AI engineering for growing companies

We build production-grade AI agents.

For the work your team still does by hand: production logs, freight paperwork, job cards, or whatever yours looks like. We build agents that read, decide, and act inside your systems. And because we run three AI products of our own, you can see what we ship before you hire us.

Running in production

Try the systems we already run.

Three AI systems we built, shipped, and run ourselves. Open them now.

Vectropic.ai
Document Intelligence Platform

Turns unstructured company documents into a queryable knowledge brain. RAG pipelines, vector search, and grounded answers with citations.

Live at vectropic.aiRAG + vector search in production
LeadLens
AI Lead Research Engine

Paste a company URL and get a full research dossier with personalized outreach drafted by AI. Built for founders doing their own sales.

Automated lead researchPersonalized outreach in seconds
SEOWriter
AI Content Engine

Enter a target keyword and get a full SEO article with structure, internal links, and metadata. The engine behind our own content pipeline.

Keyword to article, end to endPowers rottawhite.com articles
What we build

Systems, shipped.
Not slideware.

Four things, one standard: it runs in production, and you can prove it is right.

01 / 04

Agents that do the work

Not a chatbot. Agents that read the email, pull the data, update the system, and escalate what they are unsure about.

Claude / OpenAITool useHuman-in-the-loopn8n / Make
02 / 04

Answers from your documents

Contracts, reports and tribal knowledge, turned into something the team can ask — with citations, so answers can be checked.

RAGVector searchDocument extractionSlack / Teams
03 / 04

The software underneath

Most AI projects stall on plumbing. We build the platform underneath it too — tools, dashboards, and the integrations.

Next.jsPythonPostgreSQLAWS / GCP
04 / 04

Proof it actually works

Every build ships with a test set scored on your own data. Accuracy is a number you can check, not a claim we made at launch.

Eval harnessAudit trailMonitoring
How to start

Three ways to start.

Three ways to work with us, in the order they should happen. Nobody should commit to a build before seeing the thing work on their own data.

01 · 5 working days

AI Integration Sprint

$2,500

Fixed. Credited in full toward a build if you go ahead.

  • A working system on your documents
  • An accuracy number you can defend
  • The failure list
  • A build scope, or an honest no
Book the sprint
02 · 6–10 weeks

Production AI Agent Build

Scoped on a call

Scoped on a call, against what the workflow costs you today.

  • The agent, running in your stack
  • An eval harness
  • A full audit trail
  • Human-in-the-loop where it matters
Scope a build
03 · Monthly, attaches at handoff

AgentOps Retainer

Scoped on a call

Scoped at handover, based on volume and response times.

  • Eval regression runs
  • Drift monitoring
  • Model and prompt upgrades
  • New edge cases
Talk about AgentOps
“Rottawhite didn't just write code. They redesigned how our operations work. The AI workflow they built eliminated 60% of our manual processing overnight. It felt less like hiring a vendor and more like adding a co-founder.”
VG
Vikas Gupta
Director, Thinklusive Solutions
Read the Thinklusive case study

The short version

Rottawhite is an AI engineering studio in Bengaluru, India that builds production-grade AI agents and RAG systems for US and global SMEs, starting with a $2,500 one-week AI Integration Sprint. ELISRUN cut defects 60% and lifted production 40% with a Rottawhite-built system.

Ready to build?

Your next system could be live in weeks.

We take 1-2 new clients per quarter. Fill out the form and a senior architect will get back to you within 24 hours.

Or book a call instead