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Launch · 1 min read
Read the articleServices — AI
Most AI pitches are theatre. We ship AI that changes a workflow and can prove it, because we run our own AI product in production. Agents and automation that remove real manual hours, AI inside your e-commerce and product, AI audits, and the AEO and GEO work that gets you recommended when buyers ask an assistant.
Client platforms and products of our own, live in production. Every rule on this page was paid for once already by us, on the builds below.
We build AI agents that understand messy real-world inputs — photos, documents, codes — then put the same intelligence on the marketing site so visitors can try it. The product sells itself when buyers watch it work.
how we position this work →Turns a business brief into a working website flow automatically, with the marketing site, AI engineering, integrations and account portal delivered as one piece — and operated daily, which is where the discipline on this page comes from.
read related work →One of our own product lanes — AI applied to the unglamorous middle of a sales workflow, where an hour saved every day actually compounds across the team.
Tooling we build for agency workflows, born from running our own studio on the same ideas we sell to clients every single week.
The thinking behind it — AI built in, not on — lives across our AI automation and search services.
Four lanes, one rule: AI gets scoped where it changes a workflow, not where it decorates one. If a feature does not remove cost or lift conversion, it does not ship.
Agents and workflows that do real jobs: triage and routing, document handling, quoting, research and support. Built with the failure states, evaluation and human-in-the-loop controls that keep them trustworthy in production.
Assistants, semantic search, recommendation and generation built into your website, store or app — where they lift conversion or remove cost, not where they decorate a homepage.
An honest look at where AI would actually pay back in your business, and where it would not. You leave with a prioritised, costed list, not a hype deck.
The work that gets you cited when buyers ask ChatGPT, Claude, Perplexity and Google's AI for a shortlist: answer-first content, entity and schema structure, llms.txt, and citation tracking.
Most AI agencies sell the third of these and stop. Because we're a design and software studio, we put AI where it wins customers and where your customers can feel it — and the audit ranks all three for your business before anything gets built.
AI search visibility engineered in, so you show up when buyers ask an assistant instead of Google, and a site that iterates at AI speed. This is where AI wins you customers before a competitor has updated their deck.
Classifiers, agents and AI features your end customers actually touch. When the classifier lives on the website itself — visitors drop in a photo and see what the AI sees — the product speaks for itself.
Automations for the work your team repeats — quoting, routing, document handling, reporting — connected to the systems you already run rather than another dashboard nobody opens. Humans stay in charge; the boring parts stop being manual.
No six-month strategy phase. The audit finds where AI pays, a prototype proves it against your real data in weeks, and only what survives that test gets engineered for production. Builds from ₹18L, scoped after discovery and itemised before you commit; talk to us about the audit-to-shipped path in detail.
Where AI genuinely pays in your business, and where it doesn't: a ranked list of candidates with effort, risk and expected return on each, written by the engineers who would build them.
The top candidate built as a working prototype against your real data, not a demo against sample data. You judge results, not promises — and if the numbers don't hold, we say so and stop there.
What works gets engineered properly: guardrails, monitoring and evaluation designed in, deployed as plain code in a repository in your name, connected to the systems you already run.
Production data feeds the next decision: tighten what drifts, extend what pays, retire what doesn't. The same evaluation that gated launch keeps running afterwards.
The demo is the easy part. These are the operating rules every AI build here ships with, because we run our own AI product and live with the consequences of skipping any of them daily.
Every agent and automation has boundaries, a log of what it did and why, and evaluation designed in before launch — not bolted on after the first incident.
AI drafts, routes and classifies; a person signs off the decisions that matter. Human-in-the-loop is a design decision here, not an apology.
Your code, your model accounts, your data, documented for handover. We build AI you can run and extend without us, the same way we run our own.
Providers and models swap without a rewrite, and there's no per-seat AI platform standing between you and your own feature — or billing you for it every month.
Four things: agents and automation that remove manual hours; AI built into a website, store or product; AI audits that tell you honestly where it pays back; and AEO/GEO so AI assistants recommend you. We scope AI where it changes a workflow, not where it decorates one — a discipline shipping our own AI in production taught us.
Share the workflow, the product surface, or the search questions buyers ask. We'll reply with an honest audit plan — including when AI is not the answer.