Heron is part of the Y Combinator Summer 2020 program

Decode financial transaction data

We turn raw financial transactions into enriched data with clean descriptions, merchants, custom categories and powerful features.

Enrich instantly

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Use Cases

SME Lending

Turn bank transaction into cashflow statements through granular categorisation. Supercharge underwriters, build a smoother user journey, and lend with confidence.

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Beautiful UX for transaction data

Display back clean descriptions and merchants. Minimise erroneous chargeback requests. Reward customers for spend with certain merchants.

Training Data for AI

Let Heron turn your transactions into ground-truth training data for your ML models. Up to double the accuracy of  image-based labelling at a fraction of the price.

Map transactions to real-world categories

Map bank data to COICOP, SIC, the Tax Code, or any other taxonomy. Whatever your labels, we can help you.

CLean Descriptions. Merchants. Categories.

Clean transactions. Categories that work for you.

We've mapped tens of thousands of merchants to bank data, so you don't have to. If you need categorisation, use one of our use case specific category taxonomies, or customize your own.

world-class api

Build on top of our APIs

Stop manually tagging your transactions or hacking out-of-the-box labels. Use our developer-friendly APIs to build your features

  • Personalised APIs
  • Clear documentation
  • Postman collection
  • Guaranteed uptime

Our Team

César Ferradas

Software Engineer
Spent time building the core backend of allplants and VectorAI. Previously co-founder of a venture-backed startup in his native Peru while studying Computer Science at UCL.

Dominic Kwok

Co-Founder, CTO
Previously Head of Data Science at Revolut, worked as a Data Scientist at Spotify and Facebook, and used to nerd out as a Yale Quantum Physicist

Johannes Jaeckle

Co-Founder, CEO
Previously led London Fintech Taptap Send as its Managing Director. Early employee at Segovia Technology, a payment infrastructure start-up acquired in 2019

Jamie Parker

Co-founder, COO
Previously a Manager at Alphasights, working with PE and Consulting clients. Started and sold his first company at university with Johannes


How is this different to other solutions?

We offer you the ability to define custom categories
that fit your use case specifically. We will fine-tune our general model to your specific category labels.

How much does it cost?

Basic enrichment starts at $249 per month. Tier-based pricing for custom categories is available - just talk to us!

What data can I use this with?

We work with companies that pull bank data via many different third-party providers (e.g., Plaid, Yodlee, Tink, Truelayer) as well as with companies that issue cards or host checking accounts.

Is my data safe?

Yes. Data privacy and handling is very important to us, and we adhere to GDPR regulations and other standards when processing data. We are registered with the UK ICO under registration number ZA757776

What if I want to keep my in-house  model?

If you already have a classification model but would like it primed with perfectly labelled data, we can help. We label and return datasets asynchronously for a per transaction fee.

What else can you do?

Whether it's balance forecasting or subscription identification, if it's hidden in financial transaction data, we can help! Whatever your problem, feel free to book a call and we can discuss further.

Curious? Start today

Book a Demo
or email

Interested in working with us? 

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