An AI-first SaaS workflow
Give users a clear way to provide input, review a generated result and put it to work. Scope accounts, permissions and billing only when the pilot needs them.
AI MVP development · For founders
AI MVP Development for Startups. Your AI product.Built for real users.
Turn a promising idea into a focused product people can use. Design, AI and engineering from one team, with a clear first-release scope.
Talk directly to the builders. No long form.
- One clear first-release scope
- A working end-to-end experience
- AI quality tested before you expand
SELECTED CLIENT WORK
From the team behind
real shipped products.
ProofitProperty servicesShapotoolsBusiness workflowsOproProject operations
Mumbai-based.
Working with teams worldwide.
01 / The business case
Less roadmap. More real-world learning.
A prototype can look great while hiding slow responses, unreliable outputs and unclear user value. An MVP needs enough product thinking and engineering to test the business idea honestly—without building a whole company’s roadmap at once.
THE FRICTION TODAY
More effort than it should take.
- A pitch deck full of features
- A demo that only works on perfect inputs
- A roadmap without real user feedback
WHAT WE BUILD TOWARDS
A clear path to the next step.
- One useful journey for a defined audience
- A pilot tested against realistic examples
- A next-build decision informed by users
02 / What the solution could look like
A specific user. A problem worth testing.
Best when you can name the first users, the problem and the question your MVP needs to answer.
AGREE SUCCESS BEFORE BUILDINGTask completion, AI quality and user feedback
If the idea still needs customer discovery, we should narrow the problem before promising a full product build.
Find your starting point
Your next business workflowEXAMPLEYOUR FIRST RELEASE
The core user problem
One useful outcome
One clear journey, designed around the user.
Scope the core experience
Test the important edge cases
Illustrative product workspace
THE NEXT STEPFirst-release scope
Illustrative experience, not a live product. Explore the examples above.
SELECTED WORK / Proofit03 / Product delivery experience
A focused journey from question to action.
Proofit brings product structure, service discovery and a guided enquiry experience together. See how a clearly defined user journey shapes the interface and the next action—exactly the kind of focus a first release needs.
Read the Proofit case study04 / A focused implementation
A product you can put in front of people.
A knowledge product
Help a defined audience find answers in authorised information, with source references and a useful response when the evidence is insufficient.
An assistant inside your product
Add one bounded AI capability to an existing experience. Define what the assistant can do, what it cannot do and how users correct it.
YOUR FIRST STEP, NOT A BIG COMMITMENT
Start with one
useful change.
Not sure where to begin? Choose your focus and get a short starting checklist. No email required.
Already have a task in mind? Tell us what happens today and what you want to improve.
Talk it through with usYOUR NEXT MOVE, MADE CLEAR↘
AI MVP starter plan
A useful starting point. No guesswork.
A first-release checklist with a scope boundary and evaluation checkpoint. Choose your focus for a useful starting checklist, or speak directly to the builders:
- Choose one assumption the first release needs to test.
- Describe the user, the job they need done and how they handle it today.
- Use realistic inputs to evaluate output quality, latency and recurring model costs.
01 / Choose your focus → 02 / Get your starting plan
05 / From starting plan to scoped project
Find the smallest version that can answer your biggest question.
You bring the business problem. We’ll talk through:
- Your core user journey
- The riskiest assumptions to test
- A build scope with clear non-goals
A conversation, not a commitment.
Prefer to call? +91 88503 13109 We’ll discuss fit and scope before quoting a build. No detailed specification needed.
KNOW WHAT YOU’RE SAYING YES TOSmall scope first.
Small scope first.
Clear costs before you commit.
The core journey, data readiness, integrations and security requirements determine cost and timeline. A prototype, a pilot and a production rollout are different scopes; we make that distinction in the proposal.
- Bring to the conversation
- A target user, one core use case and any non-confidential prototype or feedback.
- Before a paid build
- Agree deliverables, dependencies, acceptance checks, timing and an estimate. Recurring tool and model costs are considered separately.
The instant checklist is free. Custom implementation is quoted after scope review.
06 / If we decide to work together
Start focused.
Expand on evidence.
- 01
Cut to the core
Identify one user journey, agree acceptance criteria and put the rest in a later list.
- 02
Build and evaluate
Deliver the experience in reviewable stages and test AI output against realistic examples.
- 03
Release to learn
Put the pilot in front of users, collect feedback and make an informed next-build decision.
What’s included, what affects cost, and when we’re a good fit
Proposed build scope
- A written first-release scope and explicit non-goals
- A designed core journey and responsive interface
- AI integration, data handling and evaluation examples
- The application infrastructure agreed for your pilot
- Deployment, handover and a prioritised next-step backlog
Cost & timing
The core journey, data readiness, integrations and security requirements determine cost and timeline. A prototype, a pilot and a production rollout are different scopes; we make that distinction in the proposal.
Is it a fit?
Best when you can name the first users, the problem and the question your MVP needs to answer.
If the idea still needs customer discovery, we should narrow the problem before promising a full product build.
Can you help if I only have an idea?
Yes, but an idea alone is not a development specification. Start by telling us the user, their current workaround and the result you want to improve. We can then discuss discovery and a realistic first-build scope.
How long does an AI MVP take?
It depends on the user journey, data, integrations and required quality. We estimate after defining the core scope and dependencies. We do not promise an arbitrary launch date before understanding those constraints.
Will I own the code?
Ownership, repository access, third-party licences and handover are agreed in the project contract. Bring any requirements you have before we scope the build so there are no surprises.
What happens if AI is not reliable enough for the task?
We test the riskiest behaviour early. Depending on the results, we can narrow the task, use rules, add human review or recommend not taking that approach further. A useful pilot should expose limitations, not hide them.
Can you improve an existing prototype?
Yes. Share a non-sensitive description of the current product, what works and where it breaks. We can discuss a technical review and whether to improve the existing foundation or replace specific parts.
Your AI product.Built for real users.
Discuss my AI productOne conversation. A clearer next step.