micro1

Incumbent

medium confidence

www.micro1.ai ↗ · Status: active confirmed · Founded 2022

micro1 is a San Francisco AI training-data company founded in 2022 by Ali Ansari. It began as an AI recruiter (Zara) and now uses that system to vet expert contractors. It sells expert human data, frontier evaluations and RL environments to AI labs under the Realm brand, an enterprise agent-evaluation layer called Cortex, and expert-demonstrated robotics data, all run on its flow data platform. To make its 'RL gyms' realistic it pays companies for operational data, and it made a $12.5M late bid for Spirit Airlines' records. TechCrunch reported a $500M gross run rate in August 2026, and Forbes reported a raise of more than $100M at a $4B valuation in September 2026, with frontier labs taking part.

Key facts

Headquarters

San Francisco, CA, USAreported cite

Headcount band

51-200reported cite

Total raised

$138Mestimated cite

Last round

$100M+ at $4B valuation, 2026-09 (stage not disclosed)reported cite

SOC 2

unknown cite

What they sell

human data + environmentsconfirmed cite

Open source

partial (LongExtractionBench code and sample data; RedlineBench dataset with Crosby; Realm, Cortex and flow are proprietary)confirmed cite

Deployment

managed service (expert data, evals and RL environments delivered to labs and enterprises)estimated cite

What's new

13 sourced updates · last 6 months

24 Sep 2026research micro1 publishes flow-transform 1.0 for corpus-level PII transformation
The authors are Aruj Mahajan (AI Lead Engineer), Andrew Maas (VP of AI), Yongchao Zhou (Director of Research) and Rajeev Joshi. flow-transform 1.0 replaces real identities with consistent synthetic ones across an enterprise corpus. It scores a Transformation Quality Index of 88.9 with agentic review and 84.1 without, against 74.9 for NVIDIA's NeMo Anonymizer baseline. Detection F1 is 0.829 with agentic review, 0.758 without, and 0.678 for NeMo.
Why it matters: This is the de-identification layer behind micro1's purchases of enterprise operational data for RL environments. All results are self-reported.
22 Sep 2026funding micro1 raises more than $100M at a $4B valuation (reported)
Forbes (Anna Tong), citing two people familiar with the deal, reports a round of more than $100M at a $4B valuation, up from $500M in September 2025. Participants include two frontier labs and two xAI co-founders. No lead is named, and micro1 declined to comment. Forbes says customers include frontier AI labs, Microsoft, Amazon and robotics companies such as 1X. It describes micro1's 'reinforcement learning gyms' as simulated environments, built with real-world enterprise data, where AI agents can practise navigating workplaces.
Why it matters: Frontier labs investing in micro1 as well as buying from it is a strong demand signal. The round comes from anonymous sources, not a company announcement.
22 Sep 2026product micro1 introduces flow, its data platform combining experts and models
Rumi Elias Calles (Director of Research Engineering) and Tyler Houchin describe four flow components: flow gen (drafts and task variations), flow qc (quality inspection, such as catching prompt/rubric contradictions), flow grader (grading outputs against criteria or ground truth) and flow orchestration (a shared catalog of model capabilities). micro1 says flow underpins Realm (lab evals and RL environments), Cortex (enterprise agents) and Robotics.
Why it matters: Shows how micro1 uses model-assisted generation, QC and grading to scale expert-authored RL tasks and rubrics.
18 Sep 2026research micro1 research: frontier models introduce safety risks when controlling robots
Arian Sadeghi (VP, Robotics), Andrew Maas, Mitali Potnis and Ali Ansari injected faults mid-task in two robotic workflows: toxic liquid handling, and loading a sample tube into an analyzer. They tested Claude Opus 5 and Sonnet 5. Both failed. Opus 5 detected anomalies sooner but still caused damage in the manipulation task. Scores ranged from 6/15 to 9/15.
Why it matters: Shows micro1's embodied-AI evaluation work alongside its robotics data offering. The results are self-published.
4 Sep 2026other micro1 presses its $12.5M late bid for bankrupt Spirit Airlines' records against Google's $10M winning offer
micro1 offered $12.5M for Spirit's internal records after Google's $10M bid had won the auction. TIME (2026-08-25) reported that micro1's bid came after the auction closed and that Mercor had bid $7.5M. Per TNW, the records include about 500M Microsoft Teams items, 100M emails and roughly 16M customer chat sessions. micro1 proposed an ombudsman chosen by Spirit's advisers, U.S.-based storage, and exclusion of disciplinary, investigatory and union-related records. No court ruling was found in coverage through 2026-09-30 (Anadolu).
Why it matters: Shows micro1 buying real enterprise data to make its RL environments realistic, and the privacy scrutiny that comes with it. The outcome is unresolved in the sources found.
1 Sep 2026partnership micro1 says it was selected to support the DOE Genesis Mission
micro1 announced that it was selected to contribute to the U.S. Department of Energy's Genesis Mission. Its stated role covers making complex scientific and technical data usable for AI, building evaluation workflows, and bringing in expert knowledge. No contract value was disclosed.
Why it matters: A federal science engagement, alongside micro1's CDAO Tradewinds 'Awardable' status. This is micro1's own announcement and has no independent confirmation.
20 Aug 2026other TechCrunch: micro1 reaches a $500M gross run rate
Citing a person familiar with the company, TechCrunch (Marina Temkin) reports that micro1's gross annual run rate grew from $100M to $500M over eight months. It puts net run rate at $150M-$200M. The article says micro1 'retains roughly 60% to 70%' of gross, which does not match its own $150M-$200M net figure, since that range implies about 30-40% retained. Products cited are RL gyms, a robotics pretraining dataset, synthetic data generation, and off-the-shelf datasets at 80-90% gross margins. TechCrunch also says micro1 'may have recently raised another round at a significantly higher valuation'.
Why it matters: A scale signal. The headline '$500M' is gross bookings, not net revenue, and it comes from an anonymous source.
2 Aug 2026product Flow for mission data: machine-first annotation of defense EO/IR video
micro1 applies its flow pipeline to aerial electro-optical/infrared footage, with human verification layers on top. It cites a threefold reduction in human correction load at constant quality, a figure carried over from its published robotics work. No agencies are named.
Why it matters: Expands micro1 into defense data. No security accreditations are stated.
13 Jul 2026research 'The Benchmark Ceiling' paper by micro1's Chief Economist
Mark Esposito (micro1) and Liu Zhang (Harvard) model how benchmarks lose value as they saturate, and document a scarcity premium for expert evaluation labor. They use micro1 platform data on more than 1,000 credentialed professionals (arXiv 2607.01254).
Why it matters: micro1's argument that expert-built evaluations stay scarce and valuable as benchmarks saturate.
30 Jun 2026open-source LongExtractionBench code and sample data released
Seven extraction systems compared on 225 documents averaging 358 pages. Grading code is at github.com/micro1-research/longextract-bench (MIT), and a 50-document sample is at huggingface.co/datasets/micro1-inc/longextract-bench-50. The full corpus is not released for licensing reasons. The date is when the repo and dataset were last updated, since the benchmark page shows none.
Why it matters: The only public code repository from micro1 that we found.
15 May 2026benchmark Realm: Financial Reasoning Benchmark
103 expert-authored finance tasks with 144 attachments and 927 rollouts across GPT-5.5, Claude Opus 4.7 and Gemini 3.1 Pro. GPT-5.5 leads on mean reward. No model clears 50% on tasks that need a judgment call, and venture-capital tasks averaged 22.8%.
Why it matters: A public sample of the expert-rubric agent tasks micro1 sells to labs under Realm.
16 Apr 2026other micro1 named to Forbes' AI 50 'Brink' list
micro1's newsroom lists its inclusion on the Forbes AI 50 Brink list, dated 2026-04-16.
Why it matters: Recognition signal only. Sourced from micro1's newsroom.
10 Apr 2026benchmark Realm: Legal Reasoning Benchmark
Long-horizon litigation, transactional and compliance tasks. Each has 35-60 rubric items, split as issue 4%, rule 33%, application 48%, conclusion 9% and other 6%, and an LLM judge gives a reward from 0 to 1. Claude Opus 4.7 and GPT-5.5 are statistically tied (0.007 apart), and Gemini 3.1 Pro scores about two-thirds of either.
Why it matters: A public example of how micro1 structures its legal RL and eval tasks.

Founding team

Ali Ansari

Founder & CEO

Born in Iran and raised in Los Angeles. Studied computer science at UC Berkeley, and his micro1 bio adds Stanford computer science with a focus on reinforcement learning (he told the Stanford Daily in 2025 that he was a master's student). Before micro1 he ran a textbook-resale business, a math-tutoring platform and a software agency. Forbes calls him a solo founder.

Profile ↗

Andrew Maas

VP of AI (non-founder)

VP of AI at micro1, co-author of the September 2026 flow-transform PII paper and the robotics safety research. Prior background is not stated on micro1 pages.

Profile ↗

Yongchao Zhou

Director of Research (non-founder)

Director of Research at micro1, per the September 2026 research byline. Prior background is not stated on micro1 pages.

Profile ↗

Kathy Wang

Chief Information Security Officer (non-founder)

micro1's CISO. Her 'Why I joined micro1' post says the expert data passing through micro1 is among the most sensitive in the AI supply chain. Prior roles are not stated on the page.

Profile ↗

What practitioners should know

For researchers

The Realm benchmark pages (legal, financial, tax, pathology v1 and v2) document the task design: sandboxed agents with shell, file I/O and web search; 35-60 expert rubric items per legal task, and 1,071 criteria in total for pathology v2; and an LLM judge giving a reward from 0 to 1. Most of these pages do not link a public dataset or paper.
Open releases are limited: LongExtractionBench (github.com/micro1-research/longextract-bench, MIT; Hugging Face micro1-inc/longextract-bench-50), RedlineBench with Crosby (Hugging Face crosbylegal/RedlineBench, CC-BY-4.0) and a small Hugging Face dataset, micro1-inc/Prospera_Benchmark. No open environments or model weights were found.
Papers with arXiv versions: 'No Last Mile' (2603.00932) and 'The Benchmark Ceiling' (2607.01254). The flow-transform PII paper and the robotics-safety study (both September 2026) appear only on micro1.ai. In a 2025 Stanford Daily interview, Ansari said Stanford's Stefano Ermon leads micro1's research lab. No 2026 micro1 page confirms this.

For program managers

Scale: TechCrunch, citing an anonymous source, reports a $500M gross run rate (August 2026) and estimates net at $150M-$200M. Earlier figures: about $7M ARR at the start of 2025, $50M in September 2025 and $100M+ in December 2025.
Frontier-lab ties: Forbes (September 2026) names unnamed frontier labs, Microsoft, Amazon and 1X as customers, and reports that two frontier labs and two xAI co-founders joined the $100M+ round at $4B. TechCrunch (December 2025) described Microsoft as one of the AI labs micro1 works with. micro1's own site names no lab.
Engagement is a managed service: Realm for labs, Cortex for enterprises and Robotics for embodied AI, all run on the flow platform. The main named public reference is a self-published Box case study (enterprise agent eval data), which has no Box quote.
micro1 makes its environments realistic by buying enterprise data: data partnerships at $100k to $1M+, and a $12.5M late bid for Spirit Airlines' records that was unresolved in coverage through late September 2026. Check data provenance and consent terms.

For data ops

No public trust center and no SOC 2 or ISO 27001 claim was found on the micro1.ai home, Realm, government or data-partnerships pages, and /security and trust.micro1.ai were not found. micro1 does have a named CISO, Kathy Wang. Ask for attestations directly.
Privacy controls stated on the data-partnerships page: agreed data scope, PII removal and anonymization, restricted access, isolated processing pipelines, and deletion on request. flow-transform 1.0 is the de-identification tool.
No public API docs or delivery-format specs were found. Government standing: CDAO Tradewinds 'Awardable' status, and micro1 says it was selected to support the DOE Genesis Mission (September 2026).

Benchmarks & research

12 published

PII Transformation for Enterprise Datasets (flow-transform 1.0)paper · 24 Sep 2026

Corpus-level PII transformation, scored with a Transformation Quality Index (TQI) and detection F1.

TQI 88.9 with agentic review vs 74.9 for NVIDIA NeMo Anonymizer. Detection F1 0.829 vs 0.678. Self-reported.

Open ↗

AI Models Now Introduce Safety Risks in the Physical Worldpaper · 18 Sep 2026

Fault-injection tests of Claude Opus 5 and Sonnet 5 controlling robots on lab tasks.

Both models failed both tasks, scoring 6/15 to 9/15

Open ↗

Realm: Pathology-report reasoning benchmark (v2)benchmark · Sep 2026

Agents read de-identified anatomic-pathology reports and write structured summaries. About 80% of tasks use a single report and 20% combine several. Expert-authored rubrics hold 1,071 criteria (772 positive, 299 penalty), and an LLM judge (GPT-5.4 mini) scores each one.

Claude Fable 5.1 leads the main scoreboard at 78.0%, ahead of Muse Spark 1.3 (75.8%) and Claude Opus 5 (75.2%). A separate summary table lists Claude Opus 5.5 at 77.0%. Extraction criteria are met 93% of the time, interpretation criteria 73%.

Open ↗

The Benchmark Ceilingpaper · 13 Jul 2026

Esposito (micro1) and Zhang (Harvard) on how benchmarks depreciate and why expert evaluation labor is scarce.

Open ↗Paper ↗

LongExtractionBenchbenchmark · 30 Jun 2026

Seven extraction systems compared on 225 dense documents averaging 358 pages. Grading code is MIT-licensed on GitHub, with a 50-document sample on Hugging Face.

Reducto Deep Extract completed 225/225 at 99.6% precision and recall. Claude Opus 4.8 and Gemini 3.1 Pro completed 116 and 112 of 225.

Open ↗Paper ↗

Realm: Pathology-report reasoning benchmark (v1)benchmark · 22 Jun 2026

50 tasks (41 single-report, 9 multi-report) across eight clinical domains. Agents get shell, file I/O, an editor and web search, and an LLM judge grades them on expert rubrics.

Claude Opus 4.8 82.6%, GPT-5.5 76.3%, Gemini 3.5 Flash 75.7%

Open ↗

Realm: Financial reasoning benchmarkbenchmark · 15 May 2026

103 expert-authored finance tasks with 144 attachments, grounded in real work products. 927 rollouts across GPT-5.5, Claude Opus 4.7 and Gemini 3.1 Pro.

GPT-5.5 leads on mean reward. No model clears 50% on judgment-call tasks, and VC tasks average 22.8%.

Open ↗

Realm: Legal reasoning benchmarkbenchmark · 10 Apr 2026

Long-horizon litigation, transactional and compliance tasks in a sandbox. Each task has 35-60 rubric items decomposed along IRAC lines, and an LLM judge gives a reward from 0 to 1.

Claude Opus 4.7 and GPT-5.5 are statistically tied (0.007 apart). Gemini 3.1 Pro scores about two-thirds of either.

Open ↗

No Last Mile: A Theory of the Human Data Marketpaper · 1 Mar 2026

Ansari, Esposito, Fitoussy and Zhang model structured human data work (evaluation, auditing, QA) as a lasting input to AI production rather than a temporary one.

Predicts a long-run structured-labor share of 5-7%

Open ↗Paper ↗

Realm: Tax reasoning benchmarkbenchmark · 2026

Agents prepare a complete federal (Form 1040) return with schedules from source documents, scored against expert-authored criteria.

GPT-5.4 leads with mean reward 0.368 and pass@3 of 28%. 44% of criteria go unsolved by every model.

Open ↗

Crosby-micro1 RedlineBenchbenchmark · 2026

Multi-turn SaaS MSA negotiation and redlining benchmark built with Crosby Legal, using attorney-authored rubrics across five dimensions. The dataset is on Hugging Face (crosbylegal/RedlineBench, CC-BY-4.0).

Turn-weighted scores: GPT-5.5 50.5%, Claude Fable 5 47.3%, Gemini 3.5 Flash 45.1%, Claude Opus 4.8 44.4%

Open ↗Paper ↗

CortexRetrievalBenchbenchmark · 2026

Financial-research retrieval benchmark: 140 tasks over 155 documents from 29 companies. Tests whether retrievers rank the authoritative source first.

Success@1 ranges from 42.1% (BM25) to 69.3% (OpenAI dense retriever). Authority Success@10 ranges from 92.1% to 99.3%.

Open ↗

Products

Realm ↗

Sold as 'Frontier evaluations and RL environments for AI Labs': expert-authored, sandboxed agent tasks with rubric-based rewards across 100+ fields (finance, medical, legal, coding, STEM, VLM, audio), delivered as a managed service. Forbes describes these as RL gyms built with real enterprise data.

Cortex ↗

Evaluation and improvement layer for enterprise agents in production: eval design, failure diagnosis by domain experts, targeted training data and reliability monitoring.

Robotics data ↗

Expert-demonstrated POV and third-person capture, 2D/3D annotation and QC for embodied-AI labs.

flow ↗

Data platform that pairs expert judgment with model-assisted task generation (flow gen), QC (flow qc), grading (flow grader) and orchestration. Variants include flow-transform for PII and Flow for mission data (defense EO/IR).launched 22 Sep 2026

Data partnerships ↗

micro1 pays companies for operational data such as SOPs, knowledge bases, workflow and decision data, and human feedback. Tiers are $100k+, $500k+ and $1M+. Data goes through PII removal, restricted access and isolated pipelines, and is used for Realm evaluations and RL environments.

Zara (AI interviewer) and expert network ↗

AI recruiter that vets the expert contractors. The government page cites '130,000+ deeply vetted candidates across 100+ domains and 60+ languages'.

Government ↗

Agent buildouts and human data for government buyers. micro1 holds 'Awardable' status on the CDAO Tradewinds Solutions Marketplace.

Scale & velocity

Current headcount

Full-time staff not disclosed. LinkedIn lists a 51-200 band, but about 10,400 people list micro1 on LinkedIn, likely including contractors.reported cite

Headcount growth

unknown

Open roles

unknown cite

Other locations

unknown

Distributed / remote

unknown

Research depth

Has researchers

yesconfirmed cite

Researcher count

unknown

Backgrounds

Andrew Maas, VP of AI, Yongchao Zhou, Director of Research, Rumi Elias Calles, Director of Research Engineering, Arian Sadeghi, VP Robotics, Mark Esposito, Chief Economist (co-authors with Harvard's Liu Zhang), Stanford's Stefano Ermon, said by Ansari to lead micro1's research lab (Stanford Daily, 2025-10; not confirmed on micro1 pages)reported cite

Capital

Total raised

$138M+ (est. sum: $3.3M pre-seed/seed 2023 + $35M Series A 2025-09 + $100M+ round 2026-09)estimated cite

Last round

$100M+ at $4B valuation, 2026-09 (stage not disclosed)reported cite

Investors

01 Advisors (Dick Costolo, Adam Bain; led Series A; Bain on board), Two unnamed frontier AI labs (2026 round, reported), Two unnamed xAI co-founders (2026 round, reported), Dream Ventures (led 2023 round), Jason Calacanis (2023), Joshua Browder (2023; board member), Cory Levy (2023)reported cite

Valuation

$4B (2026-09, reported)reported cite

Revenue signals

$500M gross annual run rate (2026-08), with net estimated at $150M-$200M (TechCrunch, citing a person familiar with the company). Earlier: about $7M ARR at the start of 2025, $50M in 2025-09, $100M+ in 2025-12.reported cite

Date	Round	Amount	Led by
22 Sep 2026	undisclosed	$100M valuation $4B	–	source ↗
	$100M+ ('more than US$100 million')
12 Sep 2025	Series A	$35M valuation $500M	01 Advisors (Dick Costolo, Adam Bain)	source ↗
24 Oct 2023	Pre-seed / seed	$3.3M valuation $30M	Dream Ventures	source ↗
	$3.3M total ($2M pre-seed plus a $1.3M oversubscribed round)

Security & compliance

SOC 2

unknown cite

Other certifications

CDAO Tradewinds Solutions Marketplace 'Awardable' status (procurement status, not a security certification)confirmed cite

Security page

unknown

Product

What they sell

human data + environmentsconfirmed cite

Open source

partial (LongExtractionBench code and sample data; RedlineBench dataset with Crosby; Realm, Cortex and flow are proprietary)confirmed cite

License

mixed: longextract-bench MIT; RedlineBench dataset CC-BY-4.0 (Crosby); commercial products proprietaryconfirmed cite

Deployment model

managed service (expert data, evals and RL environments delivered to labs and enterprises)estimated cite

Maturity

GAreported cite

Notable customers

⚑Microsoft verified ⚑Amazon self-claimed 1X self-claimed Box self-claimed cite

Buyer analysis

Best fit: Labs and enterprises that want a large managed vendor for expert-authored, rubric-graded agent tasks and evals in professional domains (legal, finance, tax, healthcare), for RL environments seeded with real enterprise data, or for robotics demonstration data.

How we verified this

2026-10-05 initial profile: I opened and checked the core claims against their sources: - **Forbes Australia syndication:** more than $100M at $4B; two frontier labs and two xAI co-founders in the round; customers including frontier labs, Microsoft, Amazon and 1X; micro1 declined to comment. - **TechCrunch:** the 2025 Series A of $35M at $500M led by 01 Advisors; the December 2025 $100M ARR article describing Microsoft as an AI lab customer; the August 2026 $500M gross run rate from an anonymous source, with a $150M-$200M net estimate. - **Pulse 2.0:** the 2023 $3.3M round at a $30M valuation. - **micro1 pages:** flow, DOE Genesis, the defense EO/IR post, the PII paper, The Benchmark Ceiling, No Last Mile, all Realm benchmark pages, data partnerships and the government page. - **GitHub and Hugging Face:** the micro1-research and micro1-inc orgs, and the Crosby RedlineBench dataset. - **Spirit coverage:** TNW, TIME and Anadolu. Both founder headshots were downloaded and viewed. Each shows one person and comes from micro1's own pages. Corrections: - Pathology v2 headline: Opus 5.5 at 77.0% appears only in a secondary table. - TechCrunch's retention wording contradicts its own net figure, so the item now flags it. - The Spirit bid timeline and court status were reframed. - Precise dates were added for several items. Items the researcher missed and I added: the September 2026 robotics safety research (with VP Robotics Arian Sadeghi), the No Last Mile arXiv paper, and the RedlineBench CC-BY-4.0 license. Remaining gaps: - No SOC 2 or trust center was found. - No frontier lab is named as a customer by any primary source. - The 2026 round and the revenue figures rest on anonymous-source reporting. - No court ruling on Spirit was found. - WebSearch was unavailable (budget exhausted), so discovery used Google News RSS. Forbes.com itself was not opened; its Australian syndication was used instead.

Related vendors

Sources

www.micro1.ai/ · 2026-10-05, Homepage
www.micro1.ai/realm · 2026-10-05, Realm: frontier evals and RL environments for AI labs. No compliance badges, no named labs.
www.micro1.ai/cortex · 2026-10-05, Cortex enterprise agent eval layer
www.micro1.ai/robotics · 2026-10-05, Robotics data offering
www.micro1.ai/data-partnerships · 2026-10-05, Pays $100k+, $500k+ or $1M+ for operational data. Privacy controls.
www.micro1.ai/government · 2026-10-05, CDAO Tradewinds Awardable. 130,000+ vetted candidates. No SOC 2 or FedRAMP.
www.micro1.ai/research · 2026-10-05, Research index, including No Last Mile (2026-03) and the robotics safety study (2026-09)
www.micro1.ai/research/no-last-mile · 2026-10-05, 2026-03-01, arXiv 2603.00932
www.micro1.ai/research/ai-models-now-introduce-safety-risks-in-the-physi · 2026-10-05, 2026-09-18. Arian Sadeghi, VP Robotics.
www.micro1.ai/newsroom · 2026-10-05, Press list, including Forbes AI 50 Brink (2026-04-16)
micro1.ai/blog/introducing-flow · 2026-10-05, flow platform, 2026-09-22
micro1.ai/blog/micro1-supporting-the-doe-genesis · 2026-10-05, DOE Genesis selection, 2026-09-01
micro1.ai/blog/data-for-our-defense-customers · 2026-10-05, Flow for mission data, 2026-08-02
www.micro1.ai/research/pii-transformation-for-enterprise-datasets · 2026-10-05, flow-transform 1.0, 2026-09-24
www.micro1.ai/research/the-benchmark-ceiling · 2026-10-05, arXiv 2607.01254, 2026-07-13
www.micro1.ai/benchmark/realm-legal · 2026-10-05, Legal benchmark, 2026-04-10
www.micro1.ai/benchmark/realm-financial · 2026-10-05, Financial benchmark, 2026-05-15
www.micro1.ai/benchmark/realm-tax · 2026-10-05, Tax benchmark
www.micro1.ai/benchmark/realm-pathology-report · 2026-10-05, Pathology v1 (June 22)
www.micro1.ai/benchmark/realm-pathology-report-v2 · 2026-10-05, Pathology v2 (reauthored 17-20 September 2026)
www.micro1.ai/benchmark/crosby-micro1-redlinebench · 2026-10-05, RedlineBench with Crosby
huggingface.co/datasets/crosbylegal/RedlineBench · 2026-10-05, CC-BY-4.0 dataset owned by crosbylegal
www.micro1.ai/benchmark/cortex-retrieval-bench · 2026-10-05, CortexRetrievalBench
www.micro1.ai/benchmark/long-extraction · 2026-10-05, LongExtractionBench
github.com/micro1-research · 2026-10-05, One public repo, longextract-bench (MIT), updated 2026-06-30
huggingface.co/micro1-inc · 2026-10-05, Two datasets, no models
www.micro1.ai/ali-ansari · 2026-10-05, Ansari bio. Headshot checked: HTTP 200 image/webp, single-person portrait.
www.micro1.ai/team/why-i-joined-micro1-2 · 2026-10-05, Kathy Wang, CISO. Author headshot checked: HTTP 200 image/png, single-person portrait.
www.micro1.ai/case-study/box · 2026-10-05, Box case study (self-published, no Box quote)
www.micro1.ai/series-a · 2026-10-05, Series A: $35M at $500M post-money, 2025-09-12
www.forbes.com.au/news/uncategorized/this-25-year-old-raised-us100-milli · 2026-10-05, Forbes (Anna Tong) syndication: more than $100M at $4B, per two people familiar with the deal
techcrunch.com/2026/08/20/ai-data-startup-micro1-reaches-500m-gross-run- · 2026-10-05, $500M gross run rate, $150M-$200M net, anonymous source
techcrunch.com/2025/12/04/micro1-a-scale-ai-competitor-touts-crossing-10 · 2026-10-05, $100M ARR. 'works with leading AI labs, including Microsoft'. RL work.
techcrunch.com/2025/09/12/micro1-a-competitor-to-scale-ai-raises-funds-a · 2026-10-05, $35M Series A led by 01 Advisors at $500M. Bain and Browder on the board.
finance.yahoo.com/news/scale-ai-rival-micro1-hits-134611177.html · 2026-10-05, Founded 2022. $50M ARR. Expanding into environments.
pulse2.com/micro1-ai-recruiting-company-raises-3-3-million/ · 2026-10-05, 2023-10-24: $3.3M at $30M valuation
e.vnexpress.net/news/tech/personalities/from-50-ebay-flip-to-2-5b-ai-sta · 2026-10-05, 2026-02-21: $2.5B valuation per Forbes estimates. Ansari background.
stanforddaily.com/2025/10/16/micro1-founder-ali-ansari-on-ai-and-human-i · 2026-10-05, Ansari says Stefano Ermon leads micro1's research lab
thenextweb.com/news/micro1-12-5m-counterbid-spirit-airlines-records-goog · 2026-10-05, Spirit counter-bid details, 2026-09-04
www.aa.com.tr/en/science-technology/ai-firms-set-sights-on-data-from-ban · 2026-10-05, 2026-09-30: approval hearing still upcoming
time.com/article/2026/08/25/google-spirit-airlines-ai-data-RL/ · 2026-10-05, Mercor $7.5M. micro1's bid came after the auction closed.
www.linkedin.com/company/micro1/ · 2026-10-05, 51-200 band, SF Bay Area, founded 2022, about 10,400 associated members

Last updated 2026-10-05 · Every quantitative field carries a source and a confidence tag. Fields we could not source publicly are marked unknown, never estimated. See the methodology.