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Reviewed by Shawn H. — Founder, AITrustList

Last verified MethodologyAI tools are ranked by traffic signals, not paid placement.

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micro1

Expert human data infras to train and evaluate AI models

Model Training
Contact for PricingVerified Aug 12, 2026

micro1 is a data lab providing expert human data, RL environments, and contextual evaluations to train frontier models and improve agentic AI systems.

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Pros & cons

Independently written by the AITrustList editorial team.

Pros

  • Three integrated platforms (Realm, Cortex, Robotics) covering training, evaluation, and embodied AI
  • Published public benchmarks benchmarking frontier models like Claude, Kimi, and Meta Muse Spark
  • Dedicated data partnership and government programs for large-scale collaborations
  • Expert opportunities portal enables contribution from domain specialists
  • Headquartered in San Francisco with established enterprise positioning
  • Research lab actively publishes reasoning evaluations across multiple verticals

Cons

  • Public pricing or self-serve plan tiers are not listed on the site
  • Primary onboarding requires submitting a contact form rather than instant signup
  • Expert application flow is separate from the client pipeline, which may slow onboarding
  • No consumer-facing product; service is aimed at AI labs and enterprise teams
  • Limited transparency on dataset specifics or RL environment configurations

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micro1 Pricing

Pricing and commercial details available on the current listing.

Pricing model
Contact for Pricing

About micro1

What it is, how to use it, and the full listing description.

What is micro1?

micro1 is a data lab that supplies expert human data, reinforcement learning environments, and contextual evaluations to train frontier AI models and improve agentic systems.

How to use micro1?

Companies and AI labs can visit micro1.ai, complete the contact form describing their project requirements, and engage through Data Partnerships or Government programs. Domain experts can apply to contribute via the opportunities page, while researchers can explore published benchmarks on the Research hub.

Core features of micro1

  • Realm RL environments that simulate real-world scenarios for agentic training
  • Cortex contextual evaluation platform for improving AI agents in production
  • Robotics data pipelines providing expert-demonstrated training data for embodied systems
  • Published frontier-model benchmarks across legal, pathology, and financial reasoning
  • Data partnerships program for AI labs and government organizations
  • Expert recruitment and referral pipeline for domain specialists

Target audience of micro1

AI DevelopersEnterprisesData ScientistsResearchersStartups

Use cases of micro1

  • #1Generating expert human data to train frontier LLMs and agentic models
  • #2Running reinforcement learning environments for agent reasoning
  • #3Benchmarking and evaluating frontier models on legal, medical, and financial tasks
  • #4Improving production AI agent performance through contextual evaluations
  • #5Collecting expert-demonstrated robotics data for embodied AI systems

micro1 is a data research company building the infrastructure for advancing AI through expert human data, real-world training environments, and contextual evaluations. Its Intelligence suite is organized into three core platforms:

  • Realm: RL environments that mirror real-world scenarios to generate world-class human data for agentic actions and elevate model reasoning.

  • Cortex: A contextual evaluation platform for improving AI agent performance in production.

  • Robotics: High-fidelity real-world robotics data to train the next generation of embodied systems.

micro1 publishes benchmarks in its research lab, including the Realm Legal reasoning benchmark, the Realm Pathology-report reasoning benchmark, and the Realm Financial reasoning benchmark, which score frontier models such as Claude Opus 5, Claude Sonnet 5, Kimi K3, and Meta Muse Spark 1.1.

The company serves AI labs, enterprises, and government partners through dedicated data partnership programs, while also recruiting domain experts via an opportunities portal and referral program. micro1 is headquartered in San Francisco.

micro1 Website Traffic Analysis

Traffic and engagement metrics for micro1.ai.

Visit Over Time

micro1 traffic grew by 1081.8% over the last 12 months, reaching 8.9M monthly visits. It is currently tracked in the Model Training category on AITrustList.

Monthly Visits8.9M
Avg. Visit Duration04:52
Page per Visit5.04
Bounce Rate39.23%
Sep 2025 - Aug 2026 All Traffic

Geography

Top 5 Regions

📍United States
18.23%
📍India
14.16%
📍Nigeria
7.85%
📍Brazil
5.87%
📍Pakistan
5.42%
Sep 2025 - Aug 2026 Desktop Only

Traffic Sources

Direct
36.41%
Paid Social
25.06%
Mail
12.15%
Referrals
10.60%
Organic Search
7.06%
Organic Social
5.82%
Display Ads
1.25%
GenAI
0.82%
Paid Search
0.51%
Affiliate
0.32%
Sep 2025 - Aug 2026 Worldwide Desktop Only

AI Referral Traffic

ChatGPT
87.7%
Google Gemini
11.9%
Perplexity AI
0.3%
Sep 2025 - Aug 2026 AI Engine Share Trends

Top Keywords

KeywordTrafficCost Per Click
micro1264.8K$ 2.11
micro 122.6K$ 2.45
micro1 ai19.7K$ 3.20
micro1 login10.6K$ 3.41
micro1 jobs6.6K$ 2.44

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FAQ from micro1

Questions and answers included with this listing.

What does micro1 do?

micro1 is a data lab that builds infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations for frontier AI models.

What platforms does micro1 offer?

micro1 offers Realm (RL environments for AI labs), Cortex (contextual evaluation platform for agentic AI), and Robotics (expert-demonstrated data for embodied systems).

How can a company work with micro1?

Companies can submit the contact form on micro1.ai describing their project requirements, or engage through the Data Partnerships and Government programs.

How can experts contribute to micro1?

Domain experts can apply through the opportunities page, join the community, or participate in the referral program.

Does micro1 publish benchmarks?

Yes, micro1 publishes Realm benchmarks covering legal reasoning, pathology-report reasoning, and financial reasoning, with scores for frontier models.