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micro1 Tech Stack

AI data platform for training models and evaluating agents

Software Development San Francisco Bay Area, CA 51–200 employees Founded 2022 Privately Held

Micro1 operates a data labeling and AI training platform focused on frontier model development and agent evaluation. The stack reveals heavy investment in LLM orchestration (LangGraph, LangChain, OpenAI, Vertex AI, AWS Bedrock) paired with video annotation infrastructure (CVAT, Labelbox, Encord) and media processing tools (Adobe, DaVinci Resolve), suggesting the core offering sits at the intersection of model training data and multimodal (especially video) evaluation. The hiring surge is concentrated in data (9 roles) and research (9 roles) — a 2:1 ratio that signals rapid scaling of dataset collection and model evaluation capabilities rather than core platform engineering.

Tech Stack 193 technologies

Core StackPython LangChain Vertex AI OpenAI QuickBooks JavaScript Angular Vue React Bootstrap jQuery Adobe Creative Cloud Adobe Premiere Pro After Effects Salesforce HubSpot TypeScript Node.js LangGraph AWS GovCloud GCP AWS Bedrock Google Cloud's Vertex AI CakePHP HTML5 CVAT Labelbox Encord Final Cut Pro DaVinci Resolve+155 more

What micro1 Is Building

Challenges

  • Collecting synchronized sensor video data
  • Ensuring data quality for training robotics
  • Detecting fraud in domestic task recordings
  • Maintaining high quality standards
  • High-quality biological data for ai training
  • Customer complaints resolution
  • Lack of realistic e-commerce simulation data
  • Compliance with government regulations
  • Secure cloud deployment
  • Highly regulated cloud environments

Active Projects

  • Ai training dataset development
  • Train next-generation robotics systems
  • Activity recognition data collection
  • Video quality control audits
  • Advanced ai training initiatives
  • Physical task recording for robotics and ai training
  • Behavioral recognition project
  • Synthetic digital store creation
  • Developing ai models for compliance workflows
  • Enhancing ai legal document understanding

Hiring Activity

Accelerating40 roles · 40 in 30d

Department

Data
9
Research
9
Engineering
5
Ops
4
Support
4
Finance
3
Marketing
3
Design
2

Seniority

Mid
24
Senior
10
Junior
6
Manager
2
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About micro1

Micro1 is a data platform for collecting, annotating, and quality-assuring training datasets for frontier AI models and robotic systems. Founded in 2022 and based in the San Francisco Bay Area, the company operates across three product areas: AI training dataset development (including activity recognition and behavioral recognition), robotics-focused data collection (synchronized sensor video, physical task recording), and compliance-adjacent AI workflows (legal document understanding, fraud detection in task recordings). The platform addresses the gap between synthetic training data and the high-quality, realistic datasets required to train and evaluate next-generation agents. The company is hiring across the United States, Indonesia, and Uganda.

HeadquartersSan Francisco Bay Area, CA
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States, Indonesia, Uganda

Frequently Asked Questions

What is micro1.ai's tech stack?

Micro1 uses Python, LangGraph, and LangChain for LLM orchestration; OpenAI, Vertex AI, and AWS Bedrock for model access; CVAT, Labelbox, and Encord for video annotation; Adobe Creative Cloud and DaVinci Resolve for media processing; and Salesforce and HubSpot for business operations.

What is micro1 working on?

Active projects include AI training dataset development, robotics systems training, activity and behavioral recognition data collection, video quality audits, synthetic e-commerce simulation, AI compliance workflows, and legal document understanding models.

How this profile is built

micro1's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.