"We are dedicated, reliable & committed to grow your business."
Custom software development for teams building real products
Multi-tenant SaaS, internal tools, dashboards, APIs. Built by senior engineers who've shipped this before — with auth, billing, RBAC, observability, and AI-native features wired in properly from week one.

Software products built to scale — not websites in disguise
Six software product types we ship
From multi-tenant SaaS to focused internal tools. Different problems, same engineering discipline.
Multi-tenant SaaS platforms
Greenfield SaaS products with auth, billing, organisations, RBAC, audit logs and a roadmap to scale. The infrastructure work that turns a prototype into a real business.
See approachInternal tools + dashboards
Operations tools, customer-success dashboards, internal admins. The unsexy systems that compound team velocity once they exist.
See approachAPIs + integration layer
REST + GraphQL APIs powering your apps and partner integrations. Typed contracts, proper versioning, real documentation engineers will use.
See approachMVP + prototype development
Founder-stage build to validate a real product idea. Lean architecture, real users in 4-8 weeks, no architectural debt that costs you later.
See approachAI-native SaaS features
LLM-backed features built into your product properly. Eval suites, cost discipline, fallback paths — not "we wrapped GPT and hoped."
See examplesLegacy modernisation
Take a working-but-painful PHP/Rails/Java codebase to a stack your team can hire for in 2026. Phased migration with no big-bang risk.
See approachSix steps for product engineering
Different from a marketing-site build — the discovery and architecture stages carry more weight.
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01
Discovery
User research, workflow mapping, north-star metric. Output: a product brief everyone — including engineers — signs off.
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02
Architecture
Data model, service boundaries, auth model, multi-tenancy strategy. Boring decisions, made deliberately, before any feature work.
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03
Design + prototype
Figma flows for the critical paths. Clickable prototype on real data by end of week 2.
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04
Build in sprints
Two-week sprints, deployed continuously to a staging environment you can actually use. Friday demos, no surprises.
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05
Observability + tests
Logging, metrics, error tracking, integration tests. The work that decides whether the product survives the first 100 users.
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06
Launch + handover
Phased rollout with feature flags. Full documentation handed over. 30 days of post-launch bug-fix coverage at zero cost.
How we approach custom software development
Jump straight to what you came for — every chapter unpacks a piece of how we ship websites that move the needle.
When custom software is actually the right call
A lot of "we need custom software" briefs are really "we need to configure Notion properly." We start every engagement by asking whether you actually need to build.
Custom software is right when (a) the workflow is core to how you make money, (b) off-the-shelf tools fundamentally don’t fit it, and (c) the cost of inefficiency at your scale exceeds the cost of a build. If any of those three is shaky, we will say so — sometimes the answer is “use Airtable + a Zapier flow for six months and revisit.”
When custom is right, the payback is real: a bespoke tool removes friction your team has been working around for years, and the productivity compound is meaningful within the first quarter.
How we pick a technology stack
The right stack depends as much on who maintains the code after launch as on the build itself.
For most SaaS work we default to TypeScript end-to-end (Next.js or NestJS on the back), Postgres for the database, and either Vercel or AWS for hosting. For internal tools, we lean lighter — TanStack libraries, focused single-purpose pages, no over-engineering. For heavy data or ML workloads, we add Python services and keep them isolated.
What we avoid: cutting-edge languages with shallow hiring pools, frameworks that solve problems we don’t have, and any stack that depends on a single maintainer’s blog for documentation.
What “MVP” should actually mean
An MVP is the smallest thing that delivers real value to a real user. It is not a feature-light v1 of your dream product.
We see two failure modes repeatedly. The first: stuffing the MVP with “must-have” features that turn a 6-week build into a 14-week build, and missing the validation window the founder was supposed to use it for. The second: an MVP so thin that no real user gets value, so no real learning happens.
The fix is unglamorous. Pick one workflow. Build it end-to-end so a real user can complete it. Skip everything that isn’t in the critical path. Ship in 4-8 weeks. Learn before building v2.
Pricing and timelines
Fixed-scope where it makes sense; monthly retainer where the scope is still in motion.
MVP builds: $30K-$80K, 6-12 weeks. Multi-tenant SaaS platforms: $80K-$250K depending on complexity, 3-6 months. Internal tools: $15K-$45K, 4-8 weeks. Retainers from $8K/month with 40-80 hours of senior engineering — most clients move to a retainer post-launch for steady-state feature work.
Tell us about the product you want to build
Two-minute form. We reply within 4 working hours.





