Services
Engineering capability across the product lifecycle
Five practices that combine into whatever your situation needs — from a first release to a modernization programme running alongside a live business.
Capability
One team across the product lifecycle
Most companies do not need a single service. They need a product engineered properly, deployed reliably, kept secure and staffed adequately — often at the same time. Our practices are organised so a team can span them without you managing five vendors.
Every engagement starts from the outcome. We work backwards from what has to be true in six months, then decide what to build, what to buy and what to leave alone.
Business challenges
The problems these services exist to solve
If more than one of these is true for you, they are usually connected — and worth solving together.
The roadmap is longer than the team
More validated demand than capacity to build it. Hiring is slow, and the cost of waiting is measured in quarters of lost ground.
The first version cannot carry the second
Decisions that suited a prototype now slow every change. Each feature costs more than the last and nobody is sure why.
AI is expected but nobody has shipped it
There is board-level pressure to adopt AI and legitimate uncertainty about where it genuinely helps, what it costs and how to keep it safe.
Releases are risky, so they are rare
Manual deployment and thin test coverage make shipping an event. Batches grow, and each release becomes riskier than the last.
Enterprise deals stall on platform gaps
SSO, audit logs, role management and a completed security questionnaire arrive as contract blockers, not feature requests.
A critical system nobody wants to touch
Undocumented, untested and business-critical. The people who wrote it have gone, and the risk of change now exceeds the risk of stagnation.
Service categories
Five practices
Each links to a full page covering capabilities, delivery process, technology and typical deliverables.
AI & Automation
Applied AI engineering — assistants, agents, document workflows and automation — built on your data with evaluation and guardrails from day one.
- AI Consulting
- Generative AI and LLM Development
- AI Agent Development
- Enterprise Chatbots
Product Engineering
SaaS platforms, custom software and MVPs engineered for multi-tenancy, billing, security and the release cadence a growing product needs.
- SaaS Development
- Custom Software Development
- MVP Development
- Enterprise Applications
Web & Mobile
Web applications, mobile apps, commerce experiences and product design — built for performance, accessibility and conversion.
- Web Application Development
- Mobile Application Development
- E-commerce Development
- UI/UX and Product Design
Cloud, Data & DevOps
Cloud architecture, delivery pipelines, data platforms and observability — engineered for reliability, cost control and safe, frequent releases.
- Cloud Engineering
- DevOps and CI/CD
- Data Engineering
- Analytics and BI
Modernization & Quality
Legacy modernization, quality engineering, test automation, application security and managed support — delivered incrementally, without a big-bang rewrite.
- Legacy Modernization
- Quality Engineering
- Test Automation
- Application Security
Featured solutions
Packaged approaches to common situations
Where a service describes a capability, a solution describes a starting point and a route through it.
Build an MVP
A narrow first release built to production standards — one complete journey, deployed, instrumented and ready to learn from.
See the approachLaunch a SaaS Product
Multi-tenant architecture, billing, entitlements, admin tooling and the enterprise readiness that unblocks larger deals.
See the approachAdd AI to Your Product
A production AI feature inside your existing codebase — with evaluation, guardrails, cost control and observability included.
See the approachAutomate Business Workflows
Event-driven automation across your existing systems — intake, classification, routing, approval and reporting, with exception handling that a business owner can operate.
See the approachModernize Legacy Applications
Incremental modernization using the strangler pattern — assessment, a test safety net, capability-by-capability migration, and no big-bang cutover.
See the approachScale Engineering Capacity
Vetted engineers and managed pods integrated into your process, with a defined onboarding path and a clear replacement policy.
See the approach
Delivery process
How the work runs
Adapted per engagement, but the shape stays the same — and every stage produces something reviewable.
Discovery
We start by understanding the business outcome, the users and the constraints. Short, focused and always ending in a written brief you can act on — including where we disagree with the original framing.
- Problem statement
- Success measures
- Constraints and risks
Product strategy
Scope shaped around outcomes rather than a feature list. We sequence work so the riskiest assumptions are tested first and the first release is small enough to actually ship.
- Scoped release plan
- Prioritised backlog
- Deferral list
UX design
Information architecture, journeys and interface design produced as a reusable system. Prototypes are validated with real users before engineering time is committed.
- Journey maps
- Prototypes
- Design system
Architecture
Data model, service boundaries, integration points and non-functional requirements agreed and written down, with the reasoning recorded so future teams understand the trade-offs.
- Architecture document
- Decision records
- Environment plan
Agile engineering
Two-week cycles ending in working software in a real environment. Weekly demos, a visible backlog and no status that only exists in a slide.
- Working increments
- Demo recordings
- Sprint reports
Quality assurance
Automated tests at the right layers, accessibility and performance checks in the pipeline, and exploratory testing on critical journeys before every release.
- Test suites
- Quality reports
- Release readiness criteria
Deployment
Staged rollout through automated pipelines with monitoring in place before traffic arrives, and a rollback that takes one action.
- Release plan
- Runbooks
- Monitoring and alerts
Continuous support
Post-launch monitoring, incident response, dependency upkeep and a steady flow of improvements — or a structured handover to your team.
- Support agreement
- Monthly reporting
- Improvement backlog
Engagement models
Four ways to work with us
Chosen against how much engineering management capacity you have, not against budget alone.
Dedicated Developers
A team that needs specific skills and already has engineering management in place.
Individual engineers who join your team full time, work in your repository and your process, and report to your leads. You direct the work day to day.
- Full-time engineers matched to your stack and domain
- Your tooling, ceremonies and definition of done
- Structured onboarding with a defined first contribution
- Technical backup from our practice leads at no extra cost
- Defined replacement policy with an overlap period
- Managed by
- You
- Commitment
- Monthly, typically three months minimum
Team Extension
Scaling an existing team quickly while keeping product direction fully in-house.
A group of engineers integrated into your existing team structure. Your leads set priorities and run the process; we handle recruitment, retention, performance and continuity.
- Multiple engineers onboarded together as a group
- Integration into your existing squads and rituals
- Shared standards, review process and quality gates
- Capacity that flexes up or down with notice
- Knowledge documented as part of delivery
- Managed by
- You, with our engineering support behind the team
- Commitment
- Monthly, typically three months minimum
Managed Delivery Pods
Owning an outcome end to end when you do not have management capacity to spare.
A cross-functional pod — engineers, QA, design and a delivery lead — that takes a defined scope and runs it. You set priorities and review outcomes; we run the delivery.
- Cross-functional pod with a named delivery lead
- Sprint planning, estimation and reporting handled by us
- Quality engineering and design included in the pod
- Weekly demos and a visible backlog
- Accountability for agreed outcomes, not just hours
- Managed by
- Xalicon
- Commitment
- Quarterly, aligned to a defined scope
Offshore Development Centre
Building a durable long-term engineering capability outside your home market.
A dedicated long-term team operating as your extended engineering function, with its own hiring plan, career development and delivery structure aligned to your organisation.
- Dedicated long-term team built to your hiring profile
- Your branding, tooling and engineering culture
- Recruitment, HR, facilities and retention handled by us
- Defined governance, reporting and escalation structure
- Optional path to transition the team in-house
- Managed by
- Shared governance between your leadership and ours
- Commitment
- Annual, with a defined growth plan
Technologies
What we build with
Frontend
Interfaces built for performance, accessibility and long-term maintainability.
- TypeScript
- React
- Next.js
- Remix
- Vue and Nuxt
- Tailwind CSS
- Storybook
Backend
Services designed around clear boundaries, typed contracts and operational visibility.
- Node.js
- Python
- Go
- .NET
- Java and Spring Boot
- GraphQL
- Temporal
Mobile
Cross-platform by default, native where the product genuinely requires it.
- React Native
- Expo
- Flutter
- Swift
- Kotlin
AI and machine learning
Model-agnostic engineering with evaluation and guardrails as standard.
- Anthropic Claude
- OpenAI
- Google Gemini
- Open-weight models
- pgvector and Qdrant
- LangGraph
- Langfuse and OpenTelemetry
Data
Pipelines and warehouses with tested transformations and monitored quality.
- PostgreSQL
- ClickHouse
- Snowflake and BigQuery
- dbt
- Airflow
- Kafka and Debezium
- Redis
Cloud and infrastructure
Everything defined in code, reproducible from a clean account.
- AWS
- Google Cloud
- Azure
- Terraform
- Kubernetes
- Vercel and Cloudflare
- Docker
Quality and security
Automated checks that make releases routine rather than eventful.
- Playwright
- Vitest and Jest
- k6
- axe-core
- Semgrep and Snyk
- Trivy
- Lighthouse CI
Related work
Worked examples
Illustrative engagements showing the method end to end. Clearly labelled as sample content.
- HRTechSample content
An applicant tracking platform with explainable candidate matching
A recruitment platform where structured CV parsing and explainable matching cut screening time without removing recruiter judgement.
- Next.js
- TypeScript
- Node.js
- PostgreSQL
- FinTechSample content
Multi-tenant billing and entitlements for a growing SaaS platform
Retrofitting organisations, entitlements and usage-based billing into a product originally built for individual users.
- Next.js
- TypeScript
- Node.js
- PostgreSQL
- LogisticsSample content
Modernizing a logistics portal without pausing operations
Incremental migration of a business-critical customer portal and driver workflow using the strangler pattern, with no cutover event.
- Next.js
- TypeScript
- Node.js
- PostgreSQL
- HealthcareSample content
A patient portal that clinicians actually adopted
Placeholder case study. Appointments, results and secure messaging delivered against an immovable EHR, designed around clinician workload rather than around the feature list.
- Next.js
- TypeScript
- Node.js
- PostgreSQL
- E-commerceSample content
Replatforming a storefront without losing a peak season
Placeholder case study. A headless storefront migrated page type by page type, with checkout instrumented before anything was redesigned.
- Next.js
- TypeScript
- Shopify Hydrogen
- Algolia
- EdTechSample content
An assessment platform that holds up on results day
Placeholder case study. Timed assessment delivery engineered for concentrated load, with integrity controls and accessibility treated as requirements rather than settings.
- Next.js
- TypeScript
- Node.js
- PostgreSQL
Questions
Questions about working together
Start a conversation
Tell us which of these you need
Or describe the outcome and we will tell you. Thirty minutes with an engineer, no obligation.
Prefer email? contact@xalicon.co