How a multi billion dollar enterprise surfaced 200,000 qualified companies in its own database with Tapistro

Introduction

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Company hierarchy is one of the quietest data problems in B2B, and one of the hardest to solve. A single company rarely lives in a CRM as a single record. It arrives as a parent, a handful of subsidiaries, a few regional entities, and a brand or two, each entered through a different team, tool, or vendor, under a different name. On the surface the database looks full. Underneath, no one can say which records belong to the same company.
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At small scale, this is an annoyance. At global scale, it becomes structural. A company operating across regions buys data from a different vendor in each one, and every vendor identifies accounts its own way. There is no shared key to group on, so the same customer is counted many times and its subsidiaries sit in rows that never connect. The result is a database that looks complete and quietly lies about the size and shape of the market.
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No data vendor can fix this, because the right way to identify a company is unique to every GTM team. One team keys on domain, another on domain and country, another on website, another on a custom identifier. A vendor ships a single pre-built hierarchy on its own static logic, and it rarely matches how a company actually goes to market, or reaches the long tail where most of a global database lives.
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This is the problem a NASDAQ-listed global software enterprise, came to Tapistro to solve. They were not looking for another data subscription. They wanted a partner who could build the mapping around how they actually go to market, and prove every link.

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The Situation

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The company sold across every major region, and each region ran on a different data vendor. No two agreed. There was no standard way to map hierarchy and no standard fields across vendors. Records for the same organization were scattered under different names, its subsidiaries and regional arms logged as unrelated accounts.

Leadership already knew this was hurting them. They could not answer the most basic question about their own market: how many companies do we actually sell to, and who owns each one? Territory and account plans were built on a miscounted base. Two reps could work the same customer from two regions and never know it. The team had tried to solve it through their existing vendors, but a static, pre-built tree could never be built to their definition of an account, or reach the long tail that made up most of their database.

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How Tapistro Helped

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Tapistro built the mapping around the company's own definition of an account, domain and country, the identifier that held across every region, and ran TAP AI Agents across all 750,000 records. What earned the trust to run it across the entire database was that every step could be verified.
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Here is how it ran, end to end:

1. Ingest and standardize- Every record from every regional system and vendor was pulled into one schema, with domain and country set as the composite key.
2. Resolve the real company- TAP AI Agents researched each account against live public sources, the company site, registries, and news, to confirm the true entity behind the domain.
3. Map the hierarchy- For each account, the agents worked out its parent and children and attached a citation to every link.
4. Link or create- Existing parents were linked. Missing parents were created as ICP-qualified records and linked, which is how the mapping surfaced companies the database never had.
5. Dedupe and enrich- Duplicate records collapsed into one unified profile, and missing fields were filled in.
6. Write back- The finished hierarchy synced straight into the CRM.
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Four things made the result trustworthy:

1. ‍Identity built to their motion- Rather than forcing the company onto a vendor's fixed logic, Tapistro mapped on domain and country, the lowest common denominator that actually worked across every region and every source.‍
2. A citation on every link- Each parent-child relationship carried its source, so the team could verify a link instead of taking it on faith.‍
3. Built for the hard cases- Holding companies, acquisitions, rebrands, franchises, and separate regional legal entities, the cases a static tree gets wrong, were resolved from live evidence rather than a fixed library.‍
4. ICP discipline- Every company Tapistro added cleared the company's own ICP first, and each account was enriched into a single unified profile rather than a duplicate row, so the additions were real, in-market, and sellable, never padding.
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The Impact

• 200,000 net-new parent companies surfaced, in-market and ready to sell to, resulting in a TAM expansion
• One clean record per company, duplicates collapsed and fields standardized across every region and vendor
• Sales assigned on the real hierarchy, so no two reps work the same customer from two regions
• A cleanup that would have taken internal teams multiple quarters by hand, delivered in days after setup

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