Show HN: Connect your research data easily to AI agents
TL;DR
AI-driven scientific research is already here. But real research produces terabytes of raw, unstructured and multi-modal data and it is really hard to make it available to AI agents. We built that data layer so you don't have. We built novel ingestion and indexing algorithms that take all that messy and scattered data and make it available for AI agents. This makes it easy for AI agents to analyze past experimental data to plan and execute new research tasks or experiments towards a stated project goal. Our novel indexing algorithms make sure agents are able to explore high quality and diverse potential solutions which no amount of prompt engineering can do. Our platform provides the ability to import projects and experiments from your Weights & Biases account. We also built a team of agents for you so that you can dive right in to start analyzing past experiments and plan next set of hy.
Nauti's Take
Finally someone tackles the unglamorous but critical data plumbing problem in AI research. Raw, messy lab data has been the silent killer of every 'AI scientist' demo.
Whether their indexing algorithms truly outperform smart chunking + embeddings remains to be proven.
Summary
AI-driven scientific research is already here. But real research produces terabytes of raw, unstructured and multi-modal data and it is really hard to make it available to AI agents.
We built that data layer so you don't have. We built novel ingestion and indexing algorithms that take all that messy and scattered data and make it available for AI agents.
This makes it easy for AI agents to analyze past experimental data to plan and execute new research tasks or experiments towards a stated project goal. Our novel indexing algorithms make sure agents are able to explore high quality and diverse potential solutions which no amount of prompt engineering can do.
Our platform provides the ability to import projects and experiments from your Weights & Biases account. We also built a team of agents for you so that you can dive right in to start analyzing past experiments and plan next set of hy
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