Add AI to your product
Chat, document Q&A and AI features on your AI platform, with a test sheet that proves it.
Rachuri Labs is an AI-first software studio. We add AI to your product, automate manual work and connect your tools, with a clear written scope and a written test for “done”.
One AI core. Many products.
Chat and document Q&A that cite their sources, refuse what’s out of scope, and report their cost. Built on the AI platform you already use or prefer.
Your tools share data on their own, with retries and an alert when something needs a person, and AI agents and automations take repetitive work off your team, such as sorting inbound email and leads, with a person in the loop where it matters.
Something else, like a new app or service? Ask us. Get in touch
Each is a project under a written statement of work (SOW), with a pass/fail acceptance checklist. We quote after a free 30-minute call.
Chat, document Q&A and AI features on your AI platform, with a test sheet that proves it.
Integrations, APIs and data sync between your tools, with retries, alerts and a runbook.
An AI agent or automation that removes a manual job, with approvals, a pause switch and a log.
After launch: monitoring, fixes, patches and small change requests, on a monthly plan.
Requirements, architecture, estimate and a milestone plan, ending in a written SOW.
From your requirements to go-live, priced per milestone under a written SOW, with a 30-day fix window for defects against the acceptance checklist, set out in your SOW.
A remote engineer for your team: Java and Spring Boot services, APIs and AI integration, working in your tools under your process.
Two demo projects are on the way, each with code, a 2-minute walkthrough and a one-page case study. These are our own builds, not client work.
Answers from a document set, cites its sources, and the AI provider switches by configuration.
An inbound email or lead is triaged by AI, then lands in a CRM and Slack.
You describe the problem; we ask questions.
A written scope and acceptance checklist.
A written statement of work; changes are agreed in writing.
Weekly demos of working software.
Pull requests to your repo and a proof sheet; you accept; we invoice.
A 30-day fix window for defects against the acceptance checklist, then an optional care plan.
You hand over a defined chunk of work: a spec, API docs, sample or masked data. We build it in our own environment with our AI-assisted desks and deliver tested code to your repository as pull requests, with a proof sheet. Fastest and most economical.
We work inside your environment and tools, under your AI policy, for when code or data can’t leave your systems.
Not sure which fits? Tell us what can and can’t leave your systems on the call.
We use AI tools to draft code, tests and documentation faster. A responsible engineer is named on every project and reviews what ships. The team is our lead engineer, AI agents, and vetted contractors as needed, added only with your written consent and under NDA.
We deliver to your repository; client data is not put into AI tools that train on it. See our security and AI-use summary.
We work in your stack: Java/Spring, Python, Node/TypeScript, React, on AWS, Azure or GCP. We are model-agnostic: for AI features in your product, we build on what you already have or prefer:
We keep the provider behind configuration so switching later is easy. If you restrict AI tools for development, we use your approved tools (for example, your enterprise code assistant) or work without AI on your code.
Rachuri Labs is a small, AI-first software studio in Texas. We build Java and Spring Boot services, APIs and integrations, and we add AI features and automation to the products and tools businesses already use.
Our engineering comes from enterprise telecom: production microservices, order flows and partner integrations at a major US wireless carrier. We pair that experience with AI tools to work faster, and an experienced engineer reviews every deliverable before it ships.
We’re new, and we say so: Rachuri Labs LLC was formed in Texas in November 2026, and we’re taking on our first client projects now. That’s why every project has a written scope, is tested against a written checklist and shown to you weekly, so you can judge the work before you pay for more.
No. We build on yours: OpenAI / Azure OpenAI, Gemini / Vertex, Bedrock, Claude, or open-source and self-hosted models, and in your stack.
You do. Ownership of the code we write for you passes to you when the project is paid in full; our own pre-existing tools and libraries stay ours, with a licence for you to use them in your project. The exact terms are in our MSA, which you see before you sign.
Yes. We’re happy to sign a reasonable mutual NDA, or yours, before you share anything confidential.
Every project includes a 30-day fix window for defects against the agreed acceptance checklist (details in your SOW); the care plan covers what comes after.
Yes. Rachuri Labs LLC was formed in November 2026, so we don’t have client case studies yet; the demo projects above are our own builds. To keep your risk low, we suggest starting small: paid discovery or one small package, with weekly demos.
We’re a Texas LLC and work remotely. Today we work on US Central Time; working hours for your project, and any later change in where we work, are set out in writing.
Bring one problem. In 30 minutes we’ll tell you whether we can help and what it would take.
hello@rachurilabs.com