
JS&C Automation
An interactive demonstration of the PE AI Engineering Platform: retrieval-grounded answers, human review gates and an audit trail, running on illustrative data.
- Next.js
- React
- TypeScript
Digital Strategy & Engineering
We build digital systems that move money, manage risk, and scale operations for growth-stage companies.
Run complete. Signed pack filed.
Digital strategy, design and engineering for companies that move money.
We work with growth-stage financial institutions and operationally complex teams in Hong Kong and the UK.
Each project states its status, its owner and what shipped. The case studies hold the detail.

An interactive demonstration of the PE AI Engineering Platform: retrieval-grounded answers, human review gates and an audit trail, running on illustrative data.

Commissioned by an Oxford University student as part of her dissertation research, a workspace for reading and annotating old scanned documents that don't work with regular PDF tools.

A free, no-login interactive document workspace that replaces static PDFs: draft, share, track how clients read, and collect digital signatures in the browser.
Work archive
See every case study
Statuses, owners and the build notes behind each project.
Three phases. One team. From strategy to production.
We audit your existing systems, map workflows and design technology that fits how your operations actually run.
From wireframe to production. Interfaces your team will actually use, built by engineers who own the outcome.
CI/CD pipelines, monitoring and training. We do not hand off and disappear.
Automation systems, compliance platforms and financial operations tools. Every build ships with audit trails, human review and explainability as standard features, not add-ons.
Retrieval-grounded AI for term-sheet analysis, covenant monitoring and LP reporting. Every answer cites its source and routes to a named reviewer.
Compliance controls designed in from the first commit: audit trails, redaction and review gates, built around SFC, HKMA and AMLO expectations.
Cash-flow forecasting, multi-currency handling and document management for teams whose numbers move every day.
From raw source data to decision-ready dashboards, with pipelines your team can audit end to end.
Stack we build with
The patterns we build most often. Each one runs input, processing, human review and an audited output.
Daily matching of custodian statements and position files against the firm's own records.
Contracts, side letters and KYC files read, structured and checked before they reach a decision.
Data pulled together into regulator-ready filings with the evidence trail intact.
Operational numbers consolidated into reports the management team actually reads.
Software born from our own builds. Statuses are stated, not implied.
Free document workspace
A no-login workspace for drafting, sharing and tracking documents that would otherwise be static PDFs.
AI workspace for financial operations
Retrieval-grounded answers, human review gates and an audit trail. The public demonstration runs on illustrative data and labels itself as a demo on every screen.
Compliance controls for client builds
Reusable controls prototyped in the platform demo: audit trails, redaction, explainability exports and review gates, packaged for client engagements.
Forecasting and reporting layer
Cash-flow forecasting, multi-currency handling and reporting packs being shaped for client engagements.
One team, three phases, five steps. You stay involved from audit to launch.
We audit your existing systems, understand workflows and identify the bottlenecks that cost the most.
We define success metrics, choose the technology and plan an architecture that fits your stack.
Wireframes become high-fidelity mockups and a prototype your team reviews before any code is written.
Production-grade code shipped in iterative sprints with automated testing and CI/CD from day one.
We deploy, monitor, train your team and keep improving the system against real usage data.
Notes on building systems for finance and operations teams.
Two founders run the delivery: one leads product and full-stack engineering, one leads AI, data and platform engineering. We expand with trusted collaborators when a build demands it.
Co-founder, Product and Full-Stack Engineering
Leads product delivery and full-stack engineering across client builds: information architecture, interface design and the systems behind them.
Co-founder, AI and Data Engineering
Leads AI and data engineering: retrieval systems, document intelligence and the compliance controls wrapped around them. Designs workflows so models answer only where a human can check.
Tell us about the workflow that slows your team down and the systems you already run. We reply within one working day with a recommended first step.
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