Solutions
Two products live in production, three more from our Prism AI line, and four we build on Claude for teams across India, the GCC, and Australia. Every one designed to reach production, not the demo shelf.
We label honestly, so you always know what's real.
Shipped and running for real users — Prism Events at the Unisys Innovation Program, and our retail virtual try-on. Not a prototype, not a promise.
Products from our own line — Codey, facial recognition, AR furniture — that we adapt and deploy for you rather than build from a blank page.
Patterns we've engineered before and will build on Claude for your stack: concierges, voice agents, agentic platforms, document intelligence.

Indoor navigation for live events
GPS dies the moment attendees walk indoors. Prism Events doesn't. Our Virtual Positioning System puts every visitor's live location on the floor plan and gives turn-by-turn directions to any booth, stage, or session, wrapped in a live agenda and day-tabbed galleries. Shipped and running at the Unisys Innovation Program in Bengaluru.
Under the wayfinder is a Virtual Positioning System — venue beacons, sensor fusion, and a calibrated map that locates a phone where GPS gives up. For the organiser it's one live console: push an agenda change, watch footfall move, seed the shared gallery. For the attendee it's the difference between 'somewhere on level two' and a green arrow that says the room is 11 metres ahead.
Virtual try-on — see it before you buy it
Let shoppers see the product on themselves before they commit. Our retail try-on blends pose detection and generative AI to render garments on any body in real time — no photo shoot required — lifting confidence and cutting the returns that quietly eat margin. One of the fastest, most cost-effective diffusion-and-segmentation try-on engines in e-commerce.
Returns are the quiet tax on online retail, and most of them come from a customer guessing at fit. Rendering the garment on the shopper's own body — in the browser, with no app install and no photo shoot — turns that guess into a decision. It's one of the fastest, most cost-effective diffusion-and-segmentation engines in e-commerce, and it drops into the product page you already have.
A terminal-first AI coding assistant
A terminal-first AI coding assistant that lives where developers already work. Codey reads the whole repo, writes and refactors across files, runs commands, and ships working changes with intelligent, autonomous support — turning intent into merged code without leaving the shell.
Identity, verified in a glance
Verify who's who in real time. Our facial-recognition module confirms identity through a live face scan wrapped in a seamless, form-based booking and check-in flow — fast, contactless, and accurate, so the right person gets through and no one else does.
Place it before you buy it
Let shoppers drop furniture into their own space before they buy. Our AR module renders products at true scale in the real room through any phone camera, so customers place, resize, and preview with confidence — lifting conversion and cutting the returns that come from guessing.
A concierge that never sleeps
A Claude-powered assistant that answers questions, qualifies leads, and guides customers across web, app, and chat, with the prompt-injection defence and content controls the open internet demands. It talks to your systems, not just your customers.
Conversations that scale, out loud
Claude on the phone, with human-like turn-taking. Voice agents field inbound calls, run outbound follow-ups, and hand the hard ones to a person, with every call transcribed, logged to your CRM, and measured. No hold music, no scripts read like a robot.
One set of rails for every team's agents
One governed platform where every team ships agents on Claude: orchestration, connectors to your CRM, ERP, and help desk, memory, and paved-road templates your own engineers own and extend. Built inside your cloud, behind your SSO, with an audit trail on every action.
The trap most teams fall into is ten pilots on ten different stacks, none of them governed. One platform ends that: shared orchestration, shared connectors, shared audit — so every team ships on the same paved road and security only has one thing to sign off. Your engineers own and extend it, inside your cloud, behind your SSO.
Turn documents into data
Point Claude at the contracts, invoices, and forms clogging your queue. It reads, classifies, and extracts at scale, routes the genuine exceptions to a human, and syncs clean data back to your systems, with an audit trail behind every decision.
The failure mode of document AI is confident nonsense on the one contract that mattered. We design for the opposite: Claude routes the genuine exceptions to a human, logs the reasoning behind every decision, and runs against accuracy evals so you can see where it's strong before you trust it wide. Clean data flows back to your systems; the audit trail stays behind it.
How an engagement runs
We start with the workflow eating your team's time, not a feature wishlist. One call, an honest assessment, and a scoped plan with numbers.
A working proof against your real data in weeks — evidence strong enough to fund it properly or kill it cheaply. No slideware.
Production build with the safety, evals, and fallbacks that survive real users on a bad day. Behind your SSO, inside your cloud.
We carry the pager under an SLA, or hand you the keys with runbooks. Either way, someone owns it after launch.
What every solution on this page has in common.
Built on Anthropic's Claude as a partner, on purpose — for the instruction-following, long-context reasoning, and honest 'I'm not sure' that production agents actually need.
Latency, fallbacks, safety, and evals handled, so it survives real users, not just a demo.
One accountable team of four partners from the first roadmap to the pager at 2am. The people who scope it are the people who ship it — no hand-offs, no finger-pointing.
Runs in your cloud, behind your SSO, with audit trails and prompt-injection defence built in.
A first scoped solution reaches production in weeks, then grows from proof, not slideware.
Delivered across Bengaluru, Dubai and the GCC, and Sydney. Remote-first, on-site when it counts.
Delivered for teams at