AI PoC & MVP Development

AI proofs of concept and product MVPs when the model path is still uncertain

A hands-on PoC to prove the AI task is solvable, then an optional product MVP around it. Choose this when the model or data path is the risk, not when you already have a scoped use case (that is the AI Pilot) or a non-AI product idea (MVP Development).

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You're here because…

Does this sound like your team?

“Investors or customers want to see AI working, not a mock-up”

“You are not sure whether to build a PoC or go straight to MVP”

“Past demos never made it past the meeting”

Proof from this service
What's included

What you get with AI PoC & MVP Development

  • PoC scope and success criteria
  • Working PoC on real or representative data
  • PoC vs MVP recommendation
  • MVP build: auth, UI, data, billing if needed
  • Evaluation results and cost per run
  • Production architecture plan
Free resource · 1-page PDF

PoC vs MVP vs Pilot Decision Tree

One page that answers what you should build first when the AI path is still uncertain.

How we deliver

Phases, timelines and what you receive

1-2 weeks

Discover

Use-case scope, KPI baseline, data access plan

4-6 weeks

Pilot

Working pilot on real data with evaluation results

6-12 weeks

Production

Hardened, integrated, monitored system

Monthly

Improve

KPI and cost reports, new use cases shipped

Decision gates

What we measure before Go / Adjust / Stop

Every phase ends with a decision based on numbers agreed at the start.

Quality

accuracy against a labelled test set agreed up front

Speed

response time your users will accept

Cost per run

model and infrastructure cost per task

Edge cases

what happens with bad input, silence or unknown requests

Talk to an engineer

Get a plan for AI PoC & MVP Development

A few fields, no sales script. We reply within 1 business day with next steps.

Quick enquiry

RegardingAI PoC & MVP Development

What do you need? Select one or more

We reply within 1 business day.

Who's on the team

Senior people, named roles

Lead AI Engineer

Owns architecture, model choice and evaluation.

Full-stack Engineer

Builds integrations, UI and data pipelines.

Product Designer (on demand)

For user-facing assistants and dashboards.

Models & tech stack

What we build with

Models
ClaudeOpenAIGeminiLLaMAMistral
Stack
Next.jsReactDjangoFastAPIRuby on RailsFlutterAWSAzureKubernetes
Industries

Industries we deliver this for

What we avoid

Who this is not for, and what we won't do

  • We don't build MVPs before the PoC proves the core AI works
  • We don't hide model costs until after launch
Testimonials

What clients say

“Working with the Bit & Bytes team on our CRM data automation project was an excellent experience. The team understood our requirements clearly, transformed complex email data into meaningful insights, and delivered a reliable backend solution that significantly improved our workflow.”
D
Dan
Benchmark
“Bit&Bytes Team quickly understood our goals on SEO assistant project and implemented complex machine learning features with precision. there communication were clear, delivery was timely, and the overall collaboration was smooth and efficient. We're very satisfied with the results and would definitely work with them again.”
S
Shaked
Breevy.ai
“We collaborated with Bit&Bytes team on the development of YourList, our real estate and investment networking platform. From the very beginning, they demonstrated a deep understanding of both the technical stack and the business vision behind the product. They helped us shape the MVP, ensuring smooth integration between backend and frontend. Throughout the process, they were proactive, detail-oriented, and always committed to delivering on time. Working with them seamless and highly productive, they truly went above and beyond to make the project a success.”
JC
Jay Crouch
YourList
“Working with Bit&Bytes Team on RingX was seamless. They delivered a secure, user-friendly solution with great attention to detail and professionalism throughout the project.”
D
Daniel
RingX
FAQ

Frequently asked questions

Straight answers on cost, timelines, ownership and data.

A PoC proves the AI can do the task (4-6 weeks). An MVP wraps it in a product real users can use (6-10 weeks after). If the AI part is uncertain, start with the PoC.

It depends on features and integrations. Every PoC or MVP gets a written quote after a short scoping call.

Yes. See Application Modernization.

Next step

Ready to talk about AI PoC & MVP Development?

Book a short call with a senior engineer. No pitch deck, just a clear next step.

  • We reply within 1 business day.
  • NDA available on request
  • You own all code from day one

Scope a pilot

What do you need? Select one or more

We reply within 1 business day.