ABOUT DATANOMOUS

The autonomous operating layer for physical operations.

Software transformed knowledge work over the last 30 years. The next transformation will happen in physical operations. Warehouses, yards, production floors and distribution networks won't just be processes run by people anymore. They'll work with a digital workforce that sees, thinks and acts. Datanomous is building that future. We don't build dashboards. We don't add new screens for people to watch. We build Digital Workers that understand the physical world through cameras and sensors, make operational decisions, and carry them out through your existing WMS, TMS, ERP and automation systems. Each Digital Worker does one operational job, perfectly. It manages the gate. It optimizes the yard. It plans the shift. It positions inventory. It executes the order. All of them work together on the same Digital Brain. Over time, the goal isn't just to support operations — it's to build a shared operating layer that can run the whole of physical operations autonomously. Control always stays with the business.

WHY NOW?

AI has started automating knowledge work.

Physical operations, meanwhile, are still running on fragmented software, manual coordination and human decisions. Warehouses are filling up with more automation. Robots are increasing. Cameras are multiplying. Sensors are going in everywhere. But the layer that runs all these systems with one shared intelligence is still missing. Today, every system knows its own domain. None of them understands the operation as a whole. None of them turns what it sees into action. That missing layer is what Datanomous is. Cameras perceive the physical world. Digital Workers interpret the situation. One Digital Brain makes the best decision. The decision is carried out in your existing systems. The result is verified again from the physical world. This loop runs again every day, every shift and every order. So the operation doesn't just become digital. It starts to become a system that runs itself. We call this Autonomous Operations. Our first target is warehouses. Our long-term goal is to become the default operating layer that runs the world's physical operations.

Our manifesto

Systems record. They do not decide.

Read the manifesto →
WHAT WE BELIEVE

What we believe.

01

We run on top of what you already have.

No rip and replace. The Digital Brain sits above your WMS, TMS and ERP, reads them, decides, and writes the next action back. Your systems stay; we make them work together.

02

Humans stay in command.

Agents handle the thousand routine decisions every hour. Your people own the exceptions, the judgement calls and every critical action, which they approve.

03

Value is proven before it scales.

We calculate the recoverable value on your own numbers before deployment, prove it in production on one problem, then expand. Your data, your control, no lock-in.

WHERE WE OPERATE

Two offices. Global reach.

London

Headquarters

Serving Europe and global clients.

Istanbul

Engineering & Delivery

Engineering and delivery team.

LEADERSHIP

The team behind Datanomous.

Cengiz Kayay

Cengiz is a technology entrepreneur and founder of Datanomous.

Twenty years building enterprise data and AI architecture — Chief Architect at NTT DATA, Analytics & AI Manager at Accenture UK, Principal Architect at Emirates, Enterprise Architect at Ericsson. The work always circled one sentence: turn scattered systems into one that can decide.

LinkedIn →

Atilla Yıldıztekin

Atilla is a logistics operator and supply chain adviser to Datanomous.

Founding General Manager of Borusan Lojistik, Arkas Lojistik and Aras Logistics — the three companies that built the Turkish logistics sector. Author of most of Türkiye's regional logistics master plans, from Mersin to Gaziantep. Adviser to more than seventy companies. Sixteen years teaching logistics and warehouse management at Yeditepe University. Chair of the CSCMP Türkiye Round Table.

LinkedIn →

Let's talk operations.

If you run an operations-heavy business and you've been waiting for AI to actually do work — that's why we exist.