AI Transformation
The model is the easy part.
The people around it are the work. We build the agent inside your team, with the experts who run the work today.
What we believe
The gain gets lost in the org, not the model.
Two teams, same model. One ships more. The other just burns tokens.
Work slows where it crosses teams.
Every change needs three sign-offs? Faster agents won't help.
Your experts are the system.
Skip them, and they stop checking. Their standards become the agent's checks.
Training happens on the real work.
A workshop is forgotten by Friday. We build it with your team until they run it without us.
Our approach starts with people.
We embed with your team, on site or remote, and start with one problem.
- 1
Sit with the experts.
Your experts walk us through how they make the call.
- 2
Turn their calls into checks.
Their judgment becomes the checks every change has to pass.
- 3
Ship it where your team works.
The agent works in Slack, email and text, and joins your calls.
- 4
Hand it over.
We train each team that touches the work. Their fixes go 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, built the unit that became its Generative AI Data business and grew it to 80+ people. Left a director role to build again.
Albert Sheu
Early engineer at Facebook and Twitter. Engineer #2 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 worked
- Scale AI
- Quora
- Patreon
We built these for our own work.
Tempo. Keeps work moving across a team. We use it every day.
You can run them on yours.
Auto QA your products
We test every workflow in the app and through the agent. Both must match before it ships.
Train your team on its own work
We turn your team's own work into short phone courses. You see who finished.
Bring one problem.
Leave with a path to a pilot.
Book a call