LTFM / Company

Company

How we found it

Every answer led to a deeper question.

The company is the last step in this chain.

01
We predicted imported macro events in one month. 17 of 22 were right.
02
We asked: why can't a model do this natively?
03
LLMs don't truly understand time or tables.
04
That insight opened the door to causal foundation models.
05
We found that SAP had just acquired Prior Labs.
06 · Now
We begin the work: one model that learns to learn and understands tables natively.

That last step is the whole company.

Team

40+ years building financial products and risk models.

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

40+years combined in financial products & risk models

17/22macro calls right in experiment one

Roadmap · 24 months

Hire in 4 weeks. Prove in 16. Scale in 24 months.

A go/no-go gate at week 8: LTFM has to beat gradient-boosted models before we scale.

04812162024 MO

Hiring · 4 wks

resource the team

Feasibility · 16 wks

← go / no-go at week 8: beat GBMs

LTFM v1 · LSM + Intel.LTFM's internal state

→ grows into full LTFM

Pilotsshadow mode → live

LTFM v2 · full platformsame core, every industry

Open researchintake every 8 weeks

| = open-research intake every 8 weeks

Help us build LTFM.

Teams that predict

Pilot LTFM in shadow mode next to what you use today, in any industry.

Request a pilot

Researchers

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

Everyone else

contact@knoww.app

Request a pilot

What do you want to predict?

Every pilot starts in shadow mode. LTFM predicts on your cases next to what you use today and changes no decisions. Tell us what you want to predict and we'll reply with a pilot plan.

contact@knoww.app