Polymath
We’re heading towards a future where AI agents will be able to perform useful work over long horizons, with little or no human supervision. To increase the reliability, performance, and safety of autonomous agents, they must be trained in simulation environments that reflect the real world. Polymath builds simulated worlds for agents to practice and learn through experience. We're a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-t
Y Combinator
yc-company-directory #5896We’re heading towards a future where AI agents will be able to perform useful work over long horizons, with little or no human supervision. To increase the reliability, performance, and safety of autonomous agents, they must be trained in simulation environments that reflect the real world. Polymath builds simulated worlds for agents to practice and learn through experience. We're a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-t
sourcePolymath is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Polymath
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Zibra Labs
match 60We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Our mission is to bring frontier-grade infrastructure to everyone. We're starting by building large scale high performance computing (HPC) clusters for quantitative trading firms to run parallel simulation workloads such as backtesting. Our technology generalizes to critical AI workloads such as post-training with reinforcement learning, fine-tuning, long-horizon agents with high tool
shared product terms: re, long, horizon, performance; same category: AI agents; shared affiliation: Y Combinator
Solidroad
match 44Solidroad builds AI agents for CX teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels. By starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap. Since launching last summer, we’ve reduced onboarding times by 50% at several of the world’s large
shared product terms: human, performance, train, environment; same category: AI agents; shared affiliation: Y Combinator
ProjectX
match 44Every computer ever made forces you to do one thing at a time. One cursor. One keyboard. One Hardware. One app in focus. Fifty years. Nobody questioned it. We did. We started over. We built InfinityOS, a fundamentally new computer OS on the cloud from ground up. Infinity runs every app in its own independent computer -- own GPU, own input, own environment. Windows and Linux in the same session. Humans and agents working side by side. No concurrency ceiling. Cold start in seconds. runs on the bro
shared product terms: over, no, human, environment; same category: AI agents; shared affiliation: Y Combinator
Wildfire
match 41We started Wildfire during our senior year at UC Berkeley as a safety alert app for colleges. Wildfire quickly grew beyond a campus safety tool to a social news app, which empowered people to spread the word quickly to their community when something significant happened nearby. Over six years, we've sent 65 million alerts to nearly 1 million users.
shared product terms: year, uc, berkeley, safety; shared affiliation: Y Combinator
Ooak Data
match 36The promise of AI agents is still unmet in complex, real-world business environments. Our mission is to make it possible for agents to reliably accomplish concrete and useful tasks. That’s why we're building **Alexandria,** the world's largest library of real-world business workflow datasets.
shared product terms: real, environment, useful, re; same category: AI agents; shared affiliation: Y Combinator
Aster
match 36Aster is the first autonomous research lab — thousands of AI research agents orchestrated in parallel toward a single goal. We're on a mission to automate open-ended research: research that defines its own problems before it can answer them. The future doesn't wait to be defined by benchmarks. Neither do we.
shared product terms: autonomou, toward, re, future; same category: AI agents; shared affiliation: Y Combinator