Insights

Trusted data foundation Matchbook AI specializes in cleaning, matching, enriching, and continuously updating disparate business data across CRM, ERP, data platforms, and external sources, creating a trusted data layer that enables faster decision making and stronger AI readiness—a compelling value proposition for organizations looking to improve analytics and operations.

AI readiness uplift By delivering clean and consistent data, Matchbook AI positions itself as a strategic enablement partner for AI initiatives, appealing to enterprises prioritizing AI adoption, data governance, and risk reduction across analytics, ML workloads, and automated reporting.

Mid-market expansion With a modest headcount and revenue in the multi‑million range, Matchbook AI appears poised to target mid‑market to enterprise segments that need data unification across multiple systems, presenting an opportunity to offer scalable data quality solutions and managed services.

Strategic hires Recent leadership and team additions, including board and services personnel, signal a focus on governance, customer success, and enterprise deployments, suggesting sales opportunities around large-scale data integration programs and long‑term partnerships.

Cross‑sell potential Existing capabilities to connect with CRMs, ERPs, data platforms, and external data sources create opportunities to cross‑sell with adjacent data management products, data governance tools, and analytics platforms to expand footprint within current clients and use cases.

Similar companies to Matchbook AI

Matchbook AI Tech Stack

Matchbook AI uses 8 technology products and services including Linkedin Insight Tag, WordPress, Azure DevOps, and more. Explore Matchbook AI's tech stack below.

Matchbook AI's Email Address Formats

Matchbook AI uses at least 6 email formats:
Matchbook AI Email FormatsExamplePercentage
FLast@matchbookai.comJDoe@matchbookai.com
92%
First@matchbookai.comJohn@matchbookai.com
8%
FLast@matchbookservices.comJDoe@matchbookservices.com
53%
First@matchbookservices.comJohn@matchbookservices.com
28%
FirstLast@matchbookservices.comJohnDoe@matchbookservices.com
10%
First.Last@matchbookservices.comJohn.Doe@matchbookservices.com
9%

Frequently Asked Questions

What is Matchbook AI's official website and social media links?

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Matchbook AI's official website is matchbookai.com and has social profiles on LinkedIn.

How much revenue does Matchbook AI generate?

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As of August 2026, Matchbook AI's annual revenue is estimated to be $10M - $25M.

What is Matchbook AI's NAICS code?

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Matchbook AI's NAICS code is 5112 - Software Publishers.

How many employees does Matchbook AI have currently?

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As of August 2026, Matchbook AI has approximately 38 employees across 3 continents, including Asia, North America and Oceania. Key team members include Chief Technology Officer: S. S., Vp Of Engineering Data, Ml & Ai: N. P. and Assistant Vice President, Global Strategy And Operations: S. T. Explore Matchbook AI's employee directory with LeadIQ.

What industry does Matchbook AI belong to?

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Matchbook AI operates in the Software Development industry.

What technology does Matchbook AI use?

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Matchbook AI's tech stack includes Linkedin Insight Tag, WordPress, Azure DevOps, Shopify, Google Cloud, Asana, Elasticsearch and KnowBe4.

What is Matchbook AI's email format?

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Matchbook AI's email format typically follows the pattern of FLast@matchbookai.com. Find more Matchbook AI email formats with LeadIQ.

When was Matchbook AI founded?

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Matchbook AI was founded in 2018.
Matchbook AI logo

Matchbook AI

Software DevelopmentCalifornia, United States11-50 Employees

Matchbook AI is a small to mid-sized software company based in Santa Monica, California. It helps large organizations turn scattered data from customers, vendors, suppliers, partners, and accounts into a cohesive, reliable information layer. When data travels across multiple systems, it can become duplicated, outdated, incomplete, or inconsistent, creating barriers to AI, analytics, and everyday decision making.

The company achieves this by cleaning, matching, enriching, organizing, and continuously updating critical data across the systems organizations already rely on, including CRMs, ERPs, data platforms, and external sources. This approach is intended to enable faster workflows, better decisions, improved AI readiness, and reduced manual work for teams operating within complex data environments; notable leadership updates in 2021 included a board appointment.

Section iconCompany Overview

NAICS Code
5112 - Software Publishers
Founded
2018
Employees
11-50

Section iconFunding & Financials

  • $10M - $25M

    Matchbook AI's revenue is estimated to be in the range of $10M - $25M

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