Human-sourced data for computer-use AI
Sarsa recruits domain experts, records their work inside real software, and amplifies each trusted demonstration into verified training data.
Book a demoHuman-sourced data for computer-use AI.
Collected from experts. Synthetically amplified. Verified by execution.
Human-sourced datafor computer-use AI.
Expert work, recorded faithfully.
We recruit qualified operators and capture their actions, context, and application state inside real software.
Human-sourced. Synthetically amplified.
Proprietary human demonstrations seed new trajectories that complete the same task through meaningfully different strategies.
Verified by execution.
Every generated trajectory runs inside the real application and is checked against the task objective. Failures are discarded.
5 verified · 1 discarded, from one human demonstration
The source
The work agents cannot do is the data they need most.
In the failure region, agents cannot generate their own successful examples. Humans can. Sarsa recruits qualified operators, secures access to specialized software, and captures licensed demonstrations of real work that models cannot bootstrap for themselves.
Human collection is the source of truth. Synthetic amplification makes each hard-won recording economically powerful without pretending the commodity half is the moat.
How it works
Collect
Recruit domain experts, secure software access, and record licensed, high-fidelity demonstrations of real work.
Amplify
Use proprietary human seeds to produce new, valid ways of completing the same task. Different strategies, different states, same intent.
Verify
Execute generated trajectories inside the real software and check them against the task objective. What does not hold up is discarded.
For labs
From scarce expertise to model-ready data.
Custom human collection
We recruit the operators, access the software, and collect licensed demonstrations for your target workflows.
Amplified training corpora
Turn proprietary human seeds into diverse, execution-verified trajectories built to your task distribution.
Failure-region evaluation
Build evaluation sets around the workflows where agents fail and qualified humans can still establish ground truth.
Why human
Models can synthesize more attempts. They cannot synthesize the missing expertise that makes the first successful trajectory possible.
The durable work is operational: contracts, recruiting, software access, licensing, and compliant collection from people who know the domain. We pair that scarce input with amplification and execution verification so human collection compounds instead of scaling linearly.
Start with the work your agents cannot do.
Tell us the software, workflow, and expertise you need captured.
Book a demo