Almetra provides manufacturing teams with privacy‑preserving video and AI that continuously captures real‑time production line activity, turning raw footage into actionable insights about performance bottlenecks. By integrating with existing dashboards and MES systems, it helps engineers pinpoint root causes of downtime and implement data‑driven improvements, delivering measurable gains on the shop floor.
Funding
€20.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BBBBCV+2Founders
Product
Problem
Manufacturers often rely on dashboards, MES systems, and OEE reports that show end-of-day output but fail to reveal why performance gaps occur on the shop floor. Without a clear view of real-time, on‑line activities, engineers spend time searching for root causes and make decisions based on assumptions rather than data.
Solution
Almetra provides an AI‑driven intelligence layer that continuously captures production activity using privacy‑preserving video and integrates it with PLC, MES, and ERP data. The system transforms raw video into structured entities, actions, and process events, building typed process graphs that expose bottlenecks, downtime, and non‑value‑adding steps. Machine‑learning models perform root‑cause analysis and generate actionable improvement recommendations, which can be simulated, benchmarked, and exported to existing manufacturing systems. The platform also creates automation‑ready blueprints, enabling seamless handoff to robotics or autonomous workflows. By delivering an objective, real‑time picture of shop‑floor reality, Almetra turns visibility into measurable productivity gains.
Target Audience
Primary customers are manufacturing engineers and operations managers at large‑scale factories seeking data‑driven insight into line performance, as well as automation teams preparing for robotic or autonomous workflow deployment.
Features
- Edge‑deployed computer‑vision pipelines that convert video into robust representations of people, tools, parts, and workstations while deleting raw footage immediately for privacy
- Integration of visual data with PLC signals, MES orders, and ERP records to form a unified operational record
- Temporal AI models that infer actions, wait times, and deviations over minutes, producing cycle‑time, bottleneck, and value‑add analyses
- Automated generation of typed process graphs that capture states, transitions, variants, and failure modes for auditability and reasoning
- Root‑cause analysis and simulation tools that recommend specific improvements, benchmark performance, and support “what‑if” scenario planning
- APIs and connectors for seamless data flow into existing manufacturing execution systems and downstream automation platforms