AI mathematical reasoning engine built on formal verification and theorem proving
Harmonic is a Palo Alto startup building an AI system for mathematical reasoning, with proof assistants Coq and Agda sitting alongside PyTorch, JAX, CUDA, Triton and NCCL in its stack. That pairing, plus Slurm, Kubeflow and multi-cloud AWS/Azure/GCP, points to large-scale reinforcement learning over formal proofs. Accelerating, engineering-led hiring centers on RL throughput, inference latency and turning research into product.
Harmonic is a privately held company headquartered in Palo Alto, California, with 11–50 employees. It develops an AI engine focused on advanced mathematical reasoning, applying theorem proving to software and hardware verification. The team spans engineering, research and product, and hires in the United States and United Kingdom. Its platform combines a Python and C++ ML research stack with TypeScript and React for its user-facing flagship product.
Harmonic uses Python, C++, PyTorch, JAX, CUDA, Triton and NCCL for ML, Coq and Agda for formal proofs, Kubernetes, Slurm and Airflow for infrastructure, and TypeScript and React on the frontend across AWS, Azure and GCP.
Yes. Hiring is accelerating and led by engineering, with research and product roles too, mostly at mid and senior levels, across the United States and United Kingdom.
Harmonic is building reinforcement learning training infrastructure, AI theorem proving for software and hardware verification, and backend services and scalable APIs for its flagship product.
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Harmonic's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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