Alice, formerly ActiveFence, sells AI safety and security training datasets, agentic RL environments, and expert-led red teaming and evaluations to foundation model labs; it also sells WonderSuite guardrail software to enterprises and content moderation to online platforms.
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What they offer
Domain
Data sources1
Archal sells resettable API sandboxes that mimic third-party software services, giving AI developers and software teams repeatable environments to test, evaluate, and train agents without using live accounts.
Builds simulated, workflow-based environments and benchmarks, plus a runtime and managed post-training service, for AI labs and developers training and evaluating agents.
Chakra Labs builds expert-authored tasks, graders and computer-use environments for training and evaluating AI models. Its off-the-shelf and bespoke task sets cover finance, legal work, responsible AI and computer use.
Deeptune builds simulated workplace-software environments, bundled with tasks, datasets and infrastructure, where frontier AI labs train agents to carry out multi-step digital work. Mercor acquired Deeptune in July 2026.
G2i supplies coding post-training data to AI labs (RL environments, evals, RLHF preference data, SFT datasets, scrubbed seed data) through managed projects or contract engineers placed on lab teams. It also runs an engineer hiring platform and tech conferences.
Matrices sells realistic simulated computer-use environments to AI labs, where multimodal agents practice browser and workplace tasks through reinforcement learning without real-world side effects.
ReadySolve licenses MartechBench, an enterprise marketing-workflow environment for reinforcement learning and evaluation. Agents operate connected business systems with deterministic task verification; buyers receive runtime materials and can commission model benchmarks.
Scale sells AI labs and businesses custom training data, human feedback, annotation, RL environments, and model evaluations, alongside software to build, test, and deploy AI agents and applications.
Sticker builds reinforcement learning environments and benchmarks for training and evaluating AI agents on procurement work, including backorders, purchasing policies and mismatched invoices, for teams post-training models. It previously built and ran procurement infrastructure for businesses.
Vibrant Labs builds RL-ready simulated environments, training tasks, and benchmarks for AI labs and developers working on long-horizon agents, including agents that use browsers, computers, or enterprise tools.
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