Agents that wake, reason, and get to work — wired into your stack, running your workflows end to end while your team does the thinking only humans can.
Our agents plan multi-step work, choose the right tools, verify their own output, and recover from failure — no brittle if-else chains, no babysitting.
APIs, webhooks, MCP, databases, CRMs, ERPs — every circuit connects to the systems your business lives in. No rip-and-replace, no migration pain.
AI agents, automation platforms, and intelligent applications we designed, engineered, and put into production for real teams. Keep scrolling — each one rises as the last settles back.
An AI-powered web app builder that turns a plain-English description into a complete, runnable app in a single pass — a SQL schema, backend, and frontend that actually agree. It ships with a live sandboxed preview, a multi-file project tree, and a real in-browser SQLite database, so the app runs and persists instantly — nothing to install, no server to deploy.
View detailsAutonomous agents, smart applications, and full-stack engineering — every practice shipping toward the same goal: software that carries its own weight.
We design and deploy multi-step AI agents that reason, plan, and execute complex workflows without human intervention. From lead qualification bots to autonomous research agents, our systems integrate with your existing tools via APIs, webhooks, and MCP protocols — turning manual processes into intelligent pipelines that scale.
We build AI-powered applications from the ground up — chatbots, recommendation engines, computer vision systems, predictive analytics. Our applications understand context, surface insights, and continuously improve through use, integrating leading LLMs and open-source models into production-ready software.
We engineer robust web and mobile applications built for scale — designed to grow with your business and ready to absorb AI capabilities from day one. Full-stack teams across React, Node.js, Python, Java, and Flutter, shipping products architected for the AI-first era.
From cloud migration to dedicated development teams, we cover the full spectrum of IT services enterprises need to scale — modernizing technology stacks, adopting AI capabilities, and optimizing operations across AWS, Azure, Google Cloud, and enterprise platforms.
In a world flooded with software, the companies that win are those that make their systems think, decide, and act — we build exactly that.
Deep domain expertise built across 9 industries, 200+ clients, and 10+ years of delivery — from hospital floors to trading desks.
Start a projectFrom a software firm to an AI-first company — the road from Chennai in 2016 to autonomous systems shipping worldwide.
Repositioned as an AI-first company, doubling down on autonomous agent development and AI-powered application engineering as the core of everything we build.
Expanded into complex product development, shipping SaaS platforms, mobile applications, and IoT-integrated systems for clients across India, Europe, and North America.
Founded Ray-i Systems with a mission to deliver world-class software from Chennai to a global market — building the talent, processes, and reputation that have defined us since.
Ray-i Systems was founded in Chennai in 2016 with a simple conviction: that great software, built by great engineers, changes everything. Over a decade, we grew that conviction into a team of 30+ specialists, 200+ client partnerships, and a global footprint spanning India and Europe.
We've always built things that matter — IoT platforms, mobile apps, enterprise systems, e-commerce engines. But the arrival of large language models and autonomous AI agents changed what "building" means. Today, we don't just write code; we architect systems that think, learn, and improve on their own.
We don't do hype. We do working software. When you partner with Ray-i, you get engineers who care about outcomes, architects who think about scale from day one, and an AI team that has actually shipped production agents — not just prototypes.
Chennai to the world. AI-first. Always.
Battle-tested technologies at every layer — from agents to infrastructure. Chosen for reliability, not fashion.
The eight questions that come up in almost every first call — answered here so the call can start somewhere more useful.
A discovery sprint takes a week and a pilot agent two to four weeks after that. Most engagements have a working system running against real data inside six weeks of the first call, and in production within a quarter.
You do. Everything we build under a client engagement — source, prompts, agent definitions, and infrastructure-as-code — is assigned to you on delivery. There is no proprietary runtime you have to keep renting from us.
Yes. We deploy into your cloud tenancy, run it as a managed service, or install fully on-premise on open-weight models with no external calls. Several production systems we run today never send a single document outside the client network.
Agents operate inside explicit permission boundaries and verify their own output before acting. High-stakes steps escalate to a human by design, every tool call is logged and replayable, and accuracy is monitored after launch so drift is caught before it costs anything.
Pilots are fixed-price, scoped in the discovery week. Longer builds run as a dedicated pod on a monthly rate, which stays predictable while keeping scope flexible. We put the model in writing before anyone writes code.
Model inference, hosting, and monitoring are estimated during the pilot against your real volumes — so you see the run cost before you commit to the build. Where the economics favour it, we move workloads onto self-hosted open models to cut per-call cost sharply.
That is a large part of what we do. We embed vetted engineers inside your existing process and tooling, or take a defined workstream end to end while your team keeps the core product. Our teams carry eight or more hours of daily overlap with European and US working days.
No. Client data is never used to train our models or anyone else’s, and that is contractual rather than a matter of policy. Data handling is run to GDPR and India DPDP practices, with DPAs and NDAs as standard.
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