What Halluminate does
We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce) Halluminate offers a suite of products and services to address both these issues. Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI. Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance. Our customers see - Improved browser- and computer-use agent performance - New and emergent frontier agent capabilities - Data driven prioritization leading to exponentially faster development speed - Increased revenue/sales via marketing from public benchmarks Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space. Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.
1 open role
What the role involves
Halluminate is an applied AI and data company working with frontier Labs (ex. OpenAI, Anthropic, etc) to train Financial Services Super Intelligence. We do this by building high quality computer and tool-use RL (Reinforcement Learning) gyms to train AI agents that do work across financial services verticals. (ex. excel modeling, powerpoint creation and more in Investment Banking, Private Equity, Hedge Funds, etc.) The company recently graduated from YCombinator (S25) and raised a seed round to scale their team and support growth. Halluminate is looking to hire Founding Members of Technical Staff to own platform engineering, develop frontier long-horizon RL environments, and help build our engineering org from the ground up. The responsibilities of this role include: Building software to 10-100x the quality and throughput of RL environment creation Create platform analytics to track data on our RL environment costs, hours, bottlenecks, and subject matter expert management Crafting domain-specific verifiers for financial services verticals and beyond (ex. verifiable rewards for powerpoint building, excel modeling, quantitative trading) Research and develop next-generation RL environments that are increasingly realistic, long-horizon, and difficult for frontier models. Establish engineering culture and practices from the ground up Necessary Skills Include: Familiarity building evaluation / benchmark / RL for AI agents Smart usage of AI coding tools like Claude Code, Cursor, Windsurf, etc. while also implementing best practice testing / code quality attention to detail Startup Speed: Iterate quick, ask questions quick, respond to messages quick, make mistakes quick Product / user ownership, ability to prioritize between a large roadmap of features Client-facing capabilities - you need to be comfortable talking to users/customers Nice To Have: Research backgrounds (ex. training models, publishing papers) Experience with early-stage startups Previous experience working with data companies (ex. Surge, Mercor, Handshake) Side projects involving AI Agents / RL ⚕️ Benefits Fully covered healthcare coverage for yourself and dependents (Medical, Dental, Vision) Relocation Stipend ($10k)
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.