Math
Math, Inc. is a Palo Alto-based AI company that builds Gauss, an autonomous agent translating natural language mathematical proofs into verified Lean 4 code, serving research mathematicians, proof engineers, and AI labs via open-source tools and Veritas Fellowships with Fields Medalists.
- Company typePrivate
- Founded2023
- HeadquartersPalo Alto, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Math does
Math, Inc. is a Palo Alto-based AI company founded in 2023 that builds autoformalization technology, software that translates natural language mathematical proofs into machine-verifiable Lean 4 code. Its flagship product, Gauss, is described as a first-of-its-kind autonomous agent that operates continuously for hours and has produced verified formalizations at unprecedented scale, including the Fields Medal-winning sphere packing proof in dimensions 8 and 24 (~200,000 lines of Lean code in three weeks) and the Strong Prime Number Theorem (~25,000 lines in three weeks). Supporting products include OpenGauss, an open-source autoformalization harness for Lean 4 available on GitHub; FormalQualBench, a benchmark of 23 graduate-level theorems with specification-based evaluation via the Comparator tool; and Trinity Environments infrastructure built with Morph Labs to scale Lean verification to thousands of concurrent agents consuming multiple terabytes of cluster RAM.
The company serves three customer personas: research mathematicians (primary), proof engineers, and AI research organizations. Distribution relies on a community-led, product-led model: open-source GitHub repositories, a selective email-based early access program for Gauss, and the Veritas Fellowships research program partnering with Fields Medalists Terence Tao and Maryna Viazovska along with Kevin Buzzard on landmark formalizations including Fermat's Last Theorem and universal optimality of the Leech lattice. Pricing is not publicly disclosed; the only confirmed capital inflows are DARPA expMath program support, a $0 Torch Capital line item in 2025, and a $15 million seed round in March 2026 led by Chapter One and Robot Ventures. The company operates with 1–10 employees and has no disclosed revenue.
Math firmographics
Firmographics- Name
- Math
- Legal name
- Math, Inc.
- Website
- https://math.inc
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Math, Inc. is a Palo Alto-based AI company that builds Gauss, an autonomous agent translating natural language mathematical proofs into verified Lean 4 code, serving research mathematicians, proof engineers, and AI labs via open-source tools and Veritas Fellowships with Fields Medalists.
- Ownership category
- akta.pro rank
Math industry classification
Industry- Product category
- AI Formal Verification Software
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design Services (541512)
- SIC
- Services-Computer Programming Services (7371)
- akta.pro primary industry
- Model Testing, Validation & Quality Assurance (HDAAABAH)
- akta.pro secondary industry
- Fine-Tuning, Adaptation & Custom Model Training (PEFT/LoRA/RLHF) (HDAAACAC)
Keywords
Where Math is headquartered
LocationHeadquarters
- HQ city
- Palo Alto
- HQ country
- United States
- HQ region
- North America
Markets served
Math business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations
Revenue model
- AI Autoformalization Tools: Math, Inc. generates revenue through proprietary AI tools for mathematical formalization. The company offers Gauss as a frontier autoformalization agent with priority access for Veritas Fellows, and provides underlying verification environments infrastructure. Early access program suggests a potential subscription or usage-based model for enterprise and academic customers.
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Math product offering
Product offeringCore offering
Math, Inc. builds Gauss, a frontier AI autoformalization agent that autonomously translates natural language mathematical proofs into verified Lean 4 code. The company also offers OpenGauss, an open-source autoformalization harness for Lean, the FormalQualBench benchmark for evaluating autoformalization agents, and the Trinity verification infrastructure developed with Morph Labs to scale Lean environments to thousands of concurrent agents.
Product overview
Math, Inc. offers a unified product portfolio centered on Gauss, a frontier autoformalization agent for mathematical proof verification. Gauss operates autonomously to translate natural language mathematics into verified Lean 4 code. Supporting this core agent are OpenGauss (an open-source harness version for practitioners), FormalQualBench (a benchmark and evaluation framework for the formal mathematics community), and the Veritas Fellowships research program partnering with Fields Medalists. The Trinity environments infrastructure, built with Morph Labs, provides the scalable cloud infrastructure enabling thousands of concurrent verification agents. The portfolio enables formalization at unprecedented scale—from 3,500 lines in June 2025 to 200,000 lines in February 2026—while maintaining the same wall-clock time.
Differentiator
Problem solved
Functional benefit
Brands
- Gauss: First-of-its-kind autoformalization agent for assisting human expert mathematicians at formal verification.
- OpenGauss
- FormalQualBench
- Veritas Fellowships
Products and services
- Gauss Frontier autoformalization agent that autonomously translates natural language mathematical proofs into verified Lean 4 code. Works continuously for hours, compressing formalization timelines from months/years to weeks.
- OpenGauss Open-source autoformalization harness for Lean 4 that enables state-of-the-art proof automation. Stronger, faster, and more cost-efficient than off-the-shelf alternatives for proof engineers and practitioners.
- FormalQualBench Benchmark containing 23 graduate-level theorems formalized in Lean 4 for evaluating autoformalization agents. Introduces specification-based evaluation using the Comparator tool to enforce stronger correctness standards.
- Trinity Environments Infrastructure Scalable Lean verification environments infrastructure developed in partnership with Morph Labs. Enables thousands of concurrent agents, each with its own Lean runtime, consuming multiple terabytes of cluster RAM.
Quantifiable outcome
- 200,000 lines of Lean code produced in 3 weeks (sphere packing problem)
- +3 more outcomes
Companies that use Math
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles3 records
Math technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability4 records
Feature5 records
Math partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- Morph LabscorePartnership with Morph Labs for Trinity environments infrastructure, developed in collaboration with Morph Labs' cloud platform. This infrastructure scales Lean verification environments to thousands of concurrent agents, each with its own Lean runtime, consuming multiple terabytes of cluster RAM. Infinibranch on Morph Cloud was critical for enabling Gauss to operate at scale.
- Lean Community / Mathlib MaintainerscoreCollaboration with the Lean mathematical library community, including Mathlib maintainers and the Institute for Computer-Aided Reasoning in Mathematics. This includes collaboration on sphere packing formalization with maintainers Chris Birkbeck, Sidharth Hariharan, Seewoo Lee, Bhavik Mehta, and others, as well as support from Kevin Buzzard, Jeremy Avigad, David Loeffler, Gareth Ma, Pietro Monticone.
Scale indicators6 records
Recent moves6 records
Expansion highlights7 records
Math competitors and assessment
Company assessmentDirect peers
- Harmonic: Harmonic builds Aristotle, an AI agent for formal mathematical reasoning in Lean, the closest direct competitor to Math's Gauss/OpenGauss. Aristotle is benchmarked head-to-head on FormalQualBench.
Broad incumbents
- Google DeepMind: DeepMind pursues formal mathematics through AlphaProof and the Formal Conjectures benchmark, applying frontier AI to Lean-level reasoning. While a much larger organization, it overlaps directly on AI-for-formal-math.
- xAI: Mentioned in restructuring context (founding-team departures including Tony Wu and Jimmy Ba); a frontier AI lab that could pursue formal math as an extension of its reasoning research, indirectly competing with Math's long-term vision.
- Anthropic: Anthropic's Claude Code, including MCP and Skills variants, is benchmarked on FormalQualBench as a baseline harness. As Claude improves, Anthropic could ship native formal-math capabilities that compress Math's lead.
- OpenAI: OpenAI develops Codex, which appears in FormalQualBench results and represents a frontier LLM alternative to specialized autoformalization agents. Any first-party formal-math tooling from OpenAI would directly compete with Gauss.
Emerging players
- Cambridge / Imperial Lean Research Groups: Academic Lean research groups (including Kevin Buzzard's group at Imperial) have historically driven Mathlib and now collaborate with Math through Veritas Fellowships. They are simultaneously collaborators and potential sources of competing formalization tooling.
Others
- Lean Community / Mathlib Maintainers: The open-source Lean prover and Mathlib library are the foundation that Math's products are built on and Math actively contributes to. While not a commercial competitor, this community sets platform direction and governance.
- Institute for Computer-Aided Reasoning in Mathematics: Academic institute collaborating with Math on Mathlib and sphere packing formalization; represents the broader academic formal-math ecosystem that Math both draws from and contributes to.
- DARPA (expMath program): The Defense Advanced Research Projects Agency funds Math through the expMath program, validating the technology and providing a potential channel into defense formal-verification applications.
- Morph Labs: Morph Labs provides the Morph Cloud infrastructure that powers Trinity Environments, Math's scalable Lean verification infrastructure. A deep technology partner with potential to expand into adjacent formal-verification workloads.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Math social profiles
Digital presenceMath financial estimates
Financial estimateRevenue estimate
Valuation estimate
Math leadership team
Management profileNumber of profiles
Profiles2 records
Math funding detail
Funding detailFunding overview
Funding rounds2 records
Investors3 records
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Math M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Math
What does Math do?
Math, Inc. builds Gauss, a frontier AI autoformalization agent that autonomously translates natural language mathematical proofs into verified Lean 4 code. The company also offers OpenGauss, an open-source autoformalization harness for Lean, the FormalQualBench benchmark for evaluating autoformalization agents, and the Trinity verification infrastructure developed with Morph Labs to scale Lean environments to thousands of concurrent agents.
Is Math a public or private company?
Math is a private company. It is classified as venture growth investor backed and is currently operating.
When was Math founded?
Math was founded in 2023. It employs 1 to 10 people.
Where is Math based?
Math is headquartered in Palo Alto, United States, in the North America region.
How does Math make money?
One revenue line is on record: AI Autoformalization Tools.
Who are Math's main competitors?
Harmonic is listed as a direct peer. Broad incumbents are Google DeepMind, xAI, Anthropic and OpenAI. Cambridge / Imperial Lean Research Groups is listed as an emerging player. Others are Lean Community / Mathlib Maintainers, Institute for Computer-Aided Reasoning in Mathematics, DARPA (expMath program) and Morph Labs.
Does Math have an API?
No public API is recorded for Math.
What industry is Math in?
Math's product category is AI Formal Verification Software. Its primary akta.pro industry code is HDAAABAH, Model Testing, Validation & Quality Assurance, with a secondary code of HDAAACAC, Fine-Tuning, Adaptation & Custom Model Training (PEFT/LoRA/RLHF). Its NAICS code is 541511 and its SIC code is 7371.