DATANOMIQ AG · Swiss
We connect robots, machines and enterprise systems into one end-to-end data and AI platform – from the sensor on the shop floor to the digital twin in the cloud. So your factory does not just automate, it learns.
Principle
From the machine via the campus network to the digital twin: every DATANOMIQ solution follows the same principle – capture data, connect it, analyse it and feed the result back into the plant as a control signal.
Sensors, machine and logistics data
5G campus network, OT/IT integration
Digital twin, AI models
Feedback into plants and robots
Solutions
Our solutions build on each other: data first, then the platform, then the intelligence. Each stage delivers measurable value on its own.
Robot cells, cobots, AMR fleets as well as humanoid and quadruped robots are connected to your IT infrastructure – via OPC UA, MQTT and fieldbus up to the MES.
Storage of all machine, movement and order data in a scalable platform – structured, versioned and ready for analysis.
Central dispatching of orders from the ERP to the robot smart factory, knowledge bots on company data and AI-supported decisions.
Local hosting of AI models: language models, vision models and vector databases run inside your infrastructure – no leakage of sensitive data.
Up to 100% process and data transparency: make bottlenecks, loops and waiting times visible – from order intake to shipping.
AI agents and workflows automate ticket support, document checks and reports – connected to ERP, ticketing system and Teams.
Smart Factory
Our model factory shows how the field, control, communication, MES and cloud levels interact – and at which level AI comes into play.
Robots, sensors and actuators capture and control the physical process directly at the machine.
Robot controllers and PLCs process sensor data in real time and issue motion commands.
Robots exchange status and coordination data directly, e.g. for collision-free path planning.
Consolidates production orders, quality and plant data across the whole production.
Links production data with business processes, analytics and remote maintenance.
Operators monitor and access the field, control and communication levels via HMI and tablet.
Data Platform
Scalable, based on Microsoft cloud technology – or operated locally on request. The platform automatically monitors terabytes of machine sensor, order and metadata.
Source systems
Data Platform
Data pipelines, lakehouse, governance and API layer
Applications
Automated monitoring of your data enables …
… a level of transparency your organisation has never experienced before.
Use Cases
Examples from practice – each with situation, solution and measurable result.
Local AI / AI as a Service
Impact: The company runs its own AI use cases with full data sovereignty and predictable costs – and can offer AI functions as AI as a Service, internally for departments or externally for customers. Independent of individual vendors, scalable from the first pilot to regular operation.
Data Science / Machine Sensor Analytics
Impact: Plant efficiency increased by 10 to 20%. On top of that: lower costs, higher production volume and improved energy and quality management.
Data & Process Transparency
Impact: Unnecessary process loops were eliminated and bottlenecks identified; additional operations and waiting times were resolved in around 50% of cases. In quality inspection in particular, the processes also became more transparent – and thus audit-proof.
Data & AI Strategy
Before robots and AI models can make an impact, you need a strategy: data sources, information flows, responsibilities and a target picture. We accompany you from assessment to roadmap.
Whether it is a first data platform, a robot integration or an enterprise AI project: we start with a no-obligation conversation and a clear picture of where you stand.
