Back to browse
Connect your research data easily to AI agents

Connect your research data easily to AI agents

by hgarud·Mar 9, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainSolve My Problem

Ingestion layer for multi-modal research data when W&B isn't enough for agents.

Strengths
  • Handles unstructured, multi-modal data specifically for agent consumption and planning.
  • Direct W&B integration lowers adoption friction for ML teams.
Weaknesses
  • Enterprise sales cycle for R&D tools is long and hard.
  • Novel algorithms are vague without technical deep dive or paper.
Category
Target Audience

ML researchers, R&D teams

Similar To

Weights & Biases · Arize · LangSmith

Post Description

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 hypotheses and experiments. We are working on SDKs so that you can connect your own agent (clawed or otherwise) to you research data easily.

AI driven scientific research ("agentic research"?) is here and we are building the operating system for it.

Check it out and please let us know what you think. The first 100 users will forever get freebies and priority access to new features. If you are in a research team and are excited about agentic research, we would love to talk to you.

Similar Projects