Core Services
Detailed service sections
SaaS Products
From discovery to growth, we build subscription products that solve real problems, retain users, and scale efficiently. We prioritise UX, data-driven roadmaps, and a pragmatic approach to AI features.
- Product discovery & market validation (JTBD interviews, competitor scans, smoke tests)
- MVP design & build (Next.js/TypeScript, shadcn/ui, Tailwind, Stripe, Postgres)
- AI-assisted workflows (content generation, scoring, insights, automation)
- Analytics & activation loops (onboarding, trials, paywalls, lifecycle emails)
- Security, compliance & billing (RBAC patterns, audit logs, GDPR/ICO considerations)
Typical delivery timeline
- Week 1 - 2: Discovery, scoping, success metrics
- Week 3 - 5: MVP build, first user tests
- Week 6 - 8: Beta launch, payments, analytics
- Ongoing: Growth experiments, iteration
Great for
- Founders validating a product thesis
- Teams spinning out internal tools into paid products
- SMEs modernising outdated spreadsheets/processes
Custom Platforms
Dashboards, portals, and internal tools tailored to your workflows with clean information architecture and role-aware access.
- Role-based dashboards, audit trails, and granular permissions
- Data integrations (REST/GraphQL, webhooks, ETL to Postgres/warehouse)
- Reporting & exports (PDF, CSV, Excel with client-side import/export)
- Performance-first UI with optimistic updates and offline-friendly patterns
- Deployment on Vercel/AWS with CI/CD and observability
Example use cases
- Client self-serve portals with SLA-backed support
- Compliance dashboards aggregating multi-system data
- Partner onboarding & verification workflows
Delivery options
- Fixed-scope build with milestones
- Agile squad extension (weekly cadence)
- Support retainer post-launch
Tech Consultancy
Get pragmatic guidance on architecture, stack choices, AI integration, cloud costs, and delivery strategy. We meet you where you are.
- Architecture reviews & technical roadmaps
- Build-vs-buy analysis and vendor selection
- AI/GenAI feasibility & safety considerations
- Cost optimisation (hosting, tokens, observability)
- Team enablement: code standards, DX, CI/CD
Workshop formats
- Half-day architecture review
- AI discovery sprint (2-3 sessions)
- Delivery retro & risk mapping
Outcomes you can expect
- Clear trade-offs with recommended approach
- Costed plan with timelines and risks
- Quick wins for the next 2 sprints
Comprehensive Solutions
End-to-end delivery across discovery, UX, engineering, integrations, optimisation and long-term support. One accountable partner from idea to impact.
- Full project ownership with weekly demos
- Design systems & accessibility baked in
- Multi-system integrations and data hygiene
- Performance & SEO foundations from day one
- Runbooks, incident response, and support SLAs
Governance & communication
- Weekly steering with action logs
- Roadmap tracking and risk register
- Shared dashboards for KPIs and budget
Next steps
- Share goals, constraints, and timelines
- We propose an approach & fixed milestones
- Kick-off within 1-2 weeks
Why work with us
We focus on pragmatic delivery, maintainable systems and business outcomes—not just code.
Selected case studies
A snapshot of problems solved and value delivered.
FAQs
Answers to common questions about scope, timelines, and engagement.
How long does an MVP take?
Typically 4-8 weeks depending on scope, integrations, and compliance.
Do you work fixed price or time & materials?
Both. We offer fixed-scope delivery and squad extensions with weekly cadence.
Who owns the IP?
You do. Code is transferred upon payment as per contract.
Do you provide support after launch?
Yes—retainers with SLAs or ad-hoc improvements as needed.