Capability in numbers

2
.
75
M+

Merchants Categorised

20
+

Categories

90
+

Sub-categories

and growing...

Why get TrACEd?

Bank transaction strings are notoriously hard to understand, as they are strewn with various alphanumeric characters, truncated merchant names and multiple delimiters. Every financial institution has its own syntax, making transactions more messier and inconsistent. The financial transaction categorisation process has never been easier, requiring a lot of laborious effort to identify people’s financial behaviour akin to analysing DNA containing all affirmative financial acts that define a person.

WIth our Transaction Categorisation and Enrichment API, Transaction data is deeply entrenched in multiple processes, even to the level of analysing users’ financial behaviours and spending patterns. Hence it helps Financial Institutions in understanding and defining the users they interact with. Harness the power of personal and financial data held by banks to unlock new possibilities. By gaining deep insights into users' financial behaviours, businesses can seize exciting opportunities and become an integral part of their customers' everyday journeys.

How it works

Access Data
Cleanse
Categorise
Enrich
Learn

Fetch users' real-time and history of transactions from all of their bank and financial institution accounts directly via the Account Aggregator framework.

Sanitise raw and confusing bank transaction strings to get clear and easy-to-read transactions that make sense to identify, organise and act on.

With our rule-based system and ML capabilities, which have been trained on millions of transactions, identify categories and sub-categories granularly, as well as merchants, methods, and modes for each transaction with up to 95% accuracy.

Add context and metadata to identify the when, where and how of every transaction and enhance geolocation, category and merchant information including its name, logo and website.

Extract deep behavioural attributes of your consumers to gain insight into recurring expenses, subscriptions, deposits, regular inflows, risk indicators or any unique user behaviour data.

Access Data

Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly.

Cleanse

Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly.

Categorise

Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly.

Enrich

Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly.

Learn

Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly.

Why TrACE?

Bank narration strings are notoriously hard to understand strewn with various alphanumeric characters, truncated names of merchants and various delimiters. To add to it every financial institution has its own syntax making it even messier. But hidden in these strings, are secrets to people's financial behaviour, akin to DNA containing all affirmative financial acts that define a person. 

Transaction data is deeply entrenched in multiple processes as it helps Financial Institutions understand and define the users they are working with. Crucially, Banks sit on rich personal and financial data that captures all major milestones in users' lives. Understanding their past and current behaviour empowers businesses to recommend exciting opportunities and be a part of their users' daily lives.

How it works

Whether your own data pipeline or via FegoConnect, TrACE extracts deep behavioural attributes from banking transaction strings by constantly enriching and identifying categories & sub-categories granularly along with merchants, methods and modes, to provide our clients with the right building blocks that can power the next generation of personalised financial services at scale. 

Cleanse

Categorise

Enrich

Learn

01

Maximising the value of financial data

Beyond decoding transactions, Fego enriches categorised data with machine learning algorithms to generate deep behavioural attributes of your users such as spending pattern, certainty, unpredicted transactions, and so on.

03

Offering model-ready attributes

Retrieve traits that provide enriched data output tailored to each organisation. Get ready-to-use data on potential user segment, share of wallet, market competition, and predictive insights.

Products powered by TrACE

Bring all financial data together and stitch powerful, dynamic user profiles - Save hours of compliance, data, and engineering with one Transaction Enrichment API.
Fego for all:
Be it a Bank or a Startup or just an idea - We enable you
Incumbent Financial Entities(BFSI)

Innovate faster, deliver personalised financial experiences & deepen customer engagement with enriched transaction data

Learn how
Fintech Companies

Widen offerings and go-to-market faster with nimble products and seamless financial insights

Learn how
Consumer Internet Companies

Introduce finance to your users and be at the cutting edge of finnovation by building on top of Fego

Learn how

Every company will be a fintech company

We are at the forefront of making finance relevant and simple for every Indian. Build better products by tapping into the Account Aggregation Framework.