Backed by Y Combinator

[Probe @useprobeai]

Introducing Probe: The Agent-Native Research Stack.

Our goal is simple: help AI/ML teams run better experiments, faster.

Teams run research with agents now, but their work is disordered. They lose hours verifying what their agents actually did, managing environments and compute, and re-explaining company context their agents should already know.

So we rebuilt the research stack from the ground up for agent-driven research.

Probe brings core research tools, shared context from past experiments, and visibility into each run together in one platform.

Teams can spend less time setting up infrastructure, supervising agents, and catching teammates up, and more time testing ideas.

If you’re a research lab, scale your research team without sacrificing speed.

If you’re an AI/ML team, stand up a research capability with the infrastructure of a frontier lab.

See Probe for yourself: https://t.co/FXWNS9wLzU

[Ashwarye Yadav @YadavAshwarye]

@useprobeai Also huge shoutout to @nicholasgerwitz & @avgpearfarmer for creating this insane video and bringing the vision to life! They are absolutely brilliant 🤝🤝

[Probe @useprobeai]

@juliafedorin @nicholasgerwitz Shoutout @nicholasgerwitz & Shawn 🙌 🙌 could not have been done without them.

[Probe @useprobeai]

We’re still iterating daily and gathering customer feedback to give research teams the best infrastructure to speed up their research.

In our initial swarm runs, Probe’s best speedups were up to 46% higher than the vanilla swarm on open-ended ML benchmarks.

Probe gives agent swarms shared context about what’s already been tried, what worked, and what didn’t, so they can build on that knowledge instead of starting from scratch.

Check out our first blog post on why research context matters: https://t.co/C2HAfIzWqX

[Probe @useprobeai]

Introducing Probe: The Agent-Native Research Stack.

Our goal is simple: help AI/ML teams run better experiments, faster.

Teams run research with agents now, but their work is disordered. They lose hours verifying what their agents actually did, managing environments and compute, and re-explaining company context their agents should already know.

So we rebuilt the research stack from the ground up for agent-driven research.

Probe brings core research tools, shared context from past experiments, and visibility into each run together in one platform.

Teams can spend less time setting up infrastructure, supervising agents, and catching teammates up, and more time testing ideas.

If you’re a research lab, scale your research team without sacrificing speed.

If you’re an AI/ML team, stand up a research capability with the infrastructure of a frontier lab.

See Probe for yourself: https://t.co/FXWNS9wLzU

[Probe @useprobeai]

Researchers shouldn’t need a meeting just to understand what happened.

Give your team shared context across experiments. Try Probe today for free: https://t.co/T7fBd83RB7

Want to help your team move faster? Book a call with us: https://t.co/uV1BAuFtb1