Harmonic provides an AI‑driven platform that combines symbolic computation, neural theorem proving, and a curated mathematical knowledge graph to generate step‑by‑step solutions, proof strategies, and result verification across many domains. Users can access the service via a web interface or API, receiving natural‑language explanations alongside formal derivations, which speeds up research, engineering analysis, and advanced education.
Funding
$160M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+3Founders
Product
Problem
Mathematicians, engineers, and students often spend extensive time solving complex equations, proving theorems, or verifying calculations, and existing tools provide limited automated reasoning or require deep expertise to operate.
Solution
Harmonic offers an AI-driven platform that delivers advanced mathematical reasoning and problem‑solving capabilities. By combining symbolic computation, neural theorem proving, and large‑scale mathematical knowledge graphs, the system can generate step‑by‑step solutions, suggest proof strategies, and verify results across a wide range of domains. Users interact through a web interface or API, receiving explanations in natural language alongside formal derivations, enabling faster insight and reduced manual effort. The platform continuously learns from user feedback and newly published research to stay current with evolving mathematical methods.
Target Audience
Primary users are researchers, engineers, and advanced students who require automated assistance for complex mathematical analysis, as well as educational institutions seeking interactive problem‑solving tools.
Features
- Symbolic engine that manipulates algebraic expressions, integrals, differential equations, and matrix operations
- Neural theorem prover that constructs formal proofs for statements in calculus, linear algebra, and discrete mathematics
- Natural‑language explanation layer that translates formal steps into human‑readable commentary
- API and SDK for integration with scientific computing environments, educational platforms, and research workflows
- Knowledge graph of peer‑reviewed theorems and definitions that informs solution strategies and ensures mathematical rigor