AI Transformation
The model is the easy part.
The people around it are the work. We embed with your team and build AI into real work, alongside your experts.
What we believe
The gain gets lost in the org, not the model.
Same models, very different results. What counts is what your team produces, not tokens used.
Work slows where it crosses teams.
If every change needs three sign-offs from other teams, faster agents change nothing.
Your experts are the system.
AI that skips their judgment wears it down. Their standards become the agent's checks, and they make the call.
Training happens on the real work.
A workshop afterwards doesn't stick. The goal is a team that runs it without us.
Our approach starts with people.
We embed with your team, on site or remote, and start with one workflow.
- 1
Start with the people closest to the work.
Your experts walk us through how they make the call.
- 2
Define what good looks like.
Their judgment becomes the checks every change has to pass.
- 3
Build and deploy.
Agents and voice agents, built on frontier models and your tools, running in your team's workflow.
- 4
Train and improve.
We train each team that touches the work. Their corrections go straight back into the agent.
Rolled out AI, and nothing got faster?
Who's behind Santori
Yuting Duan
Rose from graduate hire to staff engineer and manager at Google. At Scale AI, grew the team more than 3x and built the unit that became its Generative AI Data business.
Albert Sheu
Early engineer at Facebook and Twitter, second at Quora, where his framework sped the site up to 10x. Head of Engineering at Patreon, then built expert-feedback tooling for LLMs.
Where we've built
- Scale AI
- Quora
- Patreon
We build and run our own agents.
Tempo. Keeps work moving across a team. We use it every day.
Bring one workflow.
On a call, we'll tell you whether an agent can help.
Book a call