Matchbook AI, a leader in intelligent business data mastering, is proud to announce its designation as a 

. This milestone reflects Matchbook AI's seamless integration with the Databricks Data Intelligence Platform, support for Delta Sharing and its mission to help organizations unify, match, and enrich enterprise data with speed and precision.

Matchbook AI's native offering on Databricks—and availability through the 

—enables teams to streamline entity resolution and enrichment directly within their lakehouse environment. Databricks Marketplace is an open marketplace for all your data, analytics and AI, powered by open source Delta Sharing standard.

Whether onboarding new data, resolving duplicates, or enhancing data with external sources, Matchbook AI empowers data engineers and analysts to work confidently with trusted, enriched business entity data.

The Matchbook AI Connector for External Data on Databricks includes:

Native support for high-scale entity resolution

, match, merge, and golden record creation

Configurable rules-based auto-acceptance logic

 with third-party referential data providers

 for match outcomes and enrichment lineage

Seamless distribution via Databricks Marketplace & Delta Sharing

 for securely sharing mastered and enriched entity data across teams, clouds, and external partners

Matchbook AI's connector is now available on the Databricks Marketplace, enabling users to easily discover, deploy, and scale entity resolution as a first-class capability within the Lakehouse.

Matchbook AI is a business data platform that leverages AI and referential data to clean, match, and enrich enterprise data with accuracy, context, and confidence. Trusted by leading global organizations, Matchbook AI simplifies data mastering and enhances decision-making across platforms, industries, and use cases.

Matchbook AI announces designation as Databricks Validated Data Partner, bringing native entity resolution to the Databricks Data Intelligence Platform.

Entity Resolution Goes Native: MatchbookAI-Databricks Partnership

In my role, I regularly meet with data executives of 

. It amazes me that in this era of technology and solutions, enterprises continue to struggle with effectively using external data in their decision-making pipelinedespite spending millions on data licensing. The disconnect continues when trying to monitor the effectiveness of those decisions based on changing market conditions.

I've been a data enthusiast for many years, working to solve some of the most complex data issues industry faces. Recently, I've been reflecting on 

 when Matchbook AI took shape to address the significant need for an enterprise-level platform that would be a single point of integration and management for external data and the enterprise.

Today, I'm proud to say that five years lateralmost to the day, we have grown to:

For the first time, Matchbook AI also is named to the 

, an honor that highlights the incredible work of our team.

Apropos for Matchbook AI, this prestigious list provides a data-driven look at the most successful companies within the economy's most dynamic segmentits independent, entrepreneurial businesses.

It represents companies that have driven rapid revenue growth while navigating:

. We still have a lot of work to do, especially as we enter the Series A funding phase, but I feel so confident in the path we are now on.

 that powers intelligent decisions for business, I'm even more excited and motivated than I was in those early daysand my enthusiasm for how we add tremendous value to enterprises is stronger than ever.

Thank you to everyone who has helped us get to this point.

Matchbook AI celebrates five years of growth and innovation with recognition on the prestigious Inc. 5000 list, ranking 2067.

Matchbook AI Ranked on the Inc. 5000 Just in Time to Celebrate Five-Year Anniversary

Matchbook AI delivers accurate, actionable data in real time

Matchbook AI illuminates data to help businesses make better and faster decisions, with algorithms that automate efficiencies and processes

Matchbook AI goes beyond data mastering to cleanse, match, enrich and standardize, as well as mitigate risks with effective trade compliance and monitoring

SANTA MONICA, Calif., June 14, 2022 /PRNewswire/ — Matchbook AI is expanding its transformational Reference Data as a Service platform that delivers accurate and actionable data on demand for companies that struggle with the ongoing pain of disparate and low-quality data. Matchbook AI's platform provides a just-in-time data smart solution for business intelligence that resides between the customer's enterprise data systems and external reference data sources. The Matchbook AI platform is now powered by Snowflake, the Data Cloud company, fueling joint customers with intelligent data for near real time decision-making and managed data that can be shared across enterprises.

The Matchbook AI platform enables real-time access to actionable information and insights at every level of the organization. Matchbook AI accelerates decision-making by connecting enterprise systems and processes, whether it be vendor, procurement, supply chain, marketing, finance, or customers' data, and integrating it with commercial reference data.

Matchbook joins the Powered by Snowflake program

Joining the Powered by Snowflake program in March 2022, Matchbook AI is continuing to refine and improve its trusted data for business intelligence with the Snowflake Data Cloud. Snowflake's platform complements Matchbook AI's strategic decision-making mission, extending the benefit of an architecture designed to deliver incredibly fast querying times at scale to joint customers. In addition, it ensures near-zero maintenance while enabling outcomes with secure near-instant seamless sharing of live data.

"With the Powered by Snowflake program, we can accelerate time to market, deliver a better customer experience, and improve operational efficiency by leveraging the speed, scale, and performance of Snowflake's platform," says Rushabh Mehta, founder and CEO of Matchbook AI. "Our customers represent global leaders from across industries. They have sought out Matchbook to solve complex data problems and get a better data experience, faster queries and trusted outcomes they can act on in real time."

Regulatory compliance through trusted data

Global regulatory compliance is also an important part of the data journey, with billions lost to non-compliance fines each year. From data management to global regulatory requirements, Matchbook AI's Sentinel product enables companies with CDM, vendor onboarding, financial risk, AML / OFAC, Data Management needs.

Prior to using Matchbook AI, one of the leading commercial insurance providers in North America experienced significant delays in accessing accurate risk information for timely decisions and did not have insights into the changing risk profile of their portfolio. Leveraging Matchbook AI, the insurer now accesses and mitigates risks at the point of underwriting while monitoring in near-real time changes to risk across their commercial portfolio.

Visit Matchbook AI at Snowflake Summit June 13-16

Matchbook AI is proud to be a sponsor of Snowflake Summit 2022, live in Las Vegas, Nevada, from June 13 to 16, 2022. Visit booth #1917C to learn more.

Matchbook AI is delivering accurate and actionable data for decision-making in real time with its transformational Reference Data as a Service platform, which resides between a customer's enterprise data systems and commercial referential data sources. Matchbook AI customers come from all areas of industry, from financial, technology and insurance to global healthcare leaders and manufacturers, including Travelers, Johnson & Johnson, Boeing, Raytheon, American Express, Google, IBM, and more.

Matchbook joins Powered by Snowflake program to accelerate enablement of data for faster decision-making

Matchbook Advances Trusted Data for Business Intelligence with Snowflake Partnership

Data: The World's Most Valuable Commodity

Information is the most valuable commodity of the 21st century. At the time of this writing, the largest U.S. companies by market cap are all heavily invested in data: Apple, Microsoft, Amazon, Alphabet (parent of Google), Tesla and Facebook. Unlike other highly valued commodities, data is available in enormous (and ever-increasing) quantities from many different sources. But with so much information available, why are some companies able to utilize data to boost their competitive advantage while others lag? The answer comes down to the prevalence of data issues.

"Nobody's Perfect" and neither is your data about other companies. Here is a list of the types of informational inaccuracies that undermine your business decisions:

 Misspellings, wrong information, other mistakes

 Your employees contact the wrong customers, and everyone is confused.

 Figure out who each company truly is. (Identity Resolution)

 Unmerged accounts, one contact for multiple branches, multiple source systems

 Your employees contact your customers once for each duplicate entry, and everyone is frustrated by the wasted time.

 After identities are resolved, you can easily merge those that have the same identity. (Master Data)

 Data is limited to only what your organization has collected through normal operations.

 You are missing some Actionable information.

 Find additional insights. (Data Enrichment)

 Mergers, acquisitions, address changes, etc.

 You understand who a company was, but not who the company is.

 Keep track of company updates. (Monitoring)

In the simplest terms, the above issues can be remedied by:

Perhaps these problems and solutions seem obvious — well, we think so! Unfortunately, resolving these data issues to the standard you need is a daunting task.

Because you don't have the time or resources to manually find, fix and add (much less monitor!) all of this information. Even if you hired a large team to focus on this exclusively, your data would still suffer from a high level of the previously discussed problems. Human error can't be completely eradicated from the process. What then, can you do?

Matchbook AI has powerful, scalable tools which can help you quickly solve your data problems. We've used our partnerships with Third-Party Data Providers and our deep data expertise (and a lot of time and effort) to build streamlined, customizable processes. Here are the simplified steps that show how you can resolve issues for reliable data.

Choose and define the preferred data provider(s).

Choose confidence thresholds for automatic matching.

Provide information about companies (Name, Address, etc.)

(This can be automated in a variety of ways.)

Then we (Matchbook + Data Providers) do the following:

Compare your data with third-party information to produce potential matches.

Automatically match according to your preferences and rules.

For inputs that did not get automatically matched, we provide Data Stewardship tools to help match manually.

You can do this within your company, or we can manage your data for you.

Choose data provider preference and/or agreement requirements for each data enrichment.

Provide which records require the enrichment(s).

(Prerequisite: Identity Resolution to a Data Provider.)

Lookup the relevant information from the relevant data providers.

Return to you the desired information, according to your preferences or requirements.

Choose which records and data points require Monitoring.

Choose a frequency for receiving updates.

Provide updates on your desired schedule.

Third-Party Data Providers are in the business of providing the highest-quality data to their customers. Usability isn't always their top priority. Matchbook AI provides seamless integration and cross-referencing to multiple providers, bringing data quality to the next level.

Matchbook AI gives you full control over the who, what, where, when, and how. Why? Because every organization is different, and you know your needs better than we do.

Matchbook AI can positively impact your business in a matter of weeks.

With Matchbook AI's automated processes in place and high confidence in your data, your employees won't waste time contacting the wrong people, fixing incorrect information, or attempting to piece together a puzzle manually.

Matchbook AI provides Centralized Governance and Distributed Control in Identity Resolution, Enrichment and Monitoring. This means that your organization can define the appropriate level of segregating vs sharing Data Stewardship responsibilities and results.

With Matchbook AI's Monitoring in place, you will automatically receive updates, so you will stay up to date into the future.

Want a demonstration of how Matchbook can help you eradicate data issues? Or learn how to try Matchbook Essentials for $0/month? Get in touch with our sales team.

Largest Companies in the USA by Market Cap

The world's most valuable resource is no longer oil, but data

Data is the world's most valuable commodity. Learn how to capitalize on it effectively by resolving identity, creating master datasets, enriching data, and staying current.

News & Announcements

Latest Highlights

Entity Resolution Goes Native: MatchbookAI-Databricks Partnership

Matchbook AI Ranked on the Inc. 5000 Just in Time to Celebrate Five-Year Anniversary

Matchbook Advances Trusted Data for Business Intelligence with Snowflake Partnership

Having Data Isn't Enough—Here's How You Capitalize on It

All News & Updates

Entity Resolution Goes Native: MatchbookAI-Databricks Partnership

Matchbook AI Ranked on the Inc. 5000 Just in Time to Celebrate Five-Year Anniversary

Matchbook Advances Trusted Data for Business Intelligence with Snowflake Partnership

Having Data Isn't Enough—Here's How You Capitalize on It