Rottawhite is an AI engineering studio based in Bengaluru, India. We build agentic AI and retrieval systems that run in production for clients in the US, UK, and beyond — senior architects only, and every system ships with the evidence that it works. The results are in our case studies.
Every Rottawhite engagement is led by senior engineers with production deployment experience. No account manager handoffs. No junior developer learning curves.
We take on 4-6 clients at a time to ensure each receives founding-team attention. We turn down projects outside our expertise.
Direct access to senior architects on every project.
The architect you meet is the one building your system.
We turn down projects outside our expertise to maintain quality.
We build agents that take real actions in your systems, retrieval systems that answer from your own documents with citations, and the software underneath both. The work is judged on whether it runs in production, not whether it demos well.
Our approach is simple: understand the problem deeply, design a practical solution, build it with modern technology, and support it for the long term.
Agents that take real actions in your systems, with permissions and an audit trail
Answers grounded in your own documents, cited back to the source
Intake, checking, reconciliation, and exception handling
The infrastructure retrieval and forecasting depend on
We start by understanding your business, challenges, and goals through in-depth conversations.
We architect a solution that fits your needs, timeline, and budget - no over-engineering.
Iterative development with regular check-ins. You see progress every step of the way.
Deployment, training, and ongoing support. We are here for the long term.
We're a focused team of engineers and consultants with backgrounds in manufacturing, aviation, and enterprise software. We bring real industry experience to every project.
Our team members have worked on production systems, logistics optimization, and enterprise platforms - not just theoretical knowledge, but hands-on experience solving problems like yours.
Whether you have a specific project or want to scope an AI system for your operations, we're happy to talk.
An honest comparison, including the rows we lose. A strong freelancer is cheaper than us, and a company with a decade-long AI roadmap should eventually hire in-house.
| Criterion | A freelancer | Hiring in-house | A studio like Rottawhite |
|---|---|---|---|
| Cost to start | Lowest, if you find a good one | Salary before any output | $2,500 fixed sprint, then scoped |
| Proof of accuracy | Depends entirely on the person | Only if you enforce it | Eval harness on every build |
| Bus factor | One person is the system | One resignation from zero | A team, plus handover docs you own |
| After handoff | Usually gone | Always there | AgentOps retainer, or a clean exit |
| Decade-long AI roadmap | No | The right answer | We will tell you to hire |
Questions worth asking any vendor, including us. Each one has a checkable answer.
A demo on curated examples proves nothing about your scanned invoices and edge cases. Ask any vendor to run against a sample of your real documents before you commit; that is exactly what our $2,500 sprint is for.
If a vendor cannot explain how accuracy is measured, on what test set, and what number blocks a release, the number they quote is marketing. Ask to see the eval method in writing; ours is published on the eval harness page.
An unpublished price usually means the price is whatever they think you can pay. We publish ours: $2,500 for the sprint, and the build scoped against what the workflow costs you today.
Advising on production AI without operating any is theory. We run three of our own AI products (Vectropic.ai, LeadLens, SEOWriter), so the operational lessons in our builds were learned on our own systems first.
30-minute call with a senior architect. No sales pitch - just technical perspective on your specific needs.
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