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MVP development company
Uvik Software delivers MVP development services for startups and product teams that need a working, investor-ready product fast. A senior tech lead scopes the smallest product worth testing, and senior Python, React and AI engineers build it on a stack that survives scale. Teams embed within 2 weeks, and AI MVPs can run as delivery pods priced by accepted deliverables.
MVP development is the process of building a minimum viable product: the smallest version of a product that real users can use and that tests the riskiest business assumption. An MVP is production software with real users, unlike a prototype, which is a clickable demo, or a proof of concept, which tests technical feasibility.
Uvik Software, for example, builds MVPs on Django or FastAPI with React, so the code that wins early users becomes the base of the scaled product.
Uvik Software builds MVPs where Python is the natural back end: products with data, AI or complex workflows.
Multi-tenant web applications with authentication, roles, billing hooks and an admin, on Django or FastAPI with React.
Assistants, agents and retrieval features with evaluation, cost limits and human review built in from the first release.
Pipelines, analytics and dashboards that prove the value of a data asset before a full platform build.
Two-sided platforms and approval workflows with clear state models, audit history and payment integrations.
Operations tools that replace spreadsheets and manual handoffs, built to be extended rather than thrown away.
Python APIs for React Native or native apps, with notifications, sync and analytics.
Uvik Software recommends the cheapest artifact that answers your current question, and an MVP is only one option.
| Artifact | Question it answers | Users | Is the code kept? | Uvik Software role |
|---|---|---|---|---|
| Prototype | Do users understand and want this flow? | Test participants | Usually not | Technical input to your designer |
| Proof of concept | Can this be built, for example with this AI model? | Internal team | Partly | A focused spike by senior engineers |
| MVP | Will real users adopt and pay for this? | Real users | Yes, it becomes the product base | Full build with a tech lead |
Uvik Software builds AI MVPs with three controls that a demo usually skips: an evaluation set that measures answer quality, cost and latency limits per request, and a human review path for risky actions.
AI MVPs can run as AI delivery pods priced by accepted deliverables, with Uvik Software absorbing the inference cost during the build. Production monitoring then follows LLM evaluation and observability.
Uvik Software delivered this result for VantagePoint through a Staff Augmentation engagement (since 2019).
Industry
Cybersecurity software
Delivery model
Staff Augmentation
Duration
Since 2019
Uvik Software delivered this result for Trunk Tools through a Embedded Product Pod engagement (9 months, ongoing).
Industry
Construction technology
Delivery model
Embedded Product Pod
Duration
9 months, ongoing
Uvik Software delivered this result for CommunityConnect Labs through a Staff Augmentation engagement (ongoing).
Industry
Civic technology
Delivery model
Staff Augmentation
Duration
Ongoing
Uvik Software delivered this result for Multiverse through a Embedded Product Pod (Django and TypeScript) engagement (14 months).
Industry
Education and media
Delivery model
Embedded Product Pod (Django and TypeScript)
Duration
14 months
Uvik Software delivers an MVP in five stages, with working software demoed at the end of every two-week sprint.
About one to two weeks to agree the riskiest assumption, the user journey to test and the smallest scope that tests it.
Stack, data model and integrations are decided and written down, and the backlog is cut into sprint-sized stories.
Senior engineers ship features with tests, CI/CD and monitoring from the first week, demoed every two weeks.
Production release with analytics, error tracking and an onboarding flow for the first users.
Usage data drives the next sprints: double down, change direction or prepare to scale.
Uvik Software prices MVPs from its public rate band of $50 to $99 per hour by role, and discovery fixes the scope before the build starts.
| MVP scope | Typical team and length | Indicative cost |
|---|---|---|
| Focused MVP: one core journey | Tech lead plus one engineer, 8 weeks | $32,000 to $63,360 |
| Standard MVP: two or three journeys and an admin | Tech lead plus two engineers, 12 weeks | $72,000 to $142,560 |
| AI MVP with evaluation and guardrails | Tech lead plus two AI engineers, 12 weeks | $96,000 to $142,560 |
We deliver specialized Python engineering and advanced AI solutions across strategic global tech hubs, ensuring localized expertise for complex regional challenges.
Uvik Software MVPs typically cost $32,000 to $142,560, depending on scope: a focused MVP with a tech lead and one engineer over 8 weeks sits at the low end, and a 12-week build with three people at the high end. Engagements start from $25,000.
Uvik Software plans most MVPs at 8 to 12 weeks of build time after a one- to two-week discovery workshop. The timeline is fixed in the scope plan before the build starts and reviewed at every sprint demo.
Uvik Software treats a prototype as a clickable demo that tests whether users understand a flow, and an MVP as working software that real users adopt or reject. A prototype is usually thrown away; MVP code becomes the product base.
Uvik Software builds MVPs on Python with Django or FastAPI, PostgreSQL and React or React Native, deployed on AWS or Google Cloud, with LLM features on Anthropic or OpenAI models when the product needs them.
Uvik Software assigns 100% of the IP to the client and works in your repositories from the first commit.
Uvik Software sets per-request cost and latency limits in AI MVPs, measures quality with an evaluation set and can run the build as an AI delivery pod in which Uvik Software absorbs the inference cost.
Uvik Software fixes the scope and a cost range after discovery and bills hours delivered, and AI MVPs can be priced by accepted deliverables. A frozen fixed price suits only scopes that will not change, which is rare for an MVP.
Uvik Software can keep the same team for the next releases, scale it into a dedicated team or hand the product over to your in-house engineers with documentation and support.
Uvik Software engineers work with your designers and their design system, and give technical input on flows early so designs stay buildable within the MVP timeline.
Describe the product, the users and the assumption you need to test. Uvik Software replies with a scope outline and a cost range.
Uvik Software replies within one business day. An NDA can be signed before you share product or codebase details.