Paradigma
Paradigma is building the infrastructure for autonomous research, transforming R&D from a craft into an industrial process. The company operates "Discovery Wells"—dedicated teams of AI agents that propose, run, and verify experiments for client companies, with every attempt recorded in a persistent research graph. Paradigma also develops its own models, including Limite 1B Violetto, a one-billion-parameter mathematics-focused model achieving 94.01% on AIME 2026.
- Artificial Intelligence
- AI Agents
- Software Only
- Developer Tools
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Most R&D is scattered across notebooks, reports, and people's heads, making it difficult to track progress, avoid repeating failed experiments, and build cumulatively on prior work. Traditional research is treated as a craft rather than an industrial process, limiting the efficiency and scalability of discovery.
Solution
Paradigma is building the infrastructure for autonomous research, aiming to transform R&D from a craft into an industry closer to the extraction of a natural resource. The company runs autonomous R&D for companies through "Discovery Wells," which are teams of AI agents assigned to work on specific problems privately and continuously. These agents propose ideas, run experiments, and verify results, while human scientists direct the work. Every experiment is recorded as an arc in a research graph, creating a permanent, executable record of all attempts—including dead ends—that the company keeps and builds upon. Paradigma optimizes the entire AI stack, from models to infrastructure, to maximize discoveries per watt of energy consumed.
Target Audience
Primary customers are companies with significant R&D operations that need to accelerate scientific discovery and technological innovation, including those in energy, materials, and other research-intensive industries.
Features
- Discovery Wells: dedicated teams of AI agents that autonomously propose, run, and check experiments on a specific problem for a company
- Research graph: a persistent, visual record where each arc represents an experiment, including dead ends, which companies retain and build upon
- Scientist-directed workflow: researchers can point to direct the work or click/tap to open a new line of attack
- Full-stack optimization: the company rethinks the entire AI stack, layer by layer, to increase the number of discoveries per watt of energy
- Limite 1B
- Violetto: a one-billion-parameter model trained from scratch on 237 billion tokens of mathematics-centric data, achieving 94.01% on AIME 2026 and supporting 131k token context lengths