Developer docs
API playgroundTry for free, no card

Search company profiles

Math

Full company profile

uuid00stjra

Namestring
Math
Legal namestring
Math, Inc.
Websiteurl
math.inc
Company typeenum
Private
Founded yearint
2023
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersPalo Alto, United States
HQ citystring
Palo Alto
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
autoformalization software, formal verification tools, AI proof assistant, Lean 4 formalization, mathematical AI agents
Industry2 codes
1Model Testing, Validation & Quality Assurance
CodeHDAAABAHPrimaryYes
2Fine-Tuning, Adaptation & Custom Model Training (PEFT/LoRA/RLHF)
CodeHDAAACACPrimaryNo
NAICS code2 codes
  • Custom Computer Programming Services541511
  • Computer Systems Design Services541512
SIC code1 code
  • Services-Computer Programming Services7371
Product category
AI Formal Verification Software
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1AI Autoformalization Tools
TypeSubscription Recurring
Description

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.

thehindu.com
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Technology or R&D, Personnel, Infrastructure, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 4 records shown
1Gauss
Description

First-of-its-kind autoformalization agent for assisting human expert mathematicians at formal verification.

math.inc
+3 more records
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • 200,000 lines of Lean code produced in 3 weeks (sphere packing problem)
+3 more records
Product overview1 text field

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.

Product and service4 records
1Gauss
CategoryCore product
Description

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.

2OpenGauss
CategoryOpen-source product
Description

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.

3FormalQualBench
CategoryBenchmark/evaluation tool
Description

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.

4Trinity Environments Infrastructure
CategoryInfrastructure
Description

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.

Scale indicator6 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeTechnology or Integration
Description

Partnership 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.

Strategic tierCoreTypeTechnology or Integration
Description

Collaboration 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.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

6Cambridge / Imperial Lean Research Groups
TypeEmerging player
Description

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.

TypeOthers
Description

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.

TypeOthers
Description

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.

TypeOthers
Description

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.

TypeOthers
Description

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

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers3 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration2 records

Each record includes

Title, Type, Description, Source

AI capability4 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors3 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Math

AI Formal Verification Softwaremath.inc

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.

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

  • Autoformalization software
  • Formal verification tools
  • AI proof assistant
  • Lean 4 formalization
  • Mathematical AI agents

Where Math is headquartered

Location

Headquarters

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

  1. 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 offering

Core 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 profile

Named customers3 records

Segments3 records

Ideal customer profiles3 records

Math technology and API

Technology

Technology 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 signal

Partnerships

Two partnerships are on record, tiered core.

  • Morph LabscoreTechnology or IntegrationPartnership 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 MaintainerscoreTechnology or IntegrationCollaboration 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 assessment

Direct 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 presence

Math financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Math leadership team

Management profile

Number of profiles

Profiles2 records

Math funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Math M&A and investment

M&A and investment

M&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.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales
Live signals