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.
- Founders with an AI product thesis and no technical co-founder
- Existing companies adding AI capabilities to existing products
- Teams that need a production AI product shipped fast
- Businesses that have data but can't turn it into a product
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.
- 01
Scope and validate
We take your idea, validate it against the market, and define the MVP in one to two weeks. No wasted cycles.
- 02
Design the product
Product design, AI architecture, and technical approach. You approve the design before we build.
- 03
Build in sprints
Two-week sprints with working demos. You see progress every two weeks, not just at the end.
- 04
Launch to production
Deploy, monitor, and hand over. Full source code, documentation, and infrastructure.
- 05
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.
Final pricing depends on scope, AI complexity, integrations, and platform requirements.
- 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
Why Sitio Labs
Builders, not vendors.
- 6 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.
Fair warning
Who this isn't for.
- You want a prototype or demo only — we build to production standard, not a throwaway proof of concept.
- Your requirements change weekly with no process to lock scope — we fix scope before we start, and need that to hold.
- You're comparing us against a sub-$1,000 freelancer-platform build — different standard, different price, not a like-for-like fit.
- You need an exclusive, in-office team from day one — we work as a studio, remote-first, across several engagements at once.
Questions/ 07
Honest answers.
Write to us with what you are working on. You will hear back within 24 hours.
Start a conversationYes. We take your idea, validate it, design it, and build it to production. Our AI Sprint (3–4 weeks, from $6,000) is the fastest path to a working product.
Yes. Full source code, documentation, and infrastructure are yours. No licensing, no vendor lock-in.
We do this regularly. We'll assess your existing architecture, identify where AI creates leverage, and build the AI layer without rebuilding your product.
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.
Most clients stay engaged for iteration. We offer monthly retainer or CTO Partnership models for ongoing development and AI model improvements.
An AI Sprint ships one production-ready capability or feature in 3–4 weeks, fixed scope, from $6,000. A full build is an MVP or platform, multiple features, a real user base, 8–16 weeks, from $7,500. Most clients start with a Sprint to prove the thesis, then scope the full build.
Yes, happily, before any detailed discussion. Early conversations to understand the general shape of the problem don't need one.
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