adaption

Introducing Invent a Dataset. Most dataset pipelines start with existing data and work backward. You find what's available, then spend weeks labeling and reshaping it into something usable. The final result is a compromise. With Invent a Dataset, you describe the dataset you need and the system builds it. It delivers structured and training-ready data, without requiring existing data or upfront schema design. Dataset creation used to start with collection. Now it starts with specification.

Introducing Visualize, the first release in Adaption's Adaptive Interfaces. Ask Visualize anything about your data and explore the answers through interactive charts. Discover patterns, dig into the examples behind them, and follow your curiosity to new questions. Most tools stop at the chart. Go from understanding your data to shaping your intelligence. Visualize takes every insight into Adaption’s full AI system, so you can train a model that’s yours. See it. Shape it. Own it. Custom intelligence, by design.

A model trained on generic data makes generic decisions. Adaptive Data and AutoScientist help train a model that’s yours. Turn company data into training-ready inputs. Then auto-train the model. Your model. Not the average.

Fewer than 1,000 people in the world know how to build frontier AI systems. The scarcity limits who gets to own AI. Until now. AutoScientist runs the full training process. Set your objective, it handles the rest. Ownership. No longer reserved for the few.

AutoScientist accelerates and derisks frontier model training. Set the objective. It does the rest. Now you can see the results: the AutoScientist Leaderboard ranks the best customized models built by developers worldwide. 44+ domains. Your frontier. Not theirs.

Southeast Asia is home to 700 million people and over a thousand languages. Most frontier models were trained on English-first data. We’ve been working with AI Singapore to close that gap for their SEA-LION models. More data, more language coverage, better quality. Proud of what this team and AI Singapore's team built together.