KNOWW

Workbench / Company

The lab behind the Workbench and LTFM

Updated

How we found it

Every answer led to a deeper question.

The company is the last step in this chain.

  1. 01

    We asked why no model reads a business the way an analyst does: natively, from its tables.

  2. 02

    LLMs don't truly understand time or tables.

  3. 03

    That insight opened the door to causal foundation models.

  4. 04

    We found that SAP had just acquired Prior Labs.

  5. 05 · Now

    We run today's tabular foundation models on real tables through the Workbench, and build the one that reads a history.

That last step is the whole company.

Team

Credit risk, financial products and longitudinal ML.

Before writing a line of LTFM, we read and connected the 25 papers it stands on.

Vikas Singh

Founder & CEO

8 years in blockchain and finance.

Mayank Tondak

Credit risk

Built credit-risk models at EXL.

Ravi Kumar Singh

Longitudinal ML

Built a longitudinal ML model for education.

25papers read & connected
6seeded runs on public and generated tables
3preregistered experiments in progress
Roadmap · 24 months

Workbench now. LTFM core next. Every industry after.

The core has one target before it scales: beat gradient-boosted models on real tables, measured the way the Workbench measures everything.

| = open-research intake every 8 weeks

Help us build LTFM.

Teams that predict

A free month on the Workbench, then a pilot in shadow mode next to what you use today, in any industry.

Request your free month
Researchers

Work on tabular and longitudinal foundation models. Intake opens every 8 weeks.

Everyone else
hello@knoww.ai

Request your free month

What do you want to predict?

Five runs, 50,000 rows each, free for a month. Tell us the question and what you use today. We review every request by hand and email you when your workspace is ready. If you already know you want a pilot next to your current model, say so below.

hello@knoww.ai
Request your free month
We send a confirmation link here.
The question you'd like answered ahead of time.
It goes on the leaderboard next to the foundation models.

We review every request by hand and email you when your workspace is ready. Please don't include sensitive data.