Folionova: Investment platform.
A mobile app for investing & markets, built with React Native and Django REST Framework. Watchlists, holdings and research sit behind one login, tuned to stay responsive when the market is open and traffic peaks.
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.
- Investors juggled quotes, watchlists and research across disconnected tools.
- The client wanted markets, portfolios and research behind one login.
- Data had to stay timely and readable under market-hours load.
- Numbers had to be trustworthy — a stale quote or a wrong position is worse than no product at all.
Our approach.
- Built the research-and-portfolio surface with React Native.
- Backed it with Django REST Framework for watchlists, holdings and market data.
- Modelled instruments, positions and research so users act on one view.
- Tuned hot paths for market-hours traffic.
- Validated market data at ingestion so a bad tick never reaches a user's screen.
The outcome.
- Investors track markets and portfolios from one place.
- Research and holdings sit behind a single login.
- The view stays responsive during market hours.
- Users trust the numbers, which is the product's entire value.
Related financial services work.
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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.
“Cloudini did some great work for Sainsbury's, bridging complex interactions between some older less flexible systems, some rigid vendor solutions and the new systems we were building. The software Cloudini developers wrote stood up well, long beyond the interim scope of it needing to work for 12-18m and was still in active use 5 years after its creation to good effect, since it was part of mission critical systems.”
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