About Tesora: our mission and the team

Tesora gives actuaries their judgment back.

We take the assembly work off the desk, the data pull, the reconciliation, the reformatting, so the hours that are left are the ones only an actuary can spend.

We are the frontier company putting these models to work on actuarial problems, and we do it to move the field forward rather than to sell software. The goal is an actuary’s day spent on the calls only an actuary can make.

Why we exist

Most AI tools are built to answer a question and move on. A rate filing, a reserve review and a comparative study are none of those: they run for weeks and carry numbers somebody signs their name to. That is what the harness is for.

Who backed this

The people who went first.

Meet our team.

Our philosophy is simple: hire great people and give them the tools to succeed.

There is a lot still to build. See open roles

We are sponsoring the next generation of actuaries

Tesora is an Executive Partner of the Casualty Actuarial Society for the 2026-2027 program year, beginning October 1, 2026. That covers student access to the workbench and the CAS open-source community meetings, which is where the conversations we most want to be in tend to happen.

Nobody has taught a model to take a reviewer’s correction.

A junior actuary learns by having work handed back with the reasoning attached. No model learns that way yet. That is the problem we are hiring against.

The shape of the work

Ask an actuary what they do and you get a pause before the answer. It is not modesty. They are deciding which part to describe, because pricing the book, defending the indication to a rate committee, answering the regulator and closing the quarter are all equally the job.

Why narrow tools let you down

If you automate one step, the other nine are still there, and so is every handoff between them, which is where the mistakes actually happen. So we built something wide instead of narrow, and built it for the person reviewing the work as much as the person doing it. A reviewer’s first question is always where a number came from, and the answer is carried by the number.

What stays human

None of this is meant to replace the actuary. A model only learns work like this if its attempts get graded and handed back the way a reviewer hands them back. So the people doing the grading have to be in the building. That is why our chief product officer is a former chief actuary rather than a software person.

Vivek

Cofounder & CEO

Former PE investor and McKinsey consultant. Has been building side projects with Fed since middle school…

Federico

Cofounder & CTO

Stanford AI researcher. Focused on graph neural nets and relational data at Kumo AI, acquired by Nvidia. Part-time DJ.

Philo

Chief Actuary & CPO

Former chief actuary at W. R. Berkley E&S. Capital modeler at Gen Re; built and sold a brokerage. Recently adopted a rescue husky.

Michael

Head of Sales

25+ years in the actuarial software space, most recently at Akur8 and Milliman. Local tennis tourney champ.

Eric

Founding Engineer

MIT for CS, math, and physics, with 3 actuarial exams passed. Board game hobbyist, with a Maltipoo and Frenchie.