Derisk your AI investment with AI PoC & MVP development

Validate your AI use case with a working prototype in 4 weeks. Our AI PoC & MVP development services help you test feasibility and reduce risk before scaling.

Get in Touch
bottomline bvc caribbean-airlines cintas amily-dollar good-fund heartbeat invincible-gg kiewit lims mhamd nielsen one-digital pharmasift simplifed skywatch source2 swat-fame uro-gen valis-bioscience zipship bottomline bvc caribbean-airlines cintas amily-dollar good-fund heartbeat invincible-gg kiewit lims mhamd nielsen one-digital pharmasift simplifed skywatch source2 swat-fame uro-gen valis-bioscience zipship

Fast-track your AI PoC & MVP with our expert services

ai-copilot

AI Strategy Roadmap

Get a clear, actionable AI strategy with a solid vision and scope, a tailored design concept, an architecture roadmap, and a detailed project plan with budget estimates to ensure successful execution.

ai-computer

AI PoC Development

Build a technical Proof of Concept (PoC) that validates the core AI functionality. This raw, no-frills PoC is designed for technical testing and evaluation—there’s no user interface at this stage.

ai-mvp

MVP Development

Develop a fully functional, market-ready product with intuitive user interfaces, seamlessly integrated into your business systems. The MVP is polished and ready for a successful market launch.

How we approach AI PoC & MVP development

Our AI PoC & MVP development process is built to move fast without cutting corners. From idea validation to functional delivery, each phase is designed to reduce risk, align with your goals, and get a working solution into users’ hands in weeks, not months.

Get in Touch

Discovery and requirements gathering

We collaborate to understand your needs, define objectives, and set clear success criteria.

Ideation and use case definition

Identify and prioritize AI use cases based on technical feasibility, data availability, and business value.

Data collection and preparation

Prepare high-quality data through cleaning, processing, and feature engineering to ensure reliable model inputs.

AI model selection and experimentation

Choose and train the best-fit models, optimizing for performance and validating with key metrics.

Proof of concept (PoC) development

Build a small-scale prototype to validate technical feasibility and business impact of the AI solution.

Minimum viable product (MVP) development

Develop a scalable MVP with core features for real-world testing and further validation.

AI integration and deployment

Seamlessly integrate the MVP into existing systems if needed, ensuring compatibility and performance.

User testing and iteration

Gather user feedback and refine the solution through iterative improvements.

Scale and full product launch

Optimize and scale the solution for full-scale deployment and long-term success.

Let’s engage

le-left

Project-based Development

Streamline your projects with minimal risk, ensuring top-notch quality and timely, on-budget delivery.

Get in Touch
le-right

Dedicated Teams

Accelerate your projects with our expert team, combining technical prowess and management skills for seamless collaboration and success.

Get in Touch

Why an AI PoC & MVP approach pays off

An AI PoC & MVP approach is the smart way to ensure AI delivers tangible business value and helps you make informed decisions before scaling.

Assess product-market fit

Use real-time data and controlled experiments to evaluate if your AI solution meets target market needs and addresses core pain points before scaling.

Faster time-to-market

Shorten development cycles using modular prototypes that enable rapid testing and iteration, ensuring features are validated and optimized before moving to the MVP stage.

Evaluate technical viability for AI integration

Assess whether your AI solution is technically feasible within the existing architecture, considering model performance, data pipelines, and compliance requirements.

Strategic resource allocation for full-scale deployment

Define the exact infrastructure, compute power, and talent needed to support a scalable AI model, helping avoid over or under-provisioning during the production phase.

Scalability and infrastructure assessment

Evaluate if the current infrastructure can support the AI model’s scaling requirements, ensuring that compute power, storage, and processing capabilities are aligned with future growth.

Mitigate implementation risks

Identify potential technical issues like data inconsistencies, model drift, and integration hurdles early on, minimizing the chance of costly reworks during production deployment.

Success Stories

View all Work
pharmasift-thumb

An AI system designed from the ground up helps PharmaSift’s marketing team predict FDA concerns & suggests solutions for their ad campaigns to ensure compliance.

health-reel

Built ChatGPT-style health bot for HealthReel, providing personalized insights and recommendations based on wearable data and health assessments.

resolveit

Developed a Gen-AI platform that helps individuals resolve conflicts and improve communication through advanced natural language generation.

AI & PoC service profile by numbers

AI PoC and MVP development are key to validating and refining your AI ideas. Our team ensures you’re not just testing but setting yourself up for success.

Get in Touch
40+

MVPs built

75+

PoC delivered

25+

AI engineers

10+

Industries

Why work with Code District?

Candid conversations, clear vision

We believe in open communication. We'll work with you to understand your unique challenges and goals, fostering collaboration and a clear roadmap for your transformation journey.

Industry knowledge & foresight

Our team boasts in-depth experience across various industries. We leverage this knowledge to anticipate your needs, propose cutting-edge solutions, and tailor strategies that drive business impact.

Expertise rooted in practice

We're not just theorists. Our team has a proven track record of successful tech implementations. You'll benefit from practical solutions backed by real-world experience.

Diverse talent pool & scalability

Our cross-disciplinary experts enable us to build the perfect team for your project. As your needs evolve, we seamlessly scale our resources to match them.

Global security & quality standards

Keeping your data and operations secure is paramount. We adhere to the highest international security and quality standards, ensuring peace of mind throughout the modernization process.

FAQs: AI PoC & MVP Development

What is AI PoC & MVP development?

AI PoC & MVP development refers to the structured process of testing and validating an artificial intelligence solution before full-scale launch.

  • A Proof of Concept (PoC) focuses on technical feasibility, proving that a specific AI capability or idea can work in a real-world scenario. AI PoCs typically do not include a UI and are used to evaluate models, data compatibility, and business logic.

  • A Minimum Viable Product (MVP), on the other hand, is a functional, user-ready version of the product with essential features. It’s built for early market validation, feedback collection, and iterative scaling.

Why businesses use AI PoC & MVP development services?

AI PoC & MVP development services help reduce risk and control costs by validating AI use cases before investing in full-scale development.

With a PoC, you can test the core functionality of an AI model. With an MVP, you can test usability, market fit, and business value with minimal features. This approach ensures informed decision-making and faster go-to-market timelines.

How long does it take to build an AI PoC or MVP?

An AI PoC typically takes 2 to 4 weeks, depending on complexity, data availability, and integration needs.

An AI MVP generally takes 6 to 12 weeks, depending on the number of features, model maturity, and infrastructure requirements. We also offer 4-week accelerated programs for rapid AI PoC & MVP development.

What’s the cost of AI PoC and MVP development?

Costs can vary based on scope, technology stack, and industry requirements.

  • AI PoCs usually range from $10,000 to $30,000
  • AI MVPs can range from $30,000 to $100,000+, depending on UI/UX, backend systems, and cloud infrastructure

We offer flexible pricing models and clear estimates after the initial strategy and discovery phase.

How do you ensure scalability after MVP?

We design MVPs with scalability in mind by using modular architecture, containerized environments (e.g., Docker, Kubernetes), and cloud-native platforms like AWS, Azure, or GCP.

Once the MVP is validated, we help scale the solution through optimized AI model deployment, infrastructure upgrades, and integration with core systems.

Do you provide post-MVP support?

Yes. We offer comprehensive post-MVP support, including model tuning, feature enhancements, performance monitoring, and product roadmap planning.

Our goal is to help you move from MVP to full product launch with minimal handoff and maximum continuity.

Can I use my existing data for AI PoC development?

Yes. We assess the quality, quantity, and structure of your existing data to determine its readiness for training and testing AI models. If your data needs cleaning or augmentation, we can help with that too.

Do you offer AI consulting before PoC or MVP development?

Absolutely. Our AI consulting services help define the right use case, assess technical feasibility, and build a roadmap for your PoC or MVP. This ensures your project starts with strategic clarity.

What industries do you work with for AI PoC & MVP development?

We’ve built AI PoCs and MVPs across multiple industries including finance, healthcare, retail, manufacturing, logistics, and SaaS. Each solution is customized to the domain’s data, compliance, and business context.

Share your business goals with technical experts

Sales and general inquires

sales@codedistrict.com

“Code District successfully launched our application on time. The team worked hard, adjusted to our schedule, and ensured our requests were turned around very quickly. They asked the right questions, used sound judgment, and made consistent progress, demonstrating strong technical skills and a driven attitude.”

joel cumming
Joel Cumming CTO, Skywatch