What Collinear AI does

Collinear AI is a US-based, privately held company founded in 2024 that builds simulation infrastructure for training, testing, and evaluating autonomous AI agents prior to production deployment. Its core product, the Simulation Lab, provides isolated, reproducible sandboxes pre-populated with realistic simulated users (generated via the proprietary TraitBasis activation-steering method), stateful enterprise tools, scenario data, and deterministic programmatic verifiers. The platform runs agents through thousands of multi-turn, multi-tool workflows and emits verified reward signals that can be consumed as training data for RL, DPO, or supervised fine-tuning. Supporting modules include VERITAS (hallucination detection, 440M–8B parameters), CollinearGuard-Nano (safety moderation), Flex Judge (few-shot customizable evaluation), Assess v2 (self-serve benchmarking), Curator Evals (post-training data curation benchmarking), and Conversation Builder; the company also publishes open-source benchmarks such as YC-Bench, τ-Bench, and τ-Trait.

The company operates a hybrid research-and-product posture, evidenced by arXiv publications, acceptance at CoLM 2025 and NeurIPS 2025, and an engineering and research team drawn from Hugging Face, Salesforce, Google, Amazon, and Stanford (with James Zou as a named advisor). Customers include frontier AI labs (Amazon AGI Labs, ServiceNow, Together AI), enterprise AI teams in telecom, education, banking, real estate, and data orchestration (a Fortune 500 telecom operator, MasterClass, Commonwealth Bank, Kore.ai, Matillion, LaHaus), and a sovereign AI program (HUMAIN in the Middle East). Revenue is generated via Simulation Lab SaaS subscriptions and custom enterprise agreements; pricing is not publicly disclosed. Go-to-market combines a product-led self-serve track (app.collinear.ai plus the simlab CLI distributed via the Daytona remote sandbox platform), enterprise field sales, and channel distribution through Google Cloud Marketplace. The company is SOC 2 Type II certified and operates across the United States (San Francisco and Sunnyvale), Australia, the UAE, and LATAM.

Name

Collinear AI

Legal name

Collinear AI

Website

https://collinear.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

11–50 employees

Short description

Collinear AI is a venture-backed company founded in 2024 that provides the Simulation Lab, a sandbox platform for training, testing, and evaluating AI agents through realistic multi-turn simulations, serving frontier AI labs, enterprise AI teams, and AI-native companies.

Ownership category

akta.pro rank

Product category

AI Agent Evaluation and Simulation Platform

NAICS

Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

akta.pro secondary industries

Safety, Alignment & Content Moderation (Guardrails, Red Teaming) (HDAAACAI), Safety & Alignment Evaluation (red-teaming, harmful capability testing) (HDAAAMAL), RLHF, Human Feedback & Evaluation Data Tools (HDAAALAJ), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)

Keywords

• AI agent simulation
• LLM evaluation platform
• Reinforcement learning environments
• AI safety alignment
• Conversational training data

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Simulation Lab Platform Subscription: SaaS platform subscription model providing access to the Simulation Lab for AI agent training, testing, and evaluation. Customers pay for compute resources and platform access to run simulations and generate training data
2. Enterprise Contracts and Custom Deployments: Custom enterprise agreements for F500 companies and AI labs requiring dedicated infrastructure, custom integrations, and specialized simulation environments

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels7 records

Core offering

Collinear AI sells Simulation Lab, a sandbox environment platform that runs AI agents through thousands of multi-turn, multi-tool simulated scenarios with realistic users, synthetic data, programmatic and rubric verifiers, and stateful tool servers. The platform produces verified training trajectories with structured reward signals usable for RL, DPO, or supervised fine-tuning of agents. Supporting modules (Flex Judge, VERITAS, CollinearGuard-Nano, Assess v2, Curator Evals, Conversation Builder, TraitBasis, YC-Bench/τ-Bench/τ-Trait) provide complementary evaluation, hallucination detection, safety moderation, persona generation, and benchmarking capabilities.

Product overview

Collinear AI offers Simulation Lab as its core product—a platform for training, testing, and evaluating AI agents through realistic multi-turn simulations. The platform comprises sub-products for Agent Hillclimbing (training data generation), Evaluation, and User Research. Supporting modules include Flex Judge (customizable quality evaluation), VERITAS (hallucination detection), CollinearGuard-Nano (safety moderation), Assess v2 (self-serve evaluation), Curator Evals (data curation benchmarking), and Conversation Builder (conversational data generation). TraitBasis generates steerable user personas for testing. The company also publishes open-source benchmarks including YC-Bench (long-horizon agent performance), τ-Bench and τ-Trait (behavioral trait testing), and offers Spider as a lightweight data recipe tool. Integration points include MCP server support, Matillion data orchestration embedding, and LiteLLM-compatible model providers.

Differentiator

Problem solved

Functional benefit

Brands

• Simulation Lab: AI Simulation Lab for Training Data & RL - an interactive playground where agents learn new skills and improve existing capabilities
• TraitBasis
• CollinearGuard
• VERITAS
• Flex Judge
• Curator Evals
• YC-Bench
• Assess
• Conversation Builder

Products and services

• Simulation Lab Interactive sandbox platform where AI agents run through multi-turn, multi-tool simulated scenarios with stateful tool servers, simulated users, programmatic and rubric verifiers; produces verified training trajectories usable for RL, DPO, or supervised fine-tuning. Sold to AI labs, enterprise AI teams, and AI-native companies via self-serve platform and enterprise contracts.
• SimLab for Agent Hillclimbing A Simulation Lab configuration focused on iterative evaluation and training-data generation to improve existing agent capabilities through repeated rollouts and reward-signal optimization. Used by AI labs and AI-native companies to hillclimb model performance.
• TraitBasis Data-efficient method using activation steering to generate high-fidelity, steerable simulated user personas with configurable traits (demographics, intents, personality, tasks) for testing AI agent robustness, fairness, and behavior under realistic human variation. Used across τ-Bench and τ-Trait benchmarks.
• Flex Judge LLM-as-a-judge evaluation tool that learns fine-grained quality criteria from as few as four human-annotated examples and adapts to dynamic scoring requirements; outperforms few-shot prompted GPT-4o baselines on BigGenBench and enterprise datasets.
• VERITAS Suite of hallucination detection models (440M, 3B, and 8B parameters) for identifying false or misleading LLM outputs across question answering, natural language inference, and dialogue formats; competes closely with GPT-4 on hallucination benchmarks at a fraction of the cost.
• CollinearGuard-Nano Lightweight LLM-as-a-judge model for automated safety moderation in production environments, covering prompt violation detection, response safety, false refusal detection, and refusal evaluation, with 10x faster latency and 17% performance gain versus competitors.
• Assess v2 Self-serve model evaluation suite for enterprise AI teams enabling automated benchmarking and evaluation of AI model quality, safety, and performance across deployed applications.
• Curator Evals Benchmarking and evaluation library that systematically measures the performance of data curators and reward models used in post-training of language models, enabling AI practitioners to select appropriate curators across model architectures.
• Conversation Builder Tool for generating and evaluating conversational training data with dual-mode User/Assistant interface, manual editing, regeneration with configurable model and sampling parameters, built-in judges, and conversation forking for exploring alternative dialogue paths.
• YC-Bench Open-source long-horizon benchmark for AI agents that simulates running an AI startup over a one-year horizon to test long-term planning, temporal discipline, and coherence capabilities of frontier AI models.
• High Quality Curated Data Pre-training data curation service that delivers high-quality curated datasets enabling enterprise customers to reduce pre-training data volume by up to 50% without performance degradation.
• Collinear Simulations Enterprise stress-testing service that mimics realistic personas and runs multi-turn conversations against AI systems to identify safety and reliability issues before production deployment.

Named customers10 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability8 records

Feature9 records

Partnerships

Nine partnerships are on record, tiered core, major and minor.

• Together AIcoreTechnology or Integration · 24 March 2026Deepened partnership with Together AI by integrating TraitBasis method for generating realistic simulated users into the Together Evals platform. YC-Bench open-source benchmark also integrated.
• Together AIcoreTechnology or Integration · 4 November 2025Integration partnership to integrate real-world multi-turn simulations into Together Evals platform, enabling builders to test AI models against realistic user behaviors including impatience, distraction, and inconsistency. TraitBasis framework was integrated into the Together Evals platform.
• HUMAIN (National AI Lab)majorStrategic or Co-development Partner · 23 October 2025State-backed AI lab in the Middle East used Simulation Lab to align frontier Arabic-English model family across 4 model sizes (7B, 13B, 34B, 70B) and 16 business domains. 55k+ simulations per model family, 10K+ issues identified in Arabic.
• ServiceNowcoreStrategic or Co-development Partner · 2 October 2025Collaboration with ServiceNow on the launch of Apriel-1.5-15B-Thinker model offering high reasoning capabilities. Joint research paper 'Cats Confuse Reasoning LLMs' accepted at CoLM 2025. ServiceNow uses Simulation Lab data to train models achieving frontier performance with 8x smaller models.
• Google CloudcoreChannel Partner/ Reseller/ Distributor · 25 August 2025Collinear AI available on Google Cloud Marketplace, enabling enterprises and frontier labs to access the company's AI safety and improvement platform through Google's procurement and infrastructure systems.
• MatillioncoreTechnology or Integration · 20 June 2025Partnership to embed Collinear's AI Judges framework into Matillion's data orchestration platform, enabling users to automatically evaluate GenAI-powered transformations at scale.
• Kore.aiminorStrategic or Co-development Partner · 20 June 2025CEO Nazneen Rajani delivered keynote at Kore.ai's annual conference re:imagine 2025 in Florida. Kore.ai uses Simulation Lab to train enterprise AI agents across industries and languages.
• MasterClasscoreStrategic or Co-development Partner · 22 April 2025Partnership to develop AI personas for MasterClass instructors through MasterClass On Call feature, using Chris Voss (former FBI hostage negotiator) as pilot case. Implemented custom quality judges, knowledge infusion through continual pre-training, and alignment fine-tuning.
• Amazon AGI LabsmajorStrategic or Co-development PartnerAmazon AGI Labs uses Collinear's Simulation Lab to scale red-teaming to strengthen safety of foundation models. Tested 1,000+ jailbreaks across multimodal text, image and video prompts.

Scale indicators10 records

Recent moves7 records

Expansion highlights7 records

Direct peers

• WhyLabs: AI observability platform with model performance, data drift, and LLM quality monitoring — closely comparable to Collinear's evaluation and observability stack for production AI agents.
• LangSmith (LangChain): Developer platform for debugging, testing, evaluating, and monitoring LLM applications — competes for the same AI engineering teams building agents that Collinear targets.
• Braintrust: Enterprise LLM evaluation and observability platform with custom scorers, datasets, and prompt iteration — competes with Collinear's evaluation and bespoke judge offerings for the same enterprise AI teams.
• Arize AI: Provides LLM and AI agent observability, evaluation, and monitoring for production systems — directly overlapping with Collinear's Simulation Lab for Evaluation and Assess v2 modules, and serving similar enterprise AI teams.
• Patronus AI: LLM evaluation and safety platform offering automated scoring, red-teaming, and hallucination detection — directly comparable to CollinearGuard-Nano, VERITAS, and Flex Judge.
• Galileo (Galileo Labs): Provides LLM evaluation, hallucination detection, and observability tooling for AI applications — overlapping directly with VERITAS, CollinearGuard-Nano, and Assess v2.
• Humanloop: LLM evaluation, prompt management, and AI observability platform targeting enterprise teams — competes directly with Collinear's evaluator and prompt/agent evaluation workflows.

Broad incumbents

• Scale AI: Dominant data labeling, evaluation, and red-teaming platform serving all major frontier AI labs and the U.S. government — overlaps with Collinear's evaluation, RL data generation, and red-teaming offerings but at vastly larger scale and breadth.

Emerging players

• Cleanlab: Data-centric AI platform for label quality, dataset evaluation, and reliability scoring — comparable to Curator Evals and the data-quality dimensions of Collinear's pipeline.
• DeepEval (Confident AI): Open-source LLM evaluation framework with metrics for hallucination, bias, and reasoning — competes at the developer/evaluation layer with Collinear's open-source benchmarks and Assess tooling.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/CollinearAI
• GitHubgithub.com/collinear-ai
• LinkedInlinkedin.com/company/collinearai

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Collinear AI