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About

doteval is an AI-assisted evaluation workspace that simplifies the creation of high-signal evaluations, alignment of LLM judges, and definition of rewards for reinforcement learning, all within a single platform. It offers a Cursor-like experience to edit evaluations-as-code against a YAML schema, enabling users to version evaluations across checkpoints, replace manual effort with AI-generated diffs, and compare evaluation runs on tight execution loops to align them with proprietary data. doteval supports the specification of fine-grained rubrics and aligned graders, facilitating rapid iteration and high-quality evaluation datasets. Users can confidently determine model upgrades or prompt improvements and export specifications for reinforcement learning training. It is designed to accelerate the evaluation and reward creation process by 10 to 100 times, making it a valuable tool for frontier AI teams benchmarking complex model tasks.

About

micro1 Intelligence is an AI data research company that develops high-quality human data, evaluation platforms, and training environments to advance frontier AI models and autonomous agents. The company builds infrastructure that combines expert human knowledge with realistic scenarios to improve reasoning, decision-making, and real-world AI performance. Its platform includes Realm for reinforcement learning environments, Cortex for contextual AI agent evaluation, and Robotics for collecting high-fidelity real-world robotics data. micro1 also conducts research into human data markets, AI benchmarking, extraction systems, and model evaluation methodologies. Through expert networks and data partnerships, the company generates specialized datasets that help train and validate advanced AI systems. micro1 Intelligence helps AI organizations build more capable, reliable, and production-ready intelligent systems through expert-driven data and research.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI researchers and engineers in search of a tool to evaluate and fine-tune large language models with precision and efficiency

Audience

micro1 Intelligence is ideal for frontier AI companies, AI research labs, robotics developers, enterprises building AI agents, and organizations seeking expert human data, advanced evaluation platforms, and real-world AI training infrastructure

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

doteval
www.doteval.com

Company Information

micro1
United States
www.micro1.ai/

Alternatives

Selene 1

Selene 1

atla

Alternatives

Flowmingo

Flowmingo

Flowmingo.ai
Mistral Forge

Mistral Forge

Mistral AI
Mistral Forge

Mistral Forge

Mistral AI

Categories

LLM Evaluation Supported

Categories

RLHF Supported

Integrations

YAML Supported

Integrations

YAML Not Supported
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