
Life sciences
A foundation model for life sciences, starting with Ayurveda and medicinal plants.
Not-for-profit AI research
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
How do you know an AI system's output is right? We study that where being wrong is costly.

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

Video generation that keeps up with the display.
Tracking what the press says, with every claim tied to its source.
Turning a plain description into working software, and testing that it works.
Models
Each model ships with a card that says what it does today, what it was tested on and where it fails.
truth-hdi
Ranks a patient's drugs by exposure to interference from a medicinal plant, and names the mechanism.
truth-ls
A domain-adapted model for life-sciences research, grounded in a knowledge graph.
truth-rtv
A video generation model that produces frames as fast as they are shown.
From research to use
OneThought AI builds products on the foundation's research. Revenue and real-world feedback support the research programme.
Generate and edit video, images, voice and music from prompts.
Brand and topic monitoring across the Indian press, with tone and sources.
Describe an app in plain language and get working software.
Built by OneThought AI on research from Scaling Truth Research Foundation.
How we work
Every output should be traceable to a source, and every published number to an evaluation.
Protocols are published. Results are labelled internal until someone outside the lab has reproduced them.
A not-for-profit holds the mission. Products fund the research and bring it into use; they do not set its direction.
Public benefit
Papers, benchmarks and evaluation methods, free to use.
Free access to our tools for researchers, journalists, non-profits, schools and public-health bodies.
We name the work we decline, and log every incident.
News
Institutions, labs, companies and funders each have a way in.
One email when something is published. No newsletter cadence, no tracking.