The LLM Data Company develops specialized tooling for machine learning models and intelligent agents. Their core product is doteval, an AI-assisted workspace that streamlines the process of creating and managing evaluation workflows for large language models (LLMs).
What is doteval and what does it do?
doteval is designed as a collaborative platform for both technical and non-technical team members. It enables users to:
- Create high-signal evaluations (evals) for LLMs
- Align and calibrate LLM judges
- Define reward functions for reinforcement learning (RL)
- Manage all aspects of model assessment and agent alignment in a single workspace
This approach helps organizations systematically test, refine, and align language models and agent behaviors at scale.
Who uses The LLM Data Company’s products?
While specific customer names are not publicly listed, The LLM Data Company’s solutions are likely targeted at:
- AI research teams
- Machine learning engineers
- Product managers working on LLM or agent-based applications
- Organizations seeking to improve the evaluation and reliability of their AI systems
The platform is built to support collaboration between technical experts and non-technical stakeholders, reflecting its broad applicability in the AI development lifecycle.
How was The LLM Data Company started?
Details about the founding team have not been publicly disclosed. The company operates from San Francisco, California, and maintains a small, focused team, with an employee count of 3.
What makes The LLM Data Company unique?
The LLM Data Company sets itself apart by offering an integrated workspace that addresses multiple key challenges in LLM and agent evaluation:
- Bridging technical and non-technical workflows
- Enabling more signal-rich, actionable evals
- Providing tools for judge alignment and reward setting in RL contexts
This makes it easier for organizations to build more robust, trustworthy, and responsive AI systems.
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