Collinear B Verified
RL environment company · Security
- On X
- @collinearAI ↗
- Tier
- B why
- Snapshot

What Collinear does
Collinear sells Simulation Lab RL environments with simulated users, tools and verifiers, plus off-the-shelf tasks, benchmarks and agent training data for frontier labs.
- Sells
- RL environments and Data
- Leads with
- Several domains (a generalist)
- Based in
- Mountain View, USA
- Team
- 11-25
- Website
- collinear.ai ↗
What Collinear sells
Read from Collinear's own website, checked October 11, 2026: the line that puts it in each category.
RL environments
“Every simulation lab is a self-contained world where your agent operates, complete with the users, tools, data, and tasks it will face in production.”
collinear.ai/ ↗“Diagnose failure, don’t just rank models. Including CWE-Bench, MCP-Atlas, and OSWorld-Verified”
collinear.ai/ ↗
Data
“500B+ tokens of agent training data generated”
collinear.ai/ ↗
Domains Collinear covers
“Collinear supports cybersecurity and software engineering, computer use, multi-step tool use, long-horizon reasoning, APIs and MCP, and CLI workflows.”
collinear.ai/ ↗“Software engineering, computer use, and long-horizon reasoning”
collinear.ai/ ↗“Expert-calibrated where correctness is hard. Cybersecurity, finance, and customer service”
collinear.ai/ ↗“Cybersecurity, finance, and customer service”
collinear.ai/ ↗“From GUIs and APIs to MCP, CLI, GitHub, Jira, ServiceNow, and Salesforce”
collinear.ai/ ↗
Benchmarks Collinear built or runs
Curator Evals built it
“At Collinear, we built Curator Evals: a benchmarking and evaluation library designed to systematically measure the performance of curators and reward models.”
blog.collinear.ai/p/curator-evals ↗CWE-bench v1 (2026-09 built it
“Evaluations we build to find where models fail”
collinear.ai/research ↗TraitBasis / Impatient Users Confuse AI Agents built it
“To apply our TraitBasis method systematically, we developed τ-Trait, a new benchmark designed specifically to measure agent robustness.”
blog.collinear.ai/p/trait-basis ↗YC-Bench built it
“Evaluations we build to find where models fail”
collinear.ai/research ↗
Collinear competitors and alternatives
The companies that sell the most of the same things in the same domains, and what they share with Collinear.
- AfterQuery Also sells RL environments, datasets and evals · also in coding, computer use and enterprise work
- ReasonCore Also sells datasets, RL environments and evals · also in coding, finance and enterprise work
- Refresh Also sells RL environments, evals and datasets · also in coding, computer use and enterprise work
- Snorkel AI Also sells datasets, RL environments and evals · also in computer use, enterprise work and finance
- Theta Also sells RL environments and evals · also in finance, coding and enterprise work
Tier B
Growing: 11 to 50 people, or $3M+ raised.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- team 11-50
- raised $10M
- investors: Engineering Capital, 112 Capital, B Capital
- in curated RL directories (5 pts)
On X · well regarded, low buzz, from 14 posts about Collinear in the last month
Mostly founder and staff posts claim its benchmarks are adopted by frontier labs; it is an Artificial Analysis cyber index partner, with little independent discussion.
How we got to tier B
- Adoption: team 11-50; raised $10M; investors: Engineering Capital, 112 Capital, B Capital. Tier B.
- On X: well regarded, low buzz. “Mostly founder and staff posts claim its benchmarks are adopted by frontier labs; it is an Artificial Analysis cyber index partner, with little independent discussion.” No move.
- In curated RL directories: 5 points, a floor of C.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Collinear funding
Backed by112 CapitalB CapitalEngineering CapitalHitachi VenturesStorm Ventures
Funds 4
- 112 Capital
- Saw the 112 Capital logo among its backers
- Found word for word on its own site: collinear.ai/about-us
- Also named by a curated directory
- B Capital
- Saw the B Capital logo among its backers
- Found word for word on its own site: collinear.ai/about-us
- Also named by 4 other pages read and a curated directory
- Engineering Capital
- Saw the Engineering Capital logo among its backers
- Found word for word on its own site: collinear.ai/about-us
- Also named by 1 other page read and a curated directory
- Storm Ventures
- Saw the Storm Ventures logo among its backers
- Found word for word on its own site: collinear.ai/about-us
- Also named by a curated directory
Corporate investors 1
- Hitachi Ventures
- Saw the Hitachi Ventures logo among its backers
- Found word for word on its own site: collinear.ai/about-us
- Also named by a curated directory
Every figure is quoted from its own site, its accelerator or a funding announcement; a round's amount and lead appear only when its quote states them. Startup databases are never used as evidence. Checked 2026-10-11. How funding is checked.
Training methods
Methods Collinear uses, offers or builds for, with public evidence: its own website says so, or two independent sites do.
- DPO Direct Preference Optimization On its own website
“4. Preference Optimization: Iteratively improve the judge model by DPO, resulting in an improved judge model at each iteration.”
blog.collinear.ai - SFT Supervised Fine-Tuning On its own website
“…ods, by relying only on examples from the training data, our model significantly improves both its rationale quality and its scoring accuracy, outperforming similar and even bigger sized models as well as different post-SFT methods, on diverse evaluation benchmarks. Additionally, we also show the quality improvement in rationales through our proposed recipe through human evaluation.”
blog.collinear.ai“…12B-23B to match the performance of models in the range of 32B-70B. This blog presents results on using Collinear math correctness curators used by ServiceNow for CPT of Mistral-NeMO-12B. We also show similar gains with SFT on a Phi-3.5B-instruct model using their curated data. The curated datasets and the post-trained models are now open-sourced and available on Hugging Face.”
blog.collinear.ai
Where Collinear sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Latest from Collinear on X
@collinearAI ↗Next: browse all environments. Entry from the RL Research daily scrape of public sources, 2026-11-05 snapshot.