AI that ships and works — built by people who've done it
We build AI systems that run real businesses: agents that do the work, private AI that never touches the cloud, and AI features inside live products. Everything below is shipped and provable. PoCs from $5k–$25k, weeks not months.
Scope your AI project → See pricingWhat we build
Every kind of AI system a business actually needs
Plain list. No buzzwords. We've shipped each of these — ask and we'll show you.
Proof
Three systems you can ask us about on the call
Not logos. Not claims. Real systems, running today, that we'll walk you through.
Finance OS — a department run by agents
Reads invoices, reconciles accounts, drafts reports for Krish Ventures. Humans approve the money moves.
Aru Pharma — AI with no internet
A pharma team queries internal documents in plain language. The whole stack runs on their machines.
NriHearts — GPT-4o in production
A live matrimony platform serving 50+ countries, with AI document generation behind paid subscriptions.
The engagement, concretely
What you get for $5k–$25k
A working AI system on your data, in production — not a slide deck and a follow-up proposal.
- A working AI system solving one agreed problem
- Built on your real data, your real documents, your real workflow
- Accuracy measured and reported — you see the numbers
- Runs where you need it: your cloud, our cloud, or fully offline
- Security and access controls designed in from day one
- Documentation and a working session with your team
- A written plan for what to build next, with honest costs
Know the number before the call
AI PoCs run $5k–$15k. Production systems $15k–$25k. Bigger builds get a fixed quote after scoping. We published our agent pricing in full — same transparency applies to every AI project.
How we work
Built like engineers, not like a pitch deck
The process is boring on purpose. Boring is what makes AI reliable in production.
Data first
We look at your actual data before quoting. If AI won't work on it, we say so — before you spend.
Fixed scope
Price, timeline, and definition of done agreed in writing before we start.
Measure everything
Accuracy tested against your real cases, reported plainly. No demos that only work once.
Ship to production
Deployed where you need it, with monitoring, logging, and access control.
Expand on evidence
When the numbers prove out, we build the next piece. That's how small pilots became whole systems.
Tell us what you want AI to do
Thirty minutes. Describe the problem. We'll tell you honestly if AI solves it, what it costs, and how fast it ships. If AI is the wrong answer, we'll say that too.
Scope your AI project