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Solutions

Built around your problem, not our tech stack.

Every industry has its own hard parts: regulation, legacy systems, real-time data, scale. We bring engineering patterns that already work and adapt them to your constraints.

By industry

Industries we build for

Domain knowledge shortens discovery and avoids expensive mistakes. These are the sectors where our patterns are most mature.

Fintech & payments

Money has to move correctly every time, audits never stop, and batch-era systems struggle with real-time expectations.

  • Event sourcing
  • Idempotency
  • Audit trails
  • Ledgers and payment orchestration
  • Onboarding and KYC flows
  • Reconciliation and reporting
  • Customer and back-office portals
Related case study: Core Banking Ledger Modernization

Healthcare

Sensitive records, strict privacy rules and users who are often stressed or unwell: software has to be secure and simple at the same time.

  • Encryption
  • RBAC
  • Accessibility
  • Patient apps and portals
  • Booking and telehealth
  • Clinical system integrations
  • Consent and access management
Related case study: Patient Portal & Telehealth App

Logistics & operations

Plans go stale as soon as conditions change, and teams end up coordinating trucks, stock and people from spreadsheets.

  • Streaming
  • Geospatial
  • Optimisation
  • Routing and dispatch tools
  • Live tracking dashboards
  • Warehouse and inventory systems
  • Partner and carrier integrations
Related case study: Dynamic Fleet Dispatch Engine

SaaS & data platforms

Growth exposes every shortcut: noisy neighbours, slow reports, brittle integrations and cloud bills that climb faster than revenue.

  • Multi-tenancy
  • Data pipelines
  • APIs
  • Multi-tenant SaaS backends
  • Data pipelines and warehouses
  • Usage-based billing and metering
  • Public APIs and SDKs
Related case study: Distributed Media Storage Engine

By challenge

Problems we are often asked to solve

Whatever your industry, the engineering problem usually looks like one of these.

  • Modernising a legacy system

    Replace an ageing system piece by piece, running old and new side by side so the business never has to stop.

  • Scaling and performance

    Find the real bottlenecks with profiling and load tests, then fix them in order of impact rather than guesswork.

  • Cloud cost and reliability

    Right-size infrastructure, automate it as code and add the monitoring you need to trust it at 3 a.m.

  • Launching a new product

    Go from idea to a production-ready first release with a scope that fits your runway and a codebase you can grow.

  • AI on your own data

    Add search, summarisation or assistants grounded in your data, with evaluation and guardrails rather than demos.

  • Security and compliance readiness

    Build in access control, audit logging and encryption from the start, so audits and security reviews go smoothly.

Getting started

From first call to working software

No long sales cycle. Three steps and you know whether we are the right fit.

  1. 01

    Intro call

    Tell us about the problem, your constraints and what success looks like. We ask a lot of questions.

    Outcome: shared understanding

  2. 02

    Written proposal

    A short document with the approach, the team, a timeline and the options we considered and rejected.

    Outcome: scope, plan and estimate

  3. 03

    Build and iterate

    Delivery starts with the riskiest part first, and you see working software early and often.

    Outcome: working software

Start a project

Not sure which solution fits?

Describe the problem in a few sentences. We will reply with questions, a first take on the approach, or an honest referral if we are not the right team.