Why a data lab built hiring technology
Expert-labelled data is only as good as the experts behind it. To produce training and evaluation data for AI models, Saolabs has to find physicians, lawyers, engineers, mathematicians and linguists, test what they actually know, and match them to the right project.
Doing that by hand does not scale, and doing it carelessly puts bad labels into someone else's model. So we built a complete hiring ecosystem: agents that source, screen, interview and match, with people reviewing the decisions that matter.
That system runs our own expert network every day. It is the same technology we now license.
The capabilities
Each capability works on its own, and they are designed to work together. They are parts of one Saolabs system, not separate products.
- Hiring OS: run hiring end to end, with agents at every step.
- Jobs marketplace: match expert talent to AI work.
- AI voice agents: screen and interview candidates around the clock.
- Outreach agents: reach the talent you need on every channel.
- Agent OS: run company operations on agents trained with expert human guidance.
- Licensing: run your own workflows on our agentic systems, at scale.
How the pieces fit
Outreach agents and the jobs marketplace bring candidates in. AI voice agents screen and interview them. Hiring OS holds the process together, from the first message to the final decision.
Agent OS and licensing take the same approach past hiring. If a process can be described, tested and reviewed by people who know the work, it can often be run by agents trained on their guidance.
Who it is for
Companies that hire specialists in volume and find the usual tools too slow or too shallow. Teams that want agents doing structured operational work, with human expertise built into how those agents are trained.
If your problem looks like ours did, finding qualified people and checking their work at scale, the fit is likely close.
How an engagement starts
With a conversation. We ask what you are trying to run, where the process breaks today, and what a good outcome looks like.
From there we scope a pilot on a defined slice of the work, measure it against the outcome you named, and decide together whether to extend it. Pricing and terms are set per engagement.