Vaultara: Custom application.
A mobile app for one focused banking workflow, built with React Native over Django REST Framework. Getting the core model right once is what keeps balances and records consistent, and lets the product grow without a rebuild.
Anonymised case study. Project names are aliases used to protect client confidentiality. The case study covers the project’s challenge, approach, technology and outcome.
The challenge.
- The client needed a dependable product to run a specific workflow end to end.
- It had to work cleanly for everyday users across their devices.
- Data had to be captured and stored consistently.
- Edge cases in the workflow had to be handled explicitly rather than left to workarounds.
Our approach.
- Built the mobile app with React Native.
- Backed it with Django REST Framework over a persistent store.
- Modelled the core workflow so data is validated and consistent.
- Kept the interface simple for everyday use.
- Handled the workflow's edge cases explicitly in the model, not in workarounds.
The outcome.
- Users run the core workflow from one mobile app.
- Data is stored consistently instead of living in spreadsheets.
- The product is straightforward to extend.
- Edge cases are handled by design rather than by workaround.
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Anonymised case studyFinanceWealthwise: Web3 platform.
A web app for on-chain finance, built with React, Django, Node.js, Express, PostgreSQL and Web3. Wallet connection, contract calls and transaction state are wrapped in an interface that non-crypto users can operate with confidence.
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Anonymised case studyFinanceNexora: Investment platform.
A web app for investing & markets, built with React, Django, Django REST Framework and PostgreSQL. Watchlists, holdings and research sit behind one login, tuned to stay responsive when the market is open and traffic peaks.
React · Django · Django REST Framework · PostgreSQL
Where AI fits in financial services.
Retrieval over policies, filings and statements, assistants for analysts and operations teams, and document checks that leave an audit trail a regulator can follow.
Explore AI developmentClient feedback on our work, separate from the anonymised project described above.
As well as being exceptional technically, they consistently invest the time to understand the product and suggest how it can be enhanced and improved.
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