The language model for
personalized banking data

Transform hard to understand transactional data into easily recognizable transactions with accurate categorization, plus identifiable merchant names, logos and locations.

>97%
categorization accuracy
~15m
locations
~30m
entities
>12,000
logos
<5ms
latency per transaction

Understand every customer transaction

With actionable insights surfaced straight from your customers’ behaviors, Bud empowers you to actively reduce disputes, minimize call volumes surrounding transactions, reveal potential fraudulent transactions and drive even more meaningful customer interactions.

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Raw transaction data showing Bud enrichments like regularity, category, location and more
Increase deposits

Drive deposit and revenue growth

Reduce risk

Identify and proactively assist at-risk customers

Cut costs

Minimize the volume of transaction disputes

Drive engagement

Maximize customer engagement and satisfaction

Enriched with added customer context

Categorization

Strengthen customer understanding using >97% accurate market-leading categorization.

An illustration showing a raw transaction being enriched to show it's a coffee transaction at Starbucks

Merchants

Accurately identify and match transactions to merchants, with attributes like clean display names and high-quality logos.

A raw transaction being enriched with the merchant name (Netflix), category (TV streaming) and merchant logo

Regularity

Understand the frequency and variability of recurring payments and highlight missing transactions.

A raw transaction enriched by Bud to reveal predictive payment regularity, context and details

Location

Reveal where payments are taking place with full street addresses and geo-coordinates, complete with the detection of online payments too.

A raw transaction being enriched to show that it's a 7-Eleven purchase
“We wanted a provider that has an intelligent solution in place and that is constantly innovating and delivering functionality. Bud is able to enrich transactions, easily customize categories and has also developed a suite of additional tools on top that has enabled us to increase the value we can offer our customers.”
Akshay Sandri
Head of Product, Maji

Integrating with Enrich

An illustration of a transaction API call

API Access

A typical enrichment flow involves no more than three to five API endpoints. Many of our clients are fully up and running within days. Find out how in our guides and API docs.

Or get started in our sandbox today.

Enrich any data source

  • First-party data you already own
  • Data from one of our core banking partners
  • Data from a financial aggregator you already work with
  • Batches of historical data in CSVs or similar file formats
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