The language model for
personalised banking data

Transform hard to understand transactional data into easily recognisable transactions with accurate categories complete with identifiable merchant names, logos and locations.

>98%
categorisation accuracy
~2m
locations
~3m
entities
>5,000
logos
<5ms
latency per transaction

Understand every customer transaction

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

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Increase deposits

Drive deposit and revenue growth

Reduce risk

Identify and proactively assist at-risk customers

Cut costs

Minimise the volume of transaction disputes

Drive engagement

Maximise customer engagement and satisfaction

Enriched with added customer context

Categorisation

Strengthen customer understanding using >98% accurate market-leading categorisation.

Merchants

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

Regularity

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

Location

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

“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 customise 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

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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