data lab to train frontier models & evaluate agents
San Francisco, CA
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micro1 retweeted
we are opening up our first robotics data lab in Malibu!
in 9 months, our robotics department has grown from 0 to $100m ARR.
this data lab is an effort to accelerate all the progress being made, with an increased focus on evaluating models with hardware.
we are hiring robotics researchers, engineers, and teleoperators.
please reach out if you are interested in training robots at the beach. 🏄♂️
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We’re excited to share flow-transform 1.0, our new PII transformation model.
It replaces real-world identities with consistent synthetic counterparts across enterprise datasets while preserving the context and relationships that make the data valuable for AI training.
Across our evaluations, it delivers frontier-level performance in detection, identity synthesis, and full-corpus transformation.
Alongside the model, we’re introducing the Enterprise De-Identification Benchmark and TQI to measure transformation quality beyond detection alone.
Learn more:
Today we’re launching micro1’s PII transformation model, flow-transform 1.0, delivering frontier-level performance across detection, identity synthesis, and transformation of personally identifiable information.
On PrivacyBench, our model reaches 96.0% F1, outperforming every detection baseline we tested, including Tonic Textual, Claude Opus 4.8, Sonnet 4.6, Microsoft Presidio, Haiku 4.5 and GLiNER2.
Some of the most valuable training data for frontier AI models lives inside fully functioning companies. It captures years of real work across decisions, communications, tools, handoffs, exceptions and the relationships connecting them.
The problem is that this data is also full of PII.
Traditional redaction makes the data safe, but it also destroys the very workflows and relationships frontier models need to learn from.
flow-transform 1.0 solves this by turning enterprise operational data into high-fidelity training data for frontier models by replacing real-world identities without flattening the reality the data captures.
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We’re sharing a deeper look at flow, our next-generation data platform for delivering predictable units of intelligence improvement at scale.
This article transparently lays out the full flow architecture including its data generation models, expert workflows, and models for quality control and evaluation.
At its core is a flywheel where human expertise continuously compounds. Experts set the standard for models to generate and evaluate training data, then their corrections feed back into both the data and the models producing it.
Each round strengthens the next, making intelligence gains more predictable while driving costs substantially lower.
Explore the full framework below.
micro1.ai/blog/introducing-f…
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Meet Ashley Ramsay, customer service operations expert at micro1.
Her husband has served in the Air Force for 13 years, with four relocations along the way. Her background is in hospitality, but she’s found her calling training AI.
Ashley is part of a growing number of military spouses and veterans finding real, paid opportunities training AI. micro1 is proud to support military families with flexible opportunities to apply their expertise and help shape the future of AI.
Link to watch the full interview in the comments.
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Excited to share that micro1 is now live on Microsoft Marketplace and officially Azure IP Co-Sell eligible.
This means enterprises can now transact with micro1's Cortex solution through their existing @Microsoft relationship, with Microsoft handling the transaction and billing through Azure Marketplace. This helps streamline the procurement process for large organizations.
Additionally, eligible purchases can decrement a customer's Microsoft Azure Consumption Commitment (MACC), enabling enterprises to use committed Azure spend to transact with micro1.
At micro1, we believe enterprises must own their intelligence. As companies deploy more AI agents into real workflows, they need visibility into how those agents actually perform, where they fail, and how to improve them over time.
micro1 Cortex provides enterprises with an evaluation stack that leverages expert human judgment to assess AI agents in real business workflows, helping teams identify why agents fail and monitor reliability as their models, prompts, and environments evolve.
Thank you to the @msft4startups and @M12vc teams for the continued partnership.
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We hosted our first virtual session with former Spirit Airlines employees to discuss our bid for the airline’s operational data.
Privacy and security are core to this process. We’re only pursuing non-sensitive, non-consumer data, and are working to thoroughly de-identify it, with an independent third party involvement and very transparent development of our PII transformation model (more on this soon).
This session was also a chance to hear directly from former Spirit employees, answer their questions, and address any concerns about how this data will be used.
If there’s any questions, feel free to reach out to spirit@micro1.ai
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Today we’re introducing flow, micro1’s next-generation data platform for turning human expertise into measurable capability gains.
At the core of flow are Realms, micro1’s real-world RL environments where experts establish what strong performance looks like. flow-gen models expand human judgment into new environments, rubrics, variations, and edge cases, while flow-qc models evaluate performance, identify the highest-value failures, and route them back to experts for review.
Each cycle produces a stronger training signal and a measurable gain in capability. Those gains compound across frontier models, enterprise agents through Cortex, and robotics, while improving the suite of data generation models recursively.
We’re moving beyond producing data to delivering abundant & predictable units of intelligence improvement.
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Today we're excited to announce the launch of micro1’s Economic Research Unit.
As AI reshapes the economy in real time, we’re aiming to better understand what that means for work, productivity, and economic growth.
At micro1, we have access to real-world data and human expertise that can help answer these questions. This team will leverage these resources to study how AI is changing the economy and where human judgment continues to matter most.
Watch the full conversation on why we’re launching the unit, linked in the comments below.
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micro1 retweeted
in the past 24 hours alone, micro1 has paid out $5.8M to 9 businesses for their enterprise data. that’s an average of over $600k per business.
frontier AI needs training data that captures the complexity of real-world work. real businesses hold decades of decisions, exceptions and learnings that make the next breakthroughs possible.
realism is a new dimension of scale & arguably the most important ingredient for model training data. if your company is interested in a data partnership, reach out to us.
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Unpack AI’s economic impact with Microsoft and micro1’s chief economists, live on Wednesday, September 9 at 12 PM PT.
Microsoft’s Chief AI Economist, Frank Nagle, joins micro1 Chief Economist @Exp_Mark to discuss how AI creates economic value and why that value can be difficult to measure. Drawing on Frank’s research into open source and digital infrastructure, they’ll also explore AI’s contributions beyond company financial results and how economic incentives are shaping its development and adoption.
Link to register in the comments below.
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Register: us06web.zoom.us/webinar/regi…
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micro1 retweeted
close to 20,000 people have signed up in 6 hours.
we are onboarding about 2,000 over next 12h.
biggest robotics training project is being set up as we speak.
we’re hiring 10,000 robotics trainers in the next 7 days.
$50–$90/hour, accepting applicants globally. you’ll review and label videos of robots performing tasks to help them improve. no prior AI experience required.
an entirely new category of work is emerging around teaching robots how to interact with the world.
application link in the comments below.
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We are hiring 10,000 robotics trainers over the next 7 days for one of our biggest projects yet.
We're looking for thousands of participants to help train robots by reviewing and labeling videos of them performing tasks.
- Role is open to English speaking and Western countries
- No prior AI experience required
- You'll review and label videos of robots performing tasks to help them improve
- Hourly rate: $50-90/hr
- Referral bonus: $300 per successful referral
Apply via the link in comments!
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micro1 retweeted
partnerships & pickleball with @micro1_ai! 🏓
thanks so much to everyone who came to hang out with us!
more coming soooon!
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micro1 retweeted
Excited to share that micro1 has been selected to support the U.S. Department of Energy’s Genesis Mission.
Genesis is a Manhattan Project-scale national effort to accelerate scientific discovery with AI and build the energy foundation needed to power America’s AI leadership.
micro1 will support the mission by developing the data and evaluations that enable frontier AI to tackle some of the country’s most difficult scientific and engineering challenges.
We’re proud to play a role in an effort this important to the future of American science, energy, and AI. More on our work with the DOE linked in the comments. 🇺🇸
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