Lake Metier
Chapter II — Services

Fifteen engineering practices, delivered from a single studio.

Every service listed below is performed by senior engineers who remain accountable for the outcome from initial brief through to production. The descriptions are deliberately concrete: what the work is, what it is typically used for, what capabilities it draws on, what business value it produces, and how it is delivered.

Index of Practices
  1. 01Custom Software Development
  2. 02Web Application Development
  3. 03Mobile Application Development
  4. 04UI & UX Engineering
  5. 05Cloud Architecture
  6. 06DevOps & Platform Engineering
  7. 07API Development & System Integration
  8. 08Data Engineering
  9. 09Analytics Solutions
  10. 10Artificial Intelligence Integration
  11. 11Cybersecurity Consulting
  12. 12Software Modernisation
  13. 13Quality Assurance & Testing
  14. 14Technical Consulting
  15. 15Ongoing Maintenance & Support
Practice 01

Custom Software Development.

Bespoke platforms engineered around the specific way a business actually operates.

Custom development is the studio's central practice. We design and build applications that internalise the vocabulary, workflows and constraints of a specific business, rather than forcing a business to reshape itself around a generic product.

Business use cases
  • —Internal operating platforms for growing organisations
  • —Revenue-critical systems that no off-the-shelf product fits
  • —Products commercialised by software companies as their own offering
Main capabilities
  • ·Domain modelling and technical specification
  • ·Backend services in TypeScript, Python, Go and Java
  • ·Web and API-first architectures
  • ·Long-term maintainability as a design constraint
Expected business value

A system whose structure matches the business. Change requests take days rather than quarters, and institutional knowledge remains encoded in software instead of in individuals.

Delivery approach

Written brief, agreed architecture, vertical slices, continuous integration, weekly demonstrable progress, structured handover.

Practice 02

Web Application Development.

Interfaces engineered for reliability, accessibility and long product life.

Our web practice covers full-stack applications, complex dashboards, customer portals and internal tools. We treat the browser as a serious runtime and the interface as a first-class product surface.

Business use cases
  • —Customer-facing web applications with strict availability targets
  • —Internal operations consoles for logistics, finance and support teams
  • —Data-heavy dashboards that must remain responsive on real datasets
Main capabilities
  • ·React, Next.js, TanStack, TypeScript
  • ·Design systems and accessible component libraries
  • ·Real-time features over WebSockets and SSE
  • ·Performance budgets and Core Web Vitals discipline
Expected business value

Applications that feel considered rather than assembled. Users get through their work faster, and the product remains extensible for the team that will maintain it.

Delivery approach

Interaction design in parallel with backend contracts. Progressive delivery behind feature flags. Observability from day one.

Practice 03

Mobile Application Development.

Native-quality mobile experiences on a single, sustainable codebase.

We build production mobile applications where reliability, offline behaviour and long-term maintenance matter. Cross-platform where it makes sense; fully native where it does not.

Business use cases
  • —Field-operations tools for staff working outside the office
  • —Consumer applications with strict store-review and update cadence
  • —Extensions of an existing web product into a mobile-first channel
Main capabilities
  • ·React Native and native Swift / Kotlin
  • ·Offline-first data models and background synchronisation
  • ·Push, deep-linking, biometric authentication
  • ·Store submission and update automation
Expected business value

A mobile product that behaves the way modern users expect, without a second engineering team to maintain it.

Delivery approach

Shared design system with the web application where relevant, and staged rollouts through beta channels before public release.

Practice 04

UI & UX Engineering.

Interface design carried through to production, not lost between designer and developer.

We treat interface design as an engineering discipline that produces working software, not as a set of static screens to be interpreted downstream. Designers and engineers work in the same room and share the same repository.

Business use cases
  • —Products where the interface is the product
  • —Consolidation of fragmented tools into a coherent experience
  • —Design systems that need to survive multiple product teams
Main capabilities
  • ·Interaction design, information architecture, content structure
  • ·Accessible components validated against WCAG
  • ·Design tokens shared between design and code
  • ·Usability review with real users
Expected business value

Users spend less time fighting the software and more time doing the work it exists to support. Support cost falls and adoption improves.

Delivery approach

Prototypes in code as early as possible. Design decisions land in the codebase in the same pull request as their engineering counterparts.

Practice 05

Cloud Architecture.

Cloud estates that are deliberately shaped rather than accidentally grown.

Most organisations do not have a cloud problem; they have a cloud sprawl problem. We help teams architect and consolidate their cloud footprint so that cost, security and reliability become predictable.

Business use cases
  • —Green-field platform builds on AWS, Azure or Google Cloud
  • —Consolidation of accumulated infrastructure across acquisitions
  • —Multi-region and multi-account architectures with strict isolation
Main capabilities
  • ·Landing zones, account structure, network segmentation
  • ·Infrastructure as code with Terraform
  • ·Cost governance and financial visibility
  • ·Disaster recovery and business continuity planning
Expected business value

An infrastructure that can be reasoned about. Bills are explainable, incidents are recoverable, and new environments take hours rather than weeks.

Delivery approach

Reference architecture, incremental migration, guard-rails encoded in policy-as-code, hand-over to the client's platform team.

Editorial imagery accompanying the Cloud Architecture practice
Practice 06

DevOps & Platform Engineering.

Developer platforms that make good engineering the path of least resistance.

We build the internal platforms that make shipping software safe and repeatable: pipelines, environments, deployment mechanics, secrets, observability and the guard-rails that keep them coherent.

Business use cases
  • —Teams whose deployments have quietly become dangerous
  • —Organisations standardising a developer platform across product lines
  • —Companies preparing for external security or availability audits
Main capabilities
  • ·CI/CD design in GitHub Actions, GitLab, Buildkite
  • ·Kubernetes as a workload substrate
  • ·Progressive delivery, canary and blue/green strategies
  • ·Observability with OpenTelemetry, Prometheus and Grafana
Expected business value

Deployments become an ordinary event. Time-to-recovery falls. The organisation stops fearing its own release process.

Delivery approach

Existing state assessed first, minimum-viable platform delivered next, then continuous refinement in partnership with the internal team.

Practice 07

API Development & System Integration.

Well-shaped interfaces between systems that were not designed to speak to each other.

Modern organisations run on the seams between systems. We design and implement the APIs, event streams and integration layers that turn a collection of tools into a coherent business platform.

Business use cases
  • —Integrations between core systems and modern applications
  • —Public and partner APIs used by external developers
  • —Migration from point-to-point integrations to event-driven architectures
Main capabilities
  • ·REST, GraphQL and gRPC API design
  • ·Event streaming with Kafka and equivalents
  • ·Message contracts and versioning discipline
  • ·Authentication, rate limiting and quota management
Expected business value

Systems that combine cleanly, evolve independently, and continue to work as their counterparts change.

Delivery approach

API design first, in writing, agreed before implementation. Consumer-driven contracts where they add value.

Practice 08

Data Engineering.

Pipelines that do not break in silence, and warehouses that reflect the business.

Most data problems are engineering problems in disguise. We build the pipelines, warehouses and quality mechanisms that make analytical and operational data trustworthy enough to make decisions from.

Business use cases
  • —Consolidation of fragmented data across product and business systems
  • —Modernisation of overnight batch jobs into streaming pipelines
  • —Preparation of clean, versioned data for downstream analytics or AI
Main capabilities
  • ·Warehouse design in PostgreSQL, BigQuery, Snowflake and ClickHouse
  • ·Pipelines in Airflow, dbt, Dagster and streaming frameworks
  • ·Data contracts, testing and lineage
  • ·Master-data and reference-data management
Expected business value

Analysts, operators and models finally trust the numbers. Reporting stops being a rescue mission at the end of every month.

Delivery approach

Business definitions agreed first, models expressed as code, transformations versioned and tested like any other software.

Editorial imagery accompanying the Data Engineering practice
Practice 09

Analytics Solutions.

Analytical products that decision-makers actually consult before making a decision.

Dashboards are cheap; analytical products that change behaviour are not. We help teams design measurement frameworks and build the interfaces that make them operationally useful.

Business use cases
  • —Operational dashboards for finance, growth and product teams
  • —Executive reporting for boards and investors
  • —Embedded analytics inside a client's own product
Main capabilities
  • ·Metric definition and semantic layers
  • ·BI implementations in modern tooling
  • ·Custom analytical interfaces built as first-class products
  • ·Cohort, funnel and retention analysis frameworks
Expected business value

Decisions are made with reference to numbers everyone agrees on, produced from data everyone trusts.

Delivery approach

A small number of high-value dashboards delivered first, then a broader roll-out once the measurement framework is stable.

Editorial imagery accompanying the Analytics Solutions practice
Practice 10

Artificial Intelligence Integration.

Language models and machine learning applied to real workflows, not as a headline feature.

We help organisations integrate modern AI capabilities into products and internal tools where they measurably improve an outcome. The work is engineering-led: retrieval, evaluation, guard-rails, cost and safety.

Business use cases
  • —Internal assistants over private documentation and structured data
  • —Automation of high-volume, low-complexity workflows
  • —Product features powered by language models with human oversight
Main capabilities
  • ·Retrieval-augmented generation over private data
  • ·Evaluation harnesses and model regression testing
  • ·Prompt engineering and structured outputs
  • ·Integration with existing identity, logging and compliance systems
Expected business value

AI features that survive their pilot. Measurable improvements in throughput, response time or cost, with the guard-rails to prove them.

Delivery approach

Prototype against real data first, evaluate honestly, harden second. No feature ships without an evaluation baseline.

Practice 11

Cybersecurity Consulting.

Security assessed, hardened and prepared for external examination.

We work with security teams and CTOs to assess the current posture of a system, identify meaningful risks and implement the technical controls that address them. Framework alignment is treated as a consequence of good engineering, not the goal.

Business use cases
  • —Preparation for ISO 27001, SOC 2 or sector-specific audits
  • —Post-incident hardening and root-cause remediation
  • —Product-security reviews ahead of enterprise customer requirements
Main capabilities
  • ·Threat modelling and architecture review
  • ·Identity, access and secrets management
  • ·Application and cloud-configuration hardening
  • ·Incident readiness and tabletop exercises
Expected business value

A defensible security posture, expressible in writing, with evidence that will survive external review.

Delivery approach

Assessment first, prioritised remediation second, sustained programme third. Every recommendation is engineerable.

Editorial imagery accompanying the Cybersecurity Consulting practice
Practice 12

Software Modernisation.

Careful reconstruction of systems whose business value cannot be lost in transit.

Legacy systems usually encode more institutional knowledge than anyone remembers. We modernise them without erasing that knowledge, by treating the existing behaviour as a specification rather than an obstacle.

Business use cases
  • —Monoliths that have become impossible to change safely
  • —Applications on runtimes that are approaching end-of-life
  • —Systems that must be migrated to modern cloud environments intact
Main capabilities
  • ·Behavioural characterisation of the existing system
  • ·Incremental strangler-fig migrations
  • ·Data migration with reconciliation and rollback
  • ·Modernisation of surrounding operational tooling
Expected business value

A system that behaves the way the previous system did, on infrastructure that a modern team can actually operate.

Delivery approach

Reverse-engineered behavioural spec, incremental cut-over, parallel run, retirement. Nothing ships without reconciliation.

Editorial imagery accompanying the Software Modernisation practice
Practice 13

Quality Assurance & Testing.

Quality expressed as a property of the process, not a final phase.

We embed quality assurance into engineering rather than layering it on afterwards. The result is fewer regressions, shorter release cycles and a codebase that tolerates change.

Business use cases
  • —Products with strict release cadences and high user visibility
  • —Regulated environments where audit trails are non-negotiable
  • —Rescue engagements after a regression-heavy release history
Main capabilities
  • ·Test strategy across unit, integration and end-to-end levels
  • ·Contract tests between services
  • ·Performance and load testing
  • ·Accessibility and cross-device verification
Expected business value

Regressions become rare. Release confidence increases. Time spent on hot-fixes drops meaningfully.

Delivery approach

Test strategy in writing, coverage where it matters, automation integrated with the release pipeline.

Practice 14

Technical Consulting.

Considered engineering advice for teams that already know their business.

Sometimes the deliverable is not a system but a decision. We work with technical leadership on architecture reviews, technology selection, hiring plans, delivery organisation and strategic sequencing.

Business use cases
  • —Second opinions on architectural direction
  • —Due-diligence support during technical acquisitions
  • —Structural review of an engineering organisation
Main capabilities
  • ·Architecture and code-base assessment
  • ·Delivery-process and organisational review
  • ·Vendor and platform-selection analysis
  • ·Executive-level technical briefings
Expected business value

Decisions made with the benefit of experienced external perspective, documented in a form the organisation can act on.

Delivery approach

Time-boxed engagements ending in a written report and a decision recommendation, not an open-ended retainer.

Practice 15

Ongoing Maintenance & Support.

The quiet, careful work that keeps production software worthy of trust.

Once a system is live, the interesting work begins. We provide continuous maintenance, incident response and evolutionary development for systems we have built and, where appropriate, for systems we have inherited.

Business use cases
  • —Post-launch stewardship of a Lake Metier-built platform
  • —Managed engineering for teams without in-house capacity
  • —Structured support for systems inherited from prior vendors
Main capabilities
  • ·Monitoring, alerting and on-call rotations
  • ·Dependency, framework and runtime upgrades
  • ·Continued feature development on an agreed cadence
  • ·Security-patch management and vulnerability response
Expected business value

Software that continues to be an asset rather than gradually becoming a liability. Predictable operating cost.

Delivery approach

Written service agreement, monthly engineering rhythm, transparent reporting on what was done and why.