--- title: MVP Development Services for Startups | Avinya Labs description: MVP development by Avinya Labs: launch a first release that customers choose, on a foundation built to grow, across web, iOS and Android. url: /service-pages/service-mvp.html --- Software development / MVP development # MVP development that is built to launch and engineered to grow. We ship a first release customers will choose, on an architecture that does not need rebuilding once it works. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-mvp.html#solutions) [20+Product modules](/case-studies/project-nova.html) [5-stage Connected workflow](/case-studies/construction-fitout-ai-platform.html) [3 Client apps on one backend](/case-studies/project-nova.html) ## MVP development services. Everything a first release needs, and nothing it does not. ### Product scoping Shape the first release around the one job customers will pay for. ### Lovable, not just viable A narrow first release that does one job well enough for customers to choose it. ### Web and mobile Launch on the web, iOS and Android from one shared backend when the product needs it. ### AI features Build AI into the core of the product where it creates the value. ### Payments Subscriptions, plans and payments through providers such as Stripe. ### Analytics from day one Product analytics so you learn from real users straight away. ### Modular architecture Business domains separated so new features do not mean a rewrite. ### QA and releases Testing and production releases handled properly from the first version. ### From MVP to scale The same team keeps building as the product grows. ## Products we took from first release to scale. Each result comes from a delivered engagement. AI · Social ### Project Nova: AI social discovery platform Native iOS and Android apps and a React and Next.js web platform on one backend, with AI-assisted discovery. UK. 3 apps on one shared backend Link: /case-studies/project-nova.html AI · Construction ### AI SaaS for fit-out & construction An AI SaaS platform from drawing to quotation, for English and Chinese-speaking teams. 5-stage connected workflow Link: /case-studies/construction-fitout-ai-platform.html AI · EdTech ### Project Atlas: AI e-learning platform AI study paths, video lessons, live virtual classes and certificates across iOS, Android and web. Australia. 9 core platform modules Link: /case-studies/project-atlas.html ## Have a product you want in customers' hands? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## The technology behind our products. Chosen per product. This is what our delivered platforms run on. ### Mobile Apps for iOS and Android - Native iOS - Native Android - Apple Pay - Google Pay ### Web The web platform - React - Next.js ### Media Video and notifications - Video streaming - Push notifications ### Backend One shared backend - Ruby on Rails - REST APIs - Real-time messaging ### Data Product data and real-time features - PostgreSQL - Redis ### Cloud and app services Where it runs - AWS - Firebase ### Payments and analytics Revenue and product insight - Stripe - Amplitude ### AI Models and orchestration - OpenAI - Anthropic Claude - OpenRouter - LangChain - Langfuse Used in our delivered platforms ## From idea to a product people choose. Four stages, with a working version reviewed at each one. ### Discovery Map the product, the systems and data involved, and what good looks like. Discovery notes - The customer and the job to be done - What the first release must prove - What can wait ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution design - Architecture that can grow - Release scope and milestones - Success measures ### Build Build against real data, with a working version reviewed at each milestone. Working build - Working product at each milestone - Early user feedback - QA and regression tests ### Ship & support Roll out to production with monitoring and a defined support window. Production rollout - Production launch - Product analytics - Roadmap for the next release ## Why Avinya for your MVP. Launch fast without building something you will throw away. ### Built to grow Project Nova launched on 7+ modular business domains, so it keeps evolving instead of being rebuilt. ### Real SaaS, not a prototype Our construction AI SaaS launched with payments and model orchestration built in. ### Web and mobile together One shared backend serving web, iOS and Android. ### We stay after launch The team that built the MVP builds the next releases. ## Results from products we launched. Each number links to the engagement it came from. 20+ Product modules Social discovery platform → Link: /case-studies/project-nova.html 5-stage Connected workflow Construction platform → Link: /case-studies/construction-fitout-ai-platform.html 9 Core platform modules E-learning platform → Link: /case-studies/project-atlas.html ## Engagement models. Pick the shape that fits where you are. Ongoing ### Dedicated team A dedicated team that works as an extension of yours, from first release to scale. Fixed scope ### Project-based A defined scope, milestones and delivery date for a specific product or workflow. Advisory ### Consulting & advisory Architecture and readiness advice before you commit to a build. ## What our clients say. AI SaaS for construction > “We needed a platform that could handle complex construction workflows without breaking down every week. Avinya Labs delivered exactly that. What stood out even more was their commitment after launch: when a critical issue came up, the team stayed up until midnight to make sure we weren't left hanging.” JohnCEO, Craft X Result 5-stage Connected workflow [Read case study →](/case-studies/construction-fitout-ai-platform.html) AI platform for an insurance broker > “Avinya Labs built our full-stack AI solution … Their expertise accelerated our launch and significantly reduced execution risk.” SandraProject lead, Insurance broker [Read case study →](/case-studies/ai-platform-insurance-broker.html) AI chatbot for a travel platform > “Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.” LauraCo-founder, Travel platform [Read case study →](/case-studies/ai-travel-chatbot.html) ## MVP development FAQs. ### What is an MVP? A minimum viable product is the smallest first release that proves customers want what you are building. We usually aim for a minimum lovable product: small, but good enough that customers choose it. [Read our MLP vs MVP guide](/blog/minimum-lovable-product-vs-mvp.html). ### Will we have to rebuild the MVP later? We design the first release on a modular architecture, so it can grow. Project Nova, for example, was built as a foundation for continuous product evolution rather than a fixed-feature MVP. ### Can the MVP include AI? Yes. Our construction AI SaaS and Project Nova both launched with AI in the core of the product. ### Can the MVP launch on mobile and web? Yes. We can launch web, iOS and Android from one shared backend, or start with one platform and add the others. ### How long does it take? It depends on scope, platforms and integrations. We agree milestones up front and review a working version at each one. ### Who owns the code? Ownership, licensing and handover are agreed in the contract before work starts. ## Ready to turn your vision into reality? Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/work/index.html) Or email [contact@avinyalabs.co](mailto:contact@avinyalabs.co)