Berlin's Almetra raises €16M Series A to give factories sight with cameras and AI

Berlin-based Almetra — the manufacturing-intelligence company formerly known as Deltia — has raised a €16 million ($19 million) Series A led by transatlantic firm Blisce, with NAP, Merantix, Robin Capital, Underline Ventures and Critical Ventures joining. The round arrives alongside the company's rebrand from Deltia to Almetra.

Cameras instead of sensors

The problem Almetra attacks is one most factories quietly live with: they cannot see themselves clearly. Plant teams know a line is running below capacity, but pinpointing where and why the time disappears usually means an expensive, slow programme of sensors and IT integration wired into ageing machinery.

Almetra's approach is to skip that. Its AI-powered cameras watch the production line and convert raw video into structured, real-time data — cycle times, output, machine utilisation — with no IT integration required. Founder and CEO Maximilian Fischer puts the gap bluntly: "Factories make everything around us, yet most of them are essentially running blind... We give them certainty instead of guesswork." Founded in 2022 by Fischer and Silviu Homoceanu, the company now runs at roughly 40 employees.

From watching to acting

A camera that can read a line is the first step; the larger ambition is what follows. Almetra wants to grow from a measurement tool into an intelligence and automation layer — using the data it captures to drive decisions and, ultimately, robotics on the floor. That trajectory, from seeing to acting, is what the Series A is meant to fund, alongside product development and a push into the United States.

The customer roster is the strongest evidence the thesis is landing. Bosch, Siemens Energy and Aumovio — the company formerly known as Continental — are already users. These are not pilots chasing novelty; they are some of the most demanding industrial operators in Europe, and their presence signals that camera-based visibility is being treated as real infrastructure rather than an experiment.

The bet underneath

The wager is sequential: you cannot automate what you cannot measure, and most factories still cannot measure themselves cheaply. By making the measurement step nearly frictionless — point a camera, skip the integration — Almetra is positioning to own the layer that everything downstream, including robotics, would have to run on. The risk is the same as the opportunity: turning observation into reliable automation is a far harder problem than reading a line, and that is the ground the next phase will be won or lost on.