MVP Development Company
FISTA Solutions builds MVPs that answer a question rather than demonstrate an idea: the smallest version that proves the bet with real users, on foundations that will not need replacing at the first ten customers, instrumented so you learn what to build next.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What does MVP development include?
MVP engagements identify the riskiest assumption, define the smallest test of it, build a working product with the foundations that matter, instrument usage, and produce evidence and a recommendation rather than only a codebase.
- 01
Assumption and scope
The riskiest assumption named, and the smallest product that genuinely tests it defined in writing.
Definition - 02
Core product
The workflow that proves the bet, built properly rather than mocked, with real data and real users.
Build - 03
Durable foundations
Identity, data model, deployment, and instrumentation, because these are expensive to retrofit later.
Foundation - 04
Instrumentation
Analytics and feedback capture wired before launch so learning starts on day one.
Learning - 05
Evidence and recommendation
What the usage data shows and a written recommendation on what to build, change, or stop.
Outcome
Requirements
Which requirements shape MVP development?
MVPs fail by being too large, too fake, or unmeasured. Requirements centre on naming the assumption, building real functionality rather than prototypes, including only foundations that are hard to retrofit, and instrumenting from the first user.
| Requirement | Why it matters | How FISTA builds to it |
|---|---|---|
| Named assumption | MVPs without a question are just small products. | The riskiest assumption named in writing, with the evidence that would confirm or refute it agreed up front. |
| Real functionality | Prototypes do not produce real evidence. | Working product with real data, real integrations where necessary, and real users rather than demo flows. |
| Durable foundations only | Over-building wastes the runway. | Identity, data model, deployment, and instrumentation built properly; everything else deferred deliberately. |
| Measurement | Unmeasured launches teach nothing. | Analytics and feedback capture wired before launch, with the success metric agreed in advance. |
| Honest conclusions | Sunk cost distorts decisions. | A written recommendation from the evidence, including recommending against continuing when that is what the data shows. |
Where AI fits
Where does AI fit in MVP development?
AI fits MVPs in two ways: as a product feature when it is the differentiator being tested, and as a delivery accelerator where coding agents handle mechanical work under review — with evaluation kept lightweight but real.
- 01
AI as the bet
When the AI capability is what you are testing, it ships with a minimal evaluation harness from the start.
- 02
Faster delivery
Coding agents handle scaffolding and mechanical work under human review and CI, compressing timeline.
- 03
Synthetic testing
Generated test data and scenarios to exercise the product before real users arrive.
- 04
Feedback synthesis
User feedback and session data synthesized into themes with examples for the next decision.
Cost and timeline
How much does MVP development cost, and how long does it take?
Cost is driven by scope discipline more than by technology; timeline by decision speed and integration access. FISTA does not quote blind: the scoping call returns an MVP definition, a success metric, and a fixed-scope estimate.
Scope discipline is the whole game. FISTA pushes back on features that do not test the assumption, because every deferred feature is runway preserved for the version informed by evidence.
Fixed-scope pricing works well for MVPs because the scope is deliberately bounded. Change requests are handled as explicit decisions with cost rather than absorbed quietly.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver custom software?
FISTA delivers custom software in four phases: a discovery sprint that turns goals into a specification with acceptance criteria, an architecture and data design with integration contracts, two-week builds with automated tests and weekly demos, and a verified release with infrastructure-as-code, runbooks, and monitoring.
- 1
Discover and specify
Workshops, process mapping, and system inventory produce a specification with acceptance criteria and a phased plan.
OutputSpecification, estimate, roadmap
- 2
Architect
Data model, service boundaries, API contracts, security, and infrastructure decisions recorded with trade-offs.
OutputArchitecture decision records
- 3
Build and demo
Two-week sprints with unit, integration, and contract tests; a demo on your environment every week.
OutputWorking increments in your repo
- 4
Verify and release
Performance and security testing against the spec, infrastructure-as-code, runbooks, dashboards, and handover or managed operations.
OutputVerified release with SLOs
Why FISTA
Why choose FISTA Solutions for MVP development?
FISTA builds MVPs that produce evidence, on foundations that survive success, and reports honestly on what the data shows. Work is contracted through a US entity with full IP assignment.
MVP Development specifics
- The riskiest assumption and the evidence that would settle it are agreed in writing before the build starts.
- Only foundations that are expensive to retrofit are built now; everything else is deliberately deferred.
- Instrumentation is wired before launch, so learning begins with the first user rather than the first review.
- The engagement ends with a written recommendation from the evidence, including when that recommendation is to stop.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What buyers ask before a custom build.
Straightforward guidance for evaluating scope, fit, and the next step.
01How small should an MVP be?
Small enough to test the riskiest assumption and no smaller. If removing a feature would make the test meaningless it stays; if removing it only makes the product less complete, it goes.
02Will we need to rebuild it if it works?
Not the foundations. FISTA builds identity, data model, deployment, and instrumentation properly because they are expensive to retrofit, while deliberately deferring everything that can be added later.
03Can you fix a price for an MVP?
Yes, because the scope is deliberately bounded. Change requests are handled as explicit decisions with cost, which keeps both the budget and the scope honest.
04What do we get at the end?
A working product in users' hands, the code and infrastructure in your repositories, the usage evidence, and a written recommendation on what to build, change, or stop.
05How long does an MVP take?
Typically weeks to a few months depending on integrations and the assumption being tested. Discovery produces the definition and a fixed-scope estimate before you commit.
Scoped in writing before you commit
Answer the question before you build the product.
Bring the bet you need to test. The scoping call returns an MVP definition, a success metric, and a fixed-scope estimate.