Startup Software Development
Launch a useful first release with senior engineering, clear scope, and custom-code handoff. AI features are optional; your product goal comes first.
Why Startups Choose Somnio
Speed to Market
General MVP pricing and timelines are scoped individually. Our focused AI MVP specialization starts at $20K with a 12-week target when requirements fit, not a default for every startup.
- Weekly demos keep you in control
- GitHub access from day one
- Launch-ready, not prototype-ready
Clear Project Commitment
Agree on deliverables, acceptance criteria, exclusions, price, and change control before implementation. Hosting, API usage, and third-party licenses are identified separately.
- Fixed pricing, no surprises
- Senior developers, not junior rates
- No agency bloat, just results
What We Build for Startups
MVPs
Get to market fast with minimum viable products that validate your idea.
SaaS Platforms
Multi-tenant platforms with subscriptions, billing, and user management.
Mobile Apps
Cross-platform apps that work everywhere with native performance.
AI Features
Chatbots, recommendations, automation—whatever AI your product needs.
The Startup Journey
Discovery
Define core features, user flows, and technical approach
Build
Weekly sprints with demos, shipping features every week
Launch
Production deployment, monitoring, and iteration
Grow
Optional retainer or a separately scoped next phase with Somnio or another developer
For 30 days after delivery, Somnio will correct verified defects at no charge when custom code does not function as specified in the agreed requirements. New features, changed requirements, and third-party service changes are excluded; the signed agreement controls final warranty details. Ongoing maintenance and development are optional, separately scoped work.
Industry fit
How Somnio scopes startup software
Direct answer
Somnio helps startups launch the smallest product loop that can prove user value, pricing, or investor traction without wasting runway. The first release should include owned source code, weekly demos, and the operational basics needed for real users, not a broad prototype wishlist.
Startup software work starts with runway, validation, and ownership constraints. Somnio helps founders separate the product loop that must launch now from the features that can wait until users, revenue, or investor feedback prove the next milestone.
First release should include
Launch with onboarding, authentication, one core workflow, admin support, billing or lead capture when needed, analytics, deployment, and handoff notes that a future team can extend.
Defer until the workflow proves value
Deep integrations, advanced reporting, complex permissions, native apps, and AI automation should wait unless they are required to test the paid or repeated workflow.
Measurable outcome
The scope should prove activation, payment intent, user retention, manual support load, or investor-ready traction before the founder funds the next feature set.
Example first scope
A SaaS MVP with sign-up, Stripe subscription, account dashboard, one repeated workflow, admin support view, email notifications, and deployment monitoring.
Workflow first
We map the first customer journey, the admin work behind it, and the weekly demo path so the team can test a real workflow instead of polishing a broad prototype.
Integration plan
Startup MVPs often need payments, AI APIs, email, analytics, scheduling, or CRM handoffs. We scope integrations around launch learning and avoid brittle vendor lock-in.
Ownership
Upon full payment, you own project-specific custom code under the signed agreement, with source code, documentation, and deployment instructions. Pre-existing tools and open-source components retain their licenses. An optional retainer is not required for ownership or continuing with another developer.
Concrete example
Paid SaaS loop: trial onboarding, subscription checkout, customer dashboard, cancellation rules, and founder admin tools for support.
Second example
AI workflow MVP: user input, prompt controls, result review, feedback capture, usage limits, and fallback handling for failed model responses.
Related planning paths