The hardest part of scaling enterprise AI is no longer building agents. It's effectively deploying & trusting them in production. We partnered with Box to build a human-grounded evaluation layer as they expanded AI into real workflows, validating agent behavior on sensitive content and live documents so performance holds up in real enterprise conditions. If you're deploying agentic AI in production, read more at the link in comments.
micro1
Software Development
San Francisco Bay Area, CA 517,531 followers
The AI platform for human intelligence
About us
The AI platform for human intelligence that will match 1 billion people with their dream role.
- Website
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https://www.micro1.ai/li
External link for micro1
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco Bay Area, CA
- Type
- Privately Held
- Founded
- 2022
- Specialties
- Top Talent, AI, Engineering talent, AI Recruiter, AI Agent, and AI Interviewer
Products
Locations
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San Francisco Bay Area, CA, US
Employees at micro1
Updates
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micro1 reposted this
scaling up our research & engineering teams to build real world environments that train frontier AI models. if interested to work at the cutting edge of AI, email aaron@micro1.ai a few sentences.
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Excited to have you on board, Fabio!
I'm happy to share that I've joined micro1 as Director of Special Projects! I'll be supporting Human Data Initiatives, helping bridge the gap between world-class human expertise and the high-quality datasets that train frontier AI models. The team here is doing incredible work across expert data operations, RL environments, and robotics, all while growing at a remarkable pace. Excited for what's ahead. 🚀
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As enterprise AI agents spread throughout organizations worldwide, better infrastructure is needed for testing and improving agentic behavior. That's why we built Cortex, micro1's home for AI agent reliability and development.
Excited to introduce micro1 Cortex, a contextual evaluation, visibility, and improvement platform for enterprise AI agents. Foundational models are trained for general intelligence, but enterprises need agents that perform reliably inside their unique context: workflows, policies, data environments, and edge cases. Cortex brings trust to enterprise AI by leveraging domain experts and real-world scenarios for any use case to test, diagnose, and improve how agents behave in production.
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micro1 reposted this
ai will be as human as we make it
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Robyn Myers, former JP Morgan Investment Banking Analyst, shares how she’s continuing to build on her finance expertise while pursuing her MBA at Wharton. In the conversation, she talks about transitioning from traditional finance roles to high-impact AI work, and why flexibility became non-negotiable during business school. Link in the comments to the full interview on YouTube.
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micro1 reposted this
Dear Friends, Hosting the micro1 series has put me in a privileged position: I get to sit at the crossroads of #AI, #economics, and the future of work, with a front-row seat to conversations that are shaping where we are all heading. Until now, most of that energy has lived in the live session or in the YouTube recording. That feels like more can be done. So, starting now, every episode of the micro1 series will have a second life. After each episode, I will write a short reflection: not a recap, not a neat list of takeaways, but a snapshot of what the conversation actually did to my thinking. As micro1’s Chief Economist, I see these dialogues as a kind of live laboratory. They challenge my assumptions about how value is created, how talent moves, how organizations adapt, and what it really means to be AI-native instead of just AI-decorated. These posts will be my field notes from that laboratory. Sometimes they will be unfinished thoughts, sometimes uncomfortable questions, sometimes a sharp insight that emerged in the middle of a sentence and refused to go away. The goal is not to tidy things up, but to capture the friction: where old mental models break, where new ones start to form, and what that might imply for builders, workers, and decision-makers who are trying to keep up with a reality that is moving faster than most institutions can process. If you are curious about what I am actually learning from moderating this series, and not just what was said on stage, this is what I will be sharing. Episode by episode, conversation by conversation, letting the ideas leave the studio and do what they are supposed to do: provoke, unsettle, and hopefully, inspire. This is my first reflection, inspired by one of the episodes I learnt the most, hosting Arian Sadeghi; Behrad Toghi and Touraj Parang on robotics and data layers. Happy reading!
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micro1 reposted this
A lot of questions we receive are about what happens after applying to micro1. That’s why this Thursday I’m hosting a session walking through the full application journey and answering questions live. If you’re waiting on next steps or considering applying, join us (link to register in the comments).
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Powering Robotics: The Data Layer Behind Autonomy Powering Robotics: The Data Layer Behind Autonomy brings together robotics and AI leaders to explore how high-quality data enables autonomy across humanoid robots, autonomous vehicles, and embodied AI systems. Moderated by Mark Esposito, the panel features Arian Sadeghi, Behrad Toghi, and Touraj Parang, who will discuss why data is often the true bottleneck, how robotics data is collected and validated at scale, and what the robotics data stack needs to look like over the next 3–5 years to safely move from demos to real-world deployment.
www.linkedin.com
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micro1 reposted this
a letter to enterprises from Lin Qiao and I