We build the agents running your business
RedshotLabs designs, ships, and operates agentic AI systems, and the full-stack product engineering around them.
From autonomous AI agents and RAG pipelines to web apps, mobile apps, and cloud infrastructure, we're the technical team behind ambitious products, end to end.
Full-stack expertise, agentic-AI-first
Nineteen disciplines, one team, so your AI, product, cloud, and growth stack ships from a single source of truth.
AI Agents & Automation
Custom AI agents and workflow automation that take real work off your team's plate.
Learn more →RAG (Retrieval-Augmented Generation)
Search and retrieval pipelines that ground your AI in your own data.
Learn more →Web Development
Fast, server-rendered web apps and marketing sites built on modern frameworks.
Learn more →App Development
Native and cross-platform mobile apps for iOS and Android.
Learn more →Code Migration Services
Legacy system, framework, and language migrations without downtime.
Learn more →React Native & Flutter to Native Migration
Rewrite React Native and Flutter apps as native Swift and Kotlin apps for speed and full platform access.
Learn more →UI/UX Design
Product design that turns complex workflows into simple interfaces.
Learn more →AWS
Cloud architecture, infrastructure-as-code, and DevOps on AWS.
Learn more →Building the agents, and the products they run inside
We're a full-stack studio built around one conviction: agentic AI is the biggest shift in how software gets built and operated since the cloud. We pair that expertise with everything a real product needs (engineering, design, cloud infrastructure, and growth) so you get one accountable team instead of five vendors.
- 50+
- Projects shipped
- 5+
- Years in production
- ∞
- Ideas entertained
One team, the whole stack
Agentic AI, production-grade
Not demos: agents with evals, guardrails, and monitoring built for unattended, real-world use.
One team, not five vendors
AI, product, cloud, and growth under one roof, so nothing gets lost between handoffs.
Ship fast, stay maintainable
Modern stacks, clean architecture, and documentation your future team will thank you for.
A small team, by design
You work directly with the developers building your product. No account-manager layers and no agency overhead, which keeps delivery fast and pricing affordable.

Dev Malhotra
Co-Founder
Co-founded RedshotLabs and sets its direction. Works with clients from the first scoping call through to delivery.
Ryan Mitchell
Managing Partner, United States
Shares responsibility for running RedshotLabs and is the point of contact for clients in the United States.
Zayed Al Nuaimi
Partnerships, Dubai
Looks after client relationships and new partnerships across the UAE and the Gulf.
Sid Singh
Team Lead
Leads the engineering team: plans the work, reviews the code, and keeps projects on schedule and on scope.
Shishir Goyal
Full Stack Engineer
Builds across the stack, from web and mobile front ends to the APIs, databases, and cloud infrastructure behind them.
Aditya Malik
AI & LLM Engineering
Former Senior Software Engineer at Alegance. Builds AI-powered web applications and production LLM integration pipelines.
Rachit Kumar
Content & Communications
Drives content and communications at RedshotLabs, from blog articles and case studies to how we present our work.
What partners say
“RedshotLabs shipped our AI support agent in six weeks and it now handles most of our first-line tickets on its own.”
“They rebuilt our stack end to end (backend, cloud, and app) and were the only team that actually hit every deadline.”
“Our RAG-powered product search cut support queries by a third within the first month of launch.”
“Technical advisory that actually understood the business, not just the code. Exactly what an early-stage team needs.”
Insights on agentic AI & product engineering
What US Policyholders Actually Trust AI to Do (And What They Don't)
Support for AI in insurance nearly doubled year over year, but consumer trust has clear limits. Here's where US policyholders welcome automation, and where insurers risk real backlash by pushing too far.
Why Insurers Are Ditching Monolithic Claims Platforms for Composable Architecture
The all-in-one claims platform promised to handle everything and often delivered a system too rigid to adapt. Here's why carriers and MGAs are moving to composable, API-connected claims automation instead.
AI Fraud Detection Isn't Just for Big Carriers Anymore
Enterprise-grade fraud detection used to require a dedicated data science team and a large carrier's budget. That's changed. Here's what mid-size insurers and MGAs can now deploy, and what it actually catches.
Have a project in mind?
Tell us what you're building and we'll reply with next steps within one business day.
Enquire about a project