MathCo
Chicago/Bangalore enterprise AI and analytics company, ~2,000 employees, dual-HQ scale.
Founded 2016 | Chicago, IL, USA | 1,001–5,000 employees | Last updated: August 2026
data-analytics-agentsworkflow-integrationenterprise-automation
What is MathCo?
MathCo (formally TheMathCompany) was founded in 2016 and operates dual headquarters in Chicago, Illinois and Bangalore, India, with approximately 2,000 employees across five continents. A global enterprise AI and analytics company, it applies its data science and AI platform work to agentic AI, giving buyers a mid-large firm with genuine dual-continent leadership rather than a single offshore delivery center dressed up as a US company.
MathCo was founded in 2016 and is headquartered in Chicago, IL, USA. The firm employs 1,001–5,000 people and works primarily with clients in Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS sectors. Its primary differentiator is: Genuine dual headquarters (Chicago and Bangalore, not just a sales office over an offshore delivery center) at ~2,000-person scale..
MathCo tech stack and services
PythonLangChainAWSAzureDatabricksSnowflake
| Service area | Details |
|---|---|
| Enterprises wanting agentic AI bundled with a broader enterprise AI/analytics platform engagement | Available for Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS clients |
| Buyers wanting genuine dual-continent account leadership, not just offshore delivery | Available for Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS clients |
| Building analytical agents on top of an existing enterprise data platform | Available for Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS clients |
MathCo use cases
Short answer: MathCo is best suited for enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations..
| Use case | Industries | Approach |
|---|---|---|
| Enterprises wanting agentic AI bundled with a broader enterprise AI/analytics platform engagement | Financial Services, Retail & E-commerce | Python, LangChain |
| Buyers wanting genuine dual-continent account leadership, not just offshore delivery | Financial Services, Retail & E-commerce | Python, LangChain |
| Building analytical agents on top of an existing enterprise data platform | Financial Services, Retail & E-commerce | Python, LangChain |
MathCo pricing
Short answer: MathCo uses a retainer, dedicated team pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Retainer | Monthly rate; not public | Ongoing AI engineering |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
MathCo does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
MathCo pros and cons
| Advantages | Things to consider |
|---|---|
| +Genuine dual headquarters (Chicago, Bangalore) rather than a US sales front over offshore delivery | -Agentic AI is an application of a broader enterprise AI and analytics platform, not a standalone specialty |
| +A decade of enterprise AI and analytics history since 2016 | -Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| +~2,000 employees across five continents gives substantial bench depth | -Reported employee counts vary by source, worth confirming current headcount directly |
| +Existing enterprise data and AI platform work gives agentic use cases a mature foundation |
MathCo vs alternatives
How MathCo compares to the other top Agentic AI companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Vstorm | Buyers wanting a company whose entire practice is... | First AI consultancy accepted into the Agentic AI Foundation, with a named proprietary delivery framework (TriStorm) and standardized AGENTS.md documentation. | 4.6 | Full comparison |
| Tensorway | Companies that want a working agentic AI MVP... | Graph-based memory for multi-step reasoning plus a one-month path to a production MVP, without a platform overhaul. | 4.5 | Full comparison |
| Stride Consulting | Companies that want an autonomous agent to reason... | A named, demonstrable proprietary agent (the '100x agent') that autonomously maps, documents, and refactors legacy monoliths and generates its own tests. | 4.4 | Full comparison |
| Tribe AI | Enterprises wanting frontier-model expertise matched to their specific... | A platform-plus-vetted-network model that staffs each engagement with engineers matched to the specific AI use case. | 4.4 | Full comparison |
| Neurons Lab | Regulated financial-services organizations wanting agentic AI delivered by... | AWS Advanced Tier partner status with named financial-institution delivery experience at a boutique headcount. | 4.3 | Full comparison |
| RTS Labs | Mid-market and enterprise teams that have an AI... | Architecture-and-guardrails focus aimed specifically at the pilot-to-production gap, not just initial prototyping. | 4.2 | Full comparison |
| LatentView Analytics | Buyers wanting agentic AI from a publicly traded... | Publicly traded (NSE) status gives buyers financial transparency uncommon among firms of similar scale in this niche. | 4.2 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises that want agentic AI delivered... | Public-company scale (Nasdaq: GDYN) combined with an explicit, named agentic AI practice. | 4.1 | Full comparison |
| Centific | Enterprises wanting agentic AI built on top of... | An AI data foundry specialization — data pipeline and curation infrastructure for training and deploying AI at scale — feeding directly into agentic AI delivery. | 4.0 | Full comparison |
| Markovate | Product teams that already have a generative-AI roadmap... | Generative AI and LLM development as the core practice, with agent work built as a natural extension rather than a separate offering. | 4.0 | Full comparison |
| Azumo | US companies that want nearshore-priced engineering with named... | Explicit, named production experience with LangGraph, CrewAI, and Microsoft AutoGen for multi-agent orchestration. | 4.0 | Full comparison |
| Accenture | Large multinational enterprises needing agentic AI embedded into... | Unmatched global scale and named strategic partnerships (OpenAI, Microsoft/Avanade) for enterprise-wide agentic AI rollouts. | 4.0 | Full comparison |
| Cognizant | Large regulated enterprises needing agentic AI delivered as... | Enterprise-scale AI-led automation (Cognizant Neuro) backed by a 340,000-person global delivery organization. | 3.9 | Full comparison |
| IBM Consulting | Large enterprises already using or considering IBM's watsonx... | Combines its own agent orchestration platform (watsonx Orchestrate) with enterprise consulting and implementation at global scale. | 3.9 | Full comparison |
| Kanerika | Organizations that want agentic AI built on top... | Data-integration and analytics heritage means agents are built directly on top of governed data pipelines, not bolted on separately. | 3.9 | Full comparison |
| Master of Code Global | Brands that need customer-facing conversational agents built by... | Twenty years of conversational AI and chatbot delivery history predating the current agentic AI wave. | 3.9 | Full comparison |
| Matellio | Enterprises that want agentic AI folded into a... | Combines AI/agent development with broader enterprise cloud application engineering under one roof. | 3.8 | Full comparison |
| Deviniti | Enterprises already on the Atlassian ecosystem that want... | Two decades of enterprise systems-integration work, including deep Atlassian-ecosystem expertise, applied to agent workflow integration. | 3.8 | Full comparison |
| Azilen Technologies | Enterprises wanting a full spectrum of agent complexity,... | Covers the full agent complexity spectrum — single-task through multi-agent architectures — under one product-engineering practice. | 3.8 | Full comparison |
| N-iX | Large enterprises that want agentic AI delivered alongside... | Scale (2,400+ engineers) and a two-decade track record across cloud, data, and embedded systems, with AI/agent work layered on top. | 3.8 | Full comparison |
| Innowise | Enterprises wanting agentic AI bundled with large-scale custom... | Full-cycle software development scale (3,500+ engineers) applied to agentic AI as an extension of a broad existing practice. | 3.7 | Full comparison |
| Netguru | Buyers wanting design and engineering bundled under a... | Bundles product design and engineering under one contract, avoiding the separate UX vendor gap common with AI-only specialists. | 3.7 | Full comparison |
| Ideas2IT | Enterprises wanting agentic AI from a mid-large product... | Product engineering scale (800+ employees) combined with an explicit AI-and-innovation practice positioning. | 3.7 | Full comparison |
| EffectiveSoft | Enterprises wanting agentic AI from a long-established custom... | Quarter-century of enterprise custom software delivery history combined with a dedicated, named agentic AI development service line. | 3.7 | Full comparison |
| *instinctools | Fortune 500 and large enterprise clients wanting agentic... | A quarter-century of engineering history serving Fortune 500 clients, with dual German and US headquarters for transatlantic delivery. | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting multi-agent business-process automation from an... | Explicit specialization in multi-agent collaborative systems for business process optimization at an India-based cost point. | 3.6 | Full comparison |
| LeewayHertz | Enterprises wanting multi-agent system design with deep ERP/CRM... | Deep multi-agent architecture and orchestration-framework selection experience, now combined with The Hackett Group's enterprise consulting network post-acquisition. | 3.6 | Full comparison |
| Softermii | Product teams wanting agentic AI folded into a... | Full-cycle web and mobile application development discipline applied to agent-powered product features. | 3.6 | Full comparison |
| DevCom | Companies wanting agentic AI handled with the same... | Full-lifecycle software delivery discipline — planning through production support — applied to agentic AI projects. | 3.6 | Full comparison |
| Intuz | Budget-conscious teams wanting production-grade multi-agent systems with real... | Named production experience across four agent frameworks (LangGraph, CrewAI, AutoGen, n8n), including observability and guardrails as standard. | 3.6 | Full comparison |
| Cogniteq | Cost-conscious buyers wanting a boutique European team for... | Boutique full-cycle development shop with two decades of Baltic-region delivery history at a lower cost base than Western European or US firms. | 3.6 | Full comparison |
| Codebridge Technology | Teams already running a .NET or web stack... | .NET and web development specialization applied to agentic AI, aimed at teams already standardized on that stack. | 3.6 | Full comparison |
| Riseup Labs | Startups and budget-constrained teams needing a lower-cost entry... | South Asian cost base combined with 15+ years of IT services history, aimed at budget-conscious agent projects. | 3.6 | Full comparison |
| Uvik Software | Smaller teams and startups that want senior Python... | Python-and-Django engineering depth carried directly into AI and agent development, at boutique scale. | 3.6 | Full comparison |
MathCo FAQ
What is MathCo?
MathCo (formally TheMathCompany) was founded in 2016 and operates dual headquarters in Chicago, Illinois and Bangalore, India, with approximately 2,000 employees across five continents. A global enterprise AI and analytics company, it applies its data science and AI platform work to agentic AI, giving buyers a mid-large firm with genuine dual-continent leadership rather than a single offshore delivery center dressed up as a US company.
How much does MathCo charge?
MathCo uses retainer, dedicated team pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does MathCo use?
MathCo works with Python, LangChain, AWS, Azure, Databricks, Snowflake. Primary industries served include Financial Services, Retail & E-commerce, Manufacturing, Technology & SaaS.
Is MathCo right for enterprise?
Enterprises wanting agentic AI from a dual-headquartered US/India analytics firm with genuine leadership in both locations.. 1,001–5,000 team size. Key consideration: Agentic AI is an application of a broader enterprise AI and analytics platform, not a standalone specialty.
What are the best MathCo alternatives?
The best alternatives to MathCo depend on your use case. Top options are:
- Vstorm: first ai consultancy accepted into the agentic ai foundation, with a named proprietary delivery framework (tristorm) and standardized agents.md documentation.
- Tensorway: graph-based memory for multi-step reasoning plus a one-month path to a production mvp, without a platform overhaul.
- Stride Consulting: a named, demonstrable proprietary agent (the '100x agent') that autonomously maps, documents, and refactors legacy monoliths and generates its own tests.
Compare MathCo with other Agentic AI companies
MathCo vs Vstorm MathCo vs Tensorway MathCo vs Stride Consulting MathCo vs Tribe AI MathCo vs Neurons Lab MathCo vs RTS Labs MathCo vs LatentView Analytics MathCo vs Grid Dynamics MathCo vs Centific MathCo vs Markovate MathCo vs Azumo MathCo vs Accenture MathCo vs Cognizant MathCo vs IBM Consulting MathCo vs Kanerika MathCo vs Master of Code Global MathCo vs Matellio MathCo vs Deviniti MathCo vs Azilen Technologies MathCo vs N-iX MathCo vs Innowise MathCo vs Netguru MathCo vs Ideas2IT MathCo vs EffectiveSoft MathCo vs *instinctools MathCo vs Signity Solutions MathCo vs LeewayHertz MathCo vs Softermii MathCo vs DevCom MathCo vs Intuz MathCo vs Cogniteq MathCo vs Codebridge Technology MathCo vs Riseup Labs MathCo vs Uvik Software
Last reviewed: August 2026. Verify all details directly with MathCo before making a decision.