Rapid AI Prototyping & MVP Development

Build a working version of your AI use case before committing to a larger project. GenAI Protos is an engineering-focused AI agency providing AI prototyping services and AI MVP development services. We help you test feasibility, explore the user experience, and gather feedback.

Rapid AI Prototyping & MVP Development

How We Help

We combine practical AI consulting with hands-on development to define the right scope, test technical feasibility, and build a working first version before a larger investment.

Validate Your AI Use Case

Test your use case with representative data and clear success criteria before committing to development.

Build an AI Proof of Concept

Focused AI proof of concept development on whether a model, integration, or technical approach can meet your core requirements.

Create a Working AI Prototype

Bring your idea to life so users can try the workflow, review outputs, and share feedback.

Develop an AI MVP

Build a focused first product with the functionality, integrations, and access controls needed for early users.

Add AI to Your Application

Prototype an AI feature within your existing application, such as document extraction, search, or summarization.

Extend Your AI Engineering Capacity

Work directly with our engineers to move your first build forward without hiring a dedicated AI team.

Benefits of Working With Us

Validate Before Investing Big

Test your real-world use case through a focused build before committing to full development.

Shorten the Path to User Feedback

Give users something they can try early, helping you identify gaps before they become costly changes.

Access AI Engineering Expertise

Move from idea to working prototype without waiting to recruit and build a dedicated team.

Make Quality Measurable

Evaluate outputs against representative data and agreed success criteria, giving you evidence for the next decision.

What You Get

For either option, we define what success looks like before building and share progress as the work takes shape.

A Working Prototype

Our AI prototype development work tests the core workflow through a focused build. Depending on the question, this may be an AI proof of concept, a simple application, an API, or a prototype interface connected to a model.

Deliverables:

  • Working prototype and demonstration.
  • Test cases, evaluation criteria, and findings.
  • Known limitations and dependencies.
  • Recommendations for the next stage.

A Focused MVP

Build a usable first product around one core need. We scope the functionality, integrations, access controls, testing, and deployment required for the agreed early users.

Deliverables:

  • Focused application and core user workflow.
  • Scoped integrations and deployment setup.
  • Test results and known limitations.
  • Code, documentation, and handover as specified in the agreement.

Cost and Timelines

AI prototype cost and delivery time depend on scope, data readiness, model requirements, integrations, and deployment needs. A focused prototype may take days when the inputs and task are ready; an MVP needs additional work for its agreed users and operating environment.

We confirm the scope, price, milestones, and responsibility for model usage or infrastructure costs before starting. Changes are discussed before additional work proceeds.

Common Questions About AI Prototyping and MVP Development

Yes, we build a focused AI prototype using representative data and agreed success criteria. You can review its outputs, test the workflow, and understand the limitations before deciding on further development.

Yes, you work directly with our hands-on AI architects and engineers. Your team provides business context and feedback, while we handle the agreed engineering work without requiring you to recruit a specialist team first.

We define a focused first version with the essential features, integrations, and access controls your early users need. Short development cycles and regular reviews help you gather feedback and refine the solution within an agreed scope and timeline.

Yes, we scope an AI proof of concept around one use case or a specific feasibility question. We agree on the deliverables, budget, and success criteria upfront so the engagement stays focused on the decision you need to make.

Yes, our engineers collaborate with your team to prototype features such as AI search, document extraction, or summarization within your application. We test the workflow and integration requirements before recommending a broader implementation.

What would you like to build?

Share the use case, intended users, and what you want the first version to prove. We will help define a practical starting scope.

Please leave out confidential information at this stage. We'll use your details to respond to your enquiry.

Let's Explore Your Idea

Tell us what you want to build, test, or improve. You don't need a detailed brief to get started.