An intelligence company, rooted in data and AI, built in India, built for the world.
Read our manifesto →
There is a mushroom grower in Kasavanahalli, Bangalore who has tended her farm for twenty-three years. She knows exactly which customer wants the button mushrooms and which wants the oyster variety. She knows who orders every Thursday without fail and who calls only when the season changes. She carries, in her memory, an intelligence that no algorithm has yet been able to fully replicate. She has never had a data scientist working for her.
For generations, the tools that turn raw knowledge into structured power — into decisions made faster, risks understood deeper, opportunities seen sooner — have been available only to those who could already afford them. This was never inevitable. It was a choice the world made, quietly, by default.
We have spent twenty five years inside that world — building models for banks, designing systems for insurers, engineering data pipelines for companies across three continents. We know exactly how that intelligence works. We know exactly what it costs. And we know exactly who has never had access to it.
That knowledge became a responsibility.
Today, Ckuens builds intelligence that does not wait to be consulted — it acts. It builds platforms that carry enterprise-grade capability to the merchant who cannot afford an enterprise. It builds systems that make the mid-sized company AI-native before their larger competitor realises what happened. It works with governments to ensure that policy is no longer built on assumption.
We are rooted in Bangalore. We are proving what is possible across India. We intend to take this to every part of the world where the same inequality exists — which is to say, everywhere.
We are not in a hurry. We are not chasing a trend. We are correcting something that has been wrong for a long time. And we intend to build it so well, so fairly, so durably, that it cannot easily be undone.
We do not know yet how far this goes. We know only that it must.
Capability, finally for all.
Enterprise
We build AML models, fraud detection systems, and AI-enabled decisioning platforms for banks and insurers across India, GCC, and the UK. The rigour is regulatory-grade. The results are measurable.
SME
Mid-sized manufacturers and platforms become AI-native through bespoke platforms and IoT analytics. The engagement in the USA delivered autonomous operations at scale — something the company had not thought possible in the timeframe.
MSME & Vriddhi
Vriddhi brings enterprise-grade capability to neighbourhood commerce — a trust graph, a mini-ERP, DPDP-compliant from day one. Built in Bangalore. Built for every market where the same gap exists.
Government
We work with governments not as a vendor but as a partner in building national capability. Analytics, policy research, and capability inclusion at a scale that changes what is structurally possible.
Intelligence that does not wait to be consulted. Capability that does not require an enterprise budget. The form changes. The purpose does not.
Explore what we build →Our most human expression
Your shops. They know you.
For the merchant who has never had a data scientist working for her — who carries her customers' preferences in memory alone — Vriddhi is the first tool built entirely in her service.
Enterprise-grade intelligence, finally belonging to the corner shop. A trust graph. A mini-ERP. DPDP-compliant from day one. Built in Bangalore. Built for India. Already thinking about everywhere else.
The invisible web of remembered preferences, buying patterns, and loyalty that neighbourhood commerce runs on — made visible, structured, and actionable.
Inventory, orders, customer records, and analytics — in a single tool that does not require a team or a training budget to operate.
Built when India's data protection law was still being written. Compliant from the start, not retrofitted. The merchant's customer data is protected as it should be.
Rooted in the realities of Indian neighbourhood commerce. The infrastructure, the language, the trust networks — designed from the ground up, not adapted from elsewhere.
Your deep expertise in analytical and critical thinking, rigorous process around execution and high-quality judgment make it all the better and effective.