Skip to content

Services

Custom Software Development Services for systems that carry real weight

Four service lines, one engineering organisation. Whether you need full-stack web engineering, AI & cloud solutions, a legacy platform moved without a cutover weekend, or dedicated dev teams embedded in your roadmap, the standards, the people and the delivery model are the same.

Scope your projectSee outcomes
  • Senior-only engineering, no pyramid staffing
  • Non-functional requirements agreed as numbers before build
  • Handover treated as a deliverable, not an afterthought

01 · Web & Mobile Apps

Web & Mobile App Development

We design, build and run customer-facing web and mobile products for companies where downtime is measured in revenue. One team covers interface, services, data and delivery, so nothing falls into the gap between a design system and a database.

Full Web & Mobile Apps breakdown

What you end up with

  • A product your team can extend without calling us
  • p95 page loads under two seconds at peak traffic, verified under load
  • Accessibility conformance evidenced, not asserted
  • Deployment measured in minutes, with rollback that has been rehearsed
  • TypeScript
  • React
  • Next.js
  • React Native
  • Node.js
  • Go
  • PostgreSQL
  • Redis

  • Product-grade front ends

    React and Next.js applications built on a real design system, with server rendering, streaming and accessibility treated as engineering requirements rather than a post-launch audit.

  • Cross-platform mobile

    React Native applications sharing a TypeScript codebase with your web product, or fully native Swift and Kotlin where the product depends on platform capabilities that cross-platform runtimes handle badly.

  • Backend services and APIs

    Node.js and Go services with versioned, documented APIs, contract tests at every boundary and a data model that will still make sense after three years of feature work.

  • Performance as a budget

    Core Web Vitals targets set before the first component is written, enforced in the pipeline, and tracked against real user monitoring rather than lab scores.

  • Run, not just build

    Observability, alerting, runbooks and load testing shipped with the product, so the team that launches it can operate it on the first bad Monday.

02 · AI & Cloud Engineering

AI & Cloud Engineering

We build LLM systems, data platforms and cloud native architecture for organisations that need measurable quality, predictable cost and an audit trail. AI features are engineered with evaluation harnesses in continuous integration, not shipped on the strength of a demo.

Full AI & Cloud Engineering breakdown

What you end up with

  • Retrieval quality measured on a golden set, gated in CI
  • Cost per request and p95 latency visible on the same dashboard as quality
  • Everything inside your compliance boundary, with evidence for the audit
  • A model-agnostic seam, so a provider change is a configuration change
  • Python
  • TypeScript
  • FastAPI
  • LangGraph
  • pgvector
  • OpenSearch
  • Kafka
  • dbt

  • Retrieval systems that are measured

    Hybrid retrieval, version-aware chunking and reranking, with a golden set of real user questions and recall, faithfulness, latency and cost gated in the pipeline on every change.

  • Agentic workflows with guardrails

    Tool-using systems with bounded permissions, deterministic fallbacks, full traceability of every step and a defined abstention path so the system stops instead of guessing.

  • Data platforms

    Ingestion, lineage, quality checks and access control on top of a warehouse or lakehouse, so the AI layer is built on data somebody is accountable for.

  • Cloud native architecture

    Kubernetes or serverless, infrastructure as code, multi-environment promotion, and cost per request published next to latency so trade-offs are made deliberately.

  • Platform and delivery engineering

    Golden paths for service creation, pipelines that are fast enough to trust, and observability that answers questions instead of producing dashboards.

03 · Enterprise Legacy Migration

Enterprise Legacy Migration

We move monoliths, mainframe-era systems and end-of-life platforms onto modern foundations while they keep serving production traffic. The pattern is a routing seam, incremental extraction and staged data ownership - never a big-bang rewrite that has to land perfectly on a Sunday night.

Full Enterprise Legacy Migration breakdown

What you end up with

  • Production traffic migrated incrementally, with rollback at every step
  • No cutover weekend and no feature freeze
  • A decommissioning date the finance team can plan against
  • Documentation and tests for behaviour that previously lived in two people’s heads
  • Java
  • .NET
  • Go
  • TypeScript
  • Kafka
  • Debezium
  • PostgreSQL
  • Oracle

  • Assessment and migration strategy

    Dependency mapping, risk register, sequencing by business value and a costed plan you can take to a board, produced in weeks rather than quarters.

  • Strangler fig execution

    A routing seam in front of the legacy system, then extraction slice by slice with traffic flippable per route, per tenant, per percentage, without a deploy.

  • Data migration and dual-run

    Change data capture, dual-write with hourly reconciliation, staged read-shift and explicit decommissioning of legacy columns so forgotten queries fail loudly rather than returning stale data.

  • Cloud replatforming

    Landing zones, network and identity design, infrastructure as code, and a target architecture chosen for your operating model rather than for a reference diagram.

  • Knowledge recovery

    Behaviour of undocumented systems reconstructed from code, logs and production traffic, then written down - often the first accurate documentation the system has ever had.

04 · Dedicated Dev Teams

Dedicated Dev Teams

A cross-functional team embedded into your organisation, owning a product domain end to end including its on-call. Not staff augmentation: the unit is a team with an outcome, a named client counterpart and a knowledge-transfer target written into the contract.

Full Dedicated Dev Teams breakdown

What you end up with

  • A team that is productive in weeks, not quarters
  • Your engineers stronger at the end than at the start
  • On-call and incident ownership shared, with response targets in the contract
  • Thirty-day flexibility in both directions, with no long lock-in
  • TypeScript
  • React
  • Next.js
  • Node.js
  • Go
  • Python
  • Java
  • PostgreSQL

  • Cross-functional squads

    Engineering, architecture and delivery leadership in one team, sized between three and nine people, with a tech lead accountable for the domain rather than for utilisation.

  • Domain ownership

    The team owns at least one deployable unit outright, including its on-call rotation, its architecture decisions and the consequences of them.

  • Time zone design

    A minimum of four overlapping hours with your team and an asynchronous working agreement - written decisions, context-rich pull requests, a daily written handover at the end of the overlap.

  • Knowledge transfer as a deliverable

    Bus-factor targets per service, scheduled pairing with your engineers, and documentation reviewed like code - used in a real incident before we roll off, not filed afterwards.

  • Honest technical counsel

    Engineers expected to push back in writing, with an alternative, on requirements that will not survive production. It is the reason to hire senior people.

Engagement models

Four ways to work with us, priced honestly

The commercial shape should follow the problem, not the other way around. If your situation does not fit one of these cleanly, say so on the call. We have written custom agreements before.

  • Assessment & discovery

    Right when
    You have a decision to make: rewrite or repair, build or buy, which platform, what it will cost.
    Shape
    Two to four weeks, two to three senior engineers, a written recommendation with the working shown.
    Commercials
    Fixed price, credited against a build if you proceed.

  • Outcome-scoped build

    Right when
    The outcome is clear and the scope can be held stable for a quarter or two.
    Shape
    A cross-functional squad, two-week increments, non-functional targets agreed up front.
    Commercials
    Fixed-capacity pricing with a change mechanism that does not require a new contract.

  • Dedicated dev team

    Right when
    You have more roadmap than engineers, or a domain nobody currently owns.
    Shape
    Embedded senior engineers taking domain ownership including on-call, usually from day thirty.
    Commercials
    Monthly, rolling, 60-day notice. No minimum term and no ramp-down penalty.

  • Managed run

    Right when
    Something is in production and the team that built it has moved on.
    Shape
    Availability targets, an on-call rotation, a funded dependency and security backlog.
    Commercials
    Service-level agreement with credits, reviewed quarterly against real incident data.

How we deliver

The same six phases, whichever service you start with

It is deliberately unglamorous. Most enterprise software development fails on integration surprises, unowned non-functional requirements and handovers nobody planned, so those are the things this process attacks first.

  1. 01

    Technical qualification

    A 45-minute call with the engineers who would run the work. We want the integration list, the incident history and the constraint that cannot move. If the honest answer is that you do not need us, you get that answer on the call.

  2. 02

    Discovery, costed and time-boxed

    Two to four weeks. We map integrations, get real data in front of engineers, write the non-functional requirements as numbers and produce a delivery plan with the assumptions listed and priced. Discovery is a deliverable, not a sales phase.

  3. 03

    Walking skeleton in a real environment

    One thin slice through every layer, interface to service to data to pipeline to environment, deployed for real inside the first fortnight of build. Integration risk becomes a week-three problem instead of a month-nine surprise.

  4. 04

    Iterative delivery against measured targets

    Two-week increments, demoed on your data. Performance, accessibility and security budgets are enforced in the pipeline, so a regression fails the build rather than a launch review.

  5. 05

    Hardening, launch and hypercare

    Load tests at peak-season profiles, a rehearsed rollback, runbooks written by the people who will be paged, then four to eight weeks of hypercare with your engineers on the rotation beside ours.

  6. 06

    Handover, or a standing team

    Architecture decision records, weekly pairing and a documented exit. Either your team carries it from here, or we stay as a dedicated dev team with the same people and an open-ended agreement.

Non-negotiables

  • Numbers, not adjectives: p95 latency, peak concurrency, recovery objective and accessibility level are agreed before the first component is written.
  • Every increment lands in a real environment on real data. A demo on seed data is not evidence.
  • Rollback is rehearsed, not documented. If it has not been run, it does not exist.
  • Your engineers are in the pairing rotation from week one, or the handover will not hold.
Read the delivery FAQs

Next step

Bring us the constraint, not the specification.

The most useful first conversation is about the thing you cannot change: the audit date, the contract renewal, the engineer who is about to retire. We will tell you what is buildable around it.

Direct line:moeed@moreinns.com

Start the conversationRead case studies