AI Product Development
Ship the AI product your market is waiting for.
We build AI products from zero to production: MVPs, SaaS platforms, mobile apps, and enterprise tools. Not prototypes. Not demos. Production-ready systems your users will pay for. The same team that built 5 products of our own.
The problem
What this solves.
- You have an AI product idea but no technical team to build it.
- Your internal team is strong but lacks AI-native expertise.
- Previous vendors delivered demos, not production products.
- You need to move fast — the market won't wait for a 6-month build.
- You need someone who's shipped AI products before, not learning on your dime.
Who it's for
What we build
Concrete systems, not slideware.
AI MVPs and prototypes for investor demos and market validation
AI SaaS platforms from zero to production
Mobile apps with AI copilots and intelligence built in
Internal tools with AI-powered decision support
APIs and developer platforms for AI services
AI-powered analytics and business intelligence
Multi-tenant AI platforms with role-based access
AI product architecture for scale
Integrations
Systems we connect to.
We integrate with your existing stack. No rip-and-replace.
- OpenAI, Anthropic, Google Gemini, open-source LLMs
- Vector databases (Pinecone, Weaviate, ChromaDB)
- Cloud infrastructure (AWS, GCP, Azure, Cloudflare)
- Payment systems (Stripe, Razorpay)
- Authentication (Auth0, Clerk, Supabase)
- Mobile frameworks (React Native, Flutter)
- Analytics (PostHog, Mixpanel, Amplitude)
- CI/CD and monitoring (GitHub Actions, Vercel, Railway)
The process
How the build actually happens.
Scope and validate
We take your idea, validate it against the market, and define the MVP in one to two weeks. No wasted cycles.
Design the product
Product design, AI architecture, and technical approach. You approve the design before we build.
Build in sprints
Two-week sprints with working demos. You see progress every two weeks, not just at the end.
Launch to production
Deploy, monitor, and hand over. Full source code, documentation, and infrastructure.
Iterate and grow
Post-launch iteration based on user data. We stay engaged as your technical partner.
Pricing
Transparent, starting at a clear number.
You won't need to guess our pricing. Every engagement starts at a published number, scoped to your problem.
- A production-ready AI product, not a prototype
- Full source code and infrastructure ownership
- AI-native architecture that scales with your users
- Time to market in weeks, not months
- A technical partner who stays in the room post-launch
₹6,00,000 starting
₹6L–₹15L typical (MVP to production)
Timeline: 3–4 weeks (sprint) to 8–16 weeks (full product)
Final pricing depends on scope, AI complexity, integrations, and platform requirements.
Get a quote ↗Why Sitio Labs
Builders, not vendors.
5 AI products of our own in market — we know what production looks like
AI is the primary building material, not a bolt-on feature
Same team from design to deployment — no handoffs, no telephone
Fixed scope, honest timelines, and full source code ownership
Built in India. Built for the world. The same studio that ships products for us ships products for you.
Questions
Honest answers.
Can you build our AI product idea from scratch?
Yes. We take your idea, validate it, design it, and build it to production. Our AI Sprint (3–4 weeks, from $7,500) is the fastest path to a working product.
Do we own the code?
Yes. Full source code, documentation, and infrastructure are yours. No licensing, no vendor lock-in.
What if we already have a product and want to add AI?
We do this regularly. We'll assess your existing architecture, identify where AI creates leverage, and build the AI layer without rebuilding your product.
How do you handle AI model selection?
We select the model based on your requirements: accuracy, speed, cost, data privacy, and scale. We're model-agnostic — OpenAI, Anthropic, Gemini, or open-source depending on what fits.
What about post-launch support?
Most clients stay engaged for iteration. We offer monthly retainer or CTO Partnership models for ongoing development and AI model improvements.
Let's talk about your problem.
You don't need to know what tech you need. You just need to know the problem. We'll map it, scope it, and tell you honestly whether we're the right builders for it.