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Not-for-profit AI research

AI that shows its evidence.

Scaling Truth Research Foundation is a not-for-profit AI lab. We build models whose outputs can be traced and tested, publish how we evaluate them, and bring the work into use through products. We work in life sciences, media and software.

Research

Four areas, one question

How do you know an AI system's output is right? We study that where being wrong is costly.

All research
A researcher in a lab coat weighing dried turmeric root while a colleague pipettes behind her
Active

Life sciences

A foundation model for life sciences, starting with Ayurveda and medicinal plants.

Two researchers at dusk reviewing a monitor of consecutive video frames
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Realtime video

Video generation that keeps up with the display.

Active

Media intelligence

Tracking what the press says, with every claim tied to its source.

Active

Software from intent

Turning a plain description into working software, and testing that it works.

Models

The truth model family

Each model ships with a card that says what it does today, what it was tested on and where it fails.

All models
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Herb–Drug Interactions

truth-hdi

Ranks a patient's drugs by exposure to interference from a medicinal plant, and names the mechanism.

Planned

Life Sciences

truth-ls

A domain-adapted model for life-sciences research, grounded in a knowledge graph.

Active

Realtime Video

truth-rtv

A video generation model that produces frames as fast as they are shown.

From research to use

Products built on our research

OneThought AI builds products on the foundation's research. Revenue and real-world feedback support the research programme.

All products

Media Studio

Generate and edit video, images, voice and music from prompts.

Media Monitor

Brand and topic monitoring across the Indian press, with tone and sources.

Viber

Describe an app in plain language and get working software.

Built by OneThought AI on research from Scaling Truth Research Foundation.

How we work

Evidence before claims

Evidence first

Every output should be traceable to a source, and every published number to an evaluation.

Evaluations in the open

Protocols are published. Results are labelled internal until someone outside the lab has reproduced them.

Long-term stewardship

A not-for-profit holds the mission. Products fund the research and bring it into use; they do not set its direction.

Public benefit

What the public gets

Published

Papers, benchmarks and evaluation methods, free to use.

Shared

Free access to our tools for researchers, journalists, non-profits, schools and public-health bodies.

Safeguarded

We name the work we decline, and log every incident.

Work with us

Institutions, labs, companies and funders each have a way in.

Get updates

One email when something is published. No newsletter cadence, no tracking.