AI-Powered MVP Development Services – Build & Launch in 8 Weeks

 

Validate, Build & Scale Your MVP Faster with AI-Powered Development. Cost-Plus Pricing for Total Transparency.

 

Reduce your investment and the time to value. As an MVP software development company, Digital Scientists minimizes your risk while providing total transparency with cost-plus pricing.

Schedule a Free MVP Strategy Call

Leverage the latest AI tools to build your MVP mobile app in under 2 months

GoFan – Black
COX 2M – Black
Mailchimp – Black

MVP Sizing and Costs

Our experienced team will guide you through our repeatable process to bring your new product or service to market. We share our expertise and business insights as our goal is to help you turn your MVP project into a business success.

Small (Proof of Concept)
Medium (Startup)
Large (Enterprise Startup)
Core features to validate hypothesis in shortest time period
Broader set of use cases to test product-market fit
Broadest set of use cases with higher complexity
Use Cases / Workflows
1 – 2
2 – 3
3+
Personas
1 – 2
2 – 3
3+
Complexity
Low
Medium
High
Integration
0-1
1 – 2
2+
Apps in Ecosystem (mobile, web, etc.)
1
2
2+
AI Modeling and Data Requirements
Low
Medium
High
Time frame
4 weeks
8 weeks
12-16+ weeks
Investment level
$25-$50k
$75- $125k
~ $200k+
Building an AI Capability
We also support the development of proprietary AI models that require data governance and an opportunity assessment.
See more about our AI Capabilities

 

MVP Development Process

Leveraging AI and rapid prototyping, we deliver a ‘minimum viable product’ into your user’s hands…so you can start learning.

Discovery

Understand the business problem, user needs, and key objectives. Validate the product concept and define the vision.

Product strategy, proof of concept, prioritized features

Blueprint

Define the product or service to solve the problem. Define technical architecture, user flows, wireframes, and visual design.

Project roadmap, technical specs, design assets, prototype

Develop & Launch

Develop the MVP through iterative sprints, incorporating user feedback and testing. Deliver core functionality to meet business goals.

MVP ready for market test & user validation

Grow

Post-launch, focus on scaling and optimizing based on user feedback and analytics. Add users and commercialize the product.

New features, enhancement, business growth

Our approach to MVP software development

  • Build – Using a rapid design and MVP software development process, our senior product development team will challenge your assumptions, diagnose problems, bring ideas and accelerate feedback through a “build-measure-learn” feedback loop.
  • Measure—Our MVPs follow a standardized process that helps guide your team through a series of steps, enabling us to better understand your business vision, product strategy, market dynamics, and customer journey. We are focused on measuring your success metrics.
  • Learn – We help get your product in front of your users quickly. Let us help you validate your digital product, service or AI model and resolve uncertainty before you scale.

Whether it’s a web application or mobile application or a new AI model that  you’re building, our U.S.-based company has 17+ years of experience assisting customers with MVP development services. We’re experts at going from nothing to something testable in a short timeframe. Once the concept is validated, we’re also here to partner with you all the way through commercialization.

Build – Measure – Learn helps develop solutions aligned with real user need

Why choose us?

Lean, senior teams

The best digital products are created by hands-on, teams of experts with extensive experience in crafting and deploying products at scale. The Scientists get close to your problems and your users. We aren’t training our team with your investment.

Prototyping and Validation

We prioritize user research and product discovery, completing design cycles and prototypes early on. Testing and validation occur at every phase of our process, informing early hypotheses and ensuring that the final product delivers utility for users.le ROI

Long term Partners

We serve as strategic partners. Together, we cocreate, prototype new concepts, and transition new services into tangible solutions. Our collaborative approach empowers clients to bring their ideas to market faster, ensuring a competitive edge in their industries

Now in Production after starting as an MVP

The 24/7 telehealth solution for patients, providers, and peace of mind.

All-in-one solution for ticketing, fundraising, concessions, sponsorships, and streaming.

The Smart Simple Solution for Vehicle Management

The social marketing channel built for small businesses

Our minimum viable product development process

The MVP software development process begins with an onsite or remote discovery workshop, in which we bring together our respective teams to discuss your goals, assumptions, culture, and direction. This baseline experience helps us quickly gain a deep understanding of your objectives and challenges and provides us with use cases that will help inform our direction. From there, we continue to collaborate with your team leaders on a weekly basis as we take you through each phase of our mvp development stages.

Bob Klein speaking in meeting

MVP development deliverables may include:

  • Competitive analysis
  • User interview insights and applicable research via presentation
  • User personas
  • Customer journey maps
  • UX designs, prototypes, and design systems
  • Walk-through design videos (project dependent)
  • Solution architecture documentation
  • Product requirements
  • Defined business and technical level roadmap
  • Testable application launched to beta group
  • Usability testing results
  • All code written and produced during the engagement
  • Inline code level documentation

Partners in innovation

Digital Scientists is a leading MVP development company that develops digital products and experiences for large and mid-sized companies. We are a unique collective of researchers, designers, and developers of the digital world who pride ourselves in producing exceptional services and experiences with a fast, highly disciplined team. For clients across a variety of industries, we build strong, lasting, collaborative partnerships, sparking a commitment to continuous innovation and progress.

We partner with our clients to help them reach their desired outcome – whether that’s reaching their Series A funding, getting their product concept validated in the hands of users, or working with them for years to come to continue the product innovation cycle. We’re honored to work with each of our clients and work hard to truly partner with them – not just complete a scope of work.

Innovate
Machine learning code image

Our latest insights

Check our Events
blog post From Developer to Orchestrator: The Evolution of a Software Engineer

From Developer to Orchestrator: The Evolution of a Software Engineer new

Navigating the Shift in Software Development Software development isn’t just changing—it’s evolving at breakneck speed. With AI growing smarter by the day and tech investments pouring in, developers are being nudged (or shoved) into redefining their roles. This isn’t just about picking up a new framework or adding “AI-powered” to…

View Post
blog post We are getting disrupted by AI, and this is what we are doing about it

We are getting disrupted by AI, and this is what we are doing about it new

A recent report from Menlo Ventures highlights a significant trend—code generation is the dominant generative AI use case, accounting for 51% of adoption. This underscores why AI-assisted development is no longer a niche concept—it’s quickly becoming the standard. This means the fundamental role of engineers is evolving in software development. Instead…

View Post
blog post Hybrid Team Value: Cost-Plus Pricing & Shared Accountability

Hybrid Team Value: Cost-Plus Pricing & Shared Accountability

Summary: CTOs face tough trade-offs between costly local talent and unreliable outsourcing. Digital Scientists’ hybrid team model blends U.S. leadership with nearshore development for quality, cost control, and rapid delivery. Proven in AI MVPs, healthcare tech, and platform modernization, this approach delivers efficiency, innovation, and real results. What CTOs Actually…

View Post
1

What is Lean Startup?

Lean Startup is a methodology focused on building products through rapid experimentation, validated learning, and iterative development. The goal is to minimize risk by launching quickly, learning from user feedback, and making data-driven decisions.

2

What is an MVP in Lean Startup?

An MVP (Minimum Viable Product) is the simplest version of a product that allows for quick testing and learning, minimizing risk and investment.

3

Why should I start with an MVP?

Starting with an MVP helps validate assumptions, gather real customer feedback, and iterate rapidly, saving time and resources.

4

How do I prioritize features and the overall scope of an MVP?

Prioritize features that solve the most critical problem for users and align with your core business goals. Focus on delivering value with the least effort to test assumptions quickly.

5

How does Jobs to Be Done (JTBD) fit into MVP development?

JTBD helps prioritize features by focusing on the user’s main goal—what job they need the product to accomplish. It ensures that the MVP solves a real problem, improving user adoption and feedback quality.

6

What is the role of user research in MVP development?

User research helps identify the needs, pain points, and behaviors of target users. It informs feature prioritization and ensures the MVP addresses real user problems, improving its chances of success.

7

What’s the difference between MVP development and Agile development?

MVP development focuses on quickly building the simplest product to test a hypothesis, while Agile development is a methodology for continuously building and improving products in iterative cycles.

8

What is an MVP market test?

A market test is a method of introducing an MVP to a small group of users to assess demand, gather feedback, and determine whether the product resonates with its target audience.

9

How does MVP development reduce risk?

MVP development reduces risk by validating product assumptions early, limiting financial and time investments, and allowing for adjustments based on real user feedback before scaling.

10

What are the examples of famous applications that started with an MVP?

Many successful apps began as MVPs. Dropbox started with just a demo video to gauge interest, while Airbnb began with the founders renting out air mattresses in their apartment to test the concept. Twitter launched as a simple status-sharing tool before evolving into a full-fledged social platform

11

How quickly can an MVP be developed?

The timeline varies but should be as short as possible to get the product in front of users and start learning.

12

What’s the next step after launching an MVP?

Use feedback from users to iterate and improve the product, pivot if needed, or scale based on validated learning.

13

How do I measure MVP success?

MVP success is measured by validated learning—did the MVP confirm or refute key assumptions about your users or the market? Additionally, speed to market is a key metric, as faster launch allows for quicker feedback and earlier adjustments, maximizing opportunities.