Startup Software Development

The smallest working system that puts real functionality in front of real users, not a clickable prototype. Typically 2-3 user flows that test the core value proposition, so you validate whether the problem is real before spending more on features for assumptions you haven't tested.

Full-stack web applications, from SaaS dashboards to marketplace platforms to internal operations tools. Built so adding a feature in month 6 doesn't force a refactor of what was built in month 1. Language and framework are chosen for your requirements, not default preferences.

iOS and Android apps: cross-platform when feature parity matters, native when the use case needs deep platform integration like HealthKit or ARKit. We've built food delivery apps with real-time tracking, booking platforms, IoT dashboards, and on-device AI tools, with App Store and Play Store launch included.

AI-native products built with production engineering, not just API wrappers: LLM integrations with streaming and tool use, RAG systems grounded in your data, and agent workflows for multi-step automation. Evaluation pipelines run alongside so you can measure quality before launch and catch regressions after. These ship as production systems, not demos.

Multi-tenant SaaS platforms built around the architecture decisions that set your trajectory: tenant isolation, subscription billing, feature flags, and admin tooling your team can run without engineering. B2B and B2C models are handled differently, with RBAC, SSO, and audit logging where the enterprise buyer needs them.

Two-sided marketplace platforms where the core product is matching supply and demand: onboarding with verification, search and ranking, booking with availability management, payment routing, and dispute workflows. On-demand platforms add real-time dispatch and live location tracking. We've built food delivery platforms, booking systems, and B2B marketplaces.

We don't start writing code until the scope is clear: a discovery session, wireframes to validate the flows, and a defined scope document before the fixed cost is set. Feature prioritization uses MoSCoW to separate the core value proposition from the nice-to-haves, because scope creep kills startup timelines faster than any technical problem. Wireframes covering the critical user journeys are reviewed with you before the engineering estimate, so UI decisions are approved before implementation, not made mid-sprint.

We quote a fixed cost based on defined scope. The cost doesn't change unless the scope changes, and any mid-project change comes with its cost impact stated up front. No hourly billing, no surprises at invoice time. The standard seed-stage stack is battle-tested, well-documented, and hireable, so your future engineering team will already know it.

We build in sprints with deployed builds at the end of each. You see working software every two weeks, not a completed product at the end, so problems get caught while changes are cheap. Every sprint closes with a live walkthrough in a staging environment you can test yourself, and performance monitoring runs from the first deployment. For AI-first products, evaluation runs validate prompt and retrieval changes against a quality baseline each sprint.

You own the repository, the infrastructure, and the code from day one. The repo sits under your organization from the first commit, infrastructure runs in your own cloud account, and all third-party credentials are registered to you. The codebase ships documented, with Architecture Decision Records explaining the choices your future engineers will ask about, so your first hire can be productive without a week of knowledge transfer from us.