Paradigma
A solitary figure sits on a long concrete beam, casting a monumental diagonal shadow across a pale field.

PARADIGMA

We are building the infrastructure for autonomous research.

Discovery Wells
Thesis
Today, R&D is largely a craft. We think it can become an industry, closer to the extraction of a natural resource.
Objective
Rethink the entire AI stack to maximize discoveries per watt.

Discovery Wells

We run autonomous R&D for companies.

Our Discovery Wells record their research in Flywheel as an explicit graph of hypotheses and experiments. People and agents can check each step and build on it, instead of reconstructing the work from a paper.
What it is
A Discovery Well is a team of AI agents working on one of your problems, privately and continuously.
How it works
It proposes ideas, runs the experiments, and checks the results. Your scientists direct it.
The record
Most R&D is scattered across notebooks, reports, and people's heads. Here it is one graph, which you keep and build on.

The stack

We optimize the whole AI stack to get more discoveries per watt.

Pointing off-the-shelf AI at a research problem tends to plateau. We optimize every layer of the stack, from agent tooling to model training, so that we can maximize discoveries per unit of energy.
The limit
On off-the-shelf models and tools, autonomous research improves quickly and then levels off.
The stack
We optimize every layer for research: the agents, the models, how they are trained, and how they are run.
Training
Limite 1B - Violetto, our first model, has one billion parameters and reaches 94.01% on AIME 2026, rivalling models tens of times its size.

Results

We run these systems on our own research first.

Contact

Tell us which problem you want a Discovery Well working on.

founders@paradigma.inc