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DATANOMIQ

Solutions

From the robot cell to the knowledge bot

DATANOMIQ AG develops and integrates data and AI systems for industrial companies. Our solutions build on each other: data first, then the platform, then the intelligence – and each stage delivers measurable value on its own.

01

Robotics & Smart Factory

Robots generate cycle, quality and condition data. We make sure this data travels upwards – and that results flow back into the cell as new parameters.

  • Integration of Robotic Systems

    Integration of robotic systems into the IT infrastructure: from the robot cell via cobots and AMR fleets to humanoid and quadruped robots.

    • Connection via OPC UA, MQTT and fieldbus – edge gateway to MES and digital twin
    • Cell controllers and PLCs for real-time control, workpiece flow with RFID
    • Safety zones, collaborative zones and safety data kept in view
  • Fleet Orchestration & Edge AI

    Orders are distributed dynamically across robot cells, AMR fleets, humanoids and quadrupeds – with inference running directly at the edge.

    • Dynamic order allocation across robot generations
    • Edge data centre and control room as the bridge between OT and IT
    • Data from all fleets in one shared digital twin
  • Localisation & Customising of Robotics

    Adapt robot solutions to your site, your plants and your processes – including interfaces, standards and language.

    • Adaptation to existing plants without rebuilding the cell
    • Inline vision inspection and AI image processing directly in the line
    • Commissioning, training and operation

02

Data & Platform

Without a reliable data foundation, every AI remains an experiment. We build the platform on which your models, analyses and reports run.

  • Data Lakehouse

    Storage of all machine, movement and order data in structured layers and data lake containers – as a single source of truth.

    • Data warehouse and data lake in one architecture
    • Reliable foundation for reports, models and the digital twin
    • Microsoft Cloud, Databricks, BigQuery – or on-premises
  • Data Platform for Enterprise Systems

    ERP, MES, WMS, SRM, CRM and machine data in one scalable, universal data and AI platform based on Microsoft cloud technology.

    • Automated data pipelines and data quality checks
    • APIs for machine learning, process mining and business intelligence
    • Governance: access, roles and traceability
  • Performance Monitoring & KPI Cockpit

    Manufacturing KPIs in the daily shop floor meeting – from real data instead of estimates.

    • As-is process instead of PowerPoint process
    • Make WIP, bottlenecks, rework and loops visible
    • Measures made measurable: before/after comparison

03

Enterprise AI

Artificial intelligence that works on your data – in the cloud or locally inside your infrastructure.

  • Enterprise AI & Knowledge Bots

    Multi-layered enterprise AI based on document vectorisation and large language models – with a comprehensive data access and governance layer.

    • Knowledge bot with access to ERP, document and other data pools
    • Semantic search across reports, specifications and contracts
    • Central dispatching of orders from the ERP to the robot smart factory
  • Local AI

    Local hosting of language and vision models as well as vector databases – data sovereignty included.

    • Operation in your data centre or with a Swiss hosting provider
    • Open models adapted to your terminology and documents
    • No transfer of sensitive production or customer data
  • AI Agent Automation

    AI agents and workflow automation, e.g. with n8n, connect models with your ticketing system, e-mail, ERP and Microsoft Teams.

    • Ticket classification and assignment with ML clustering
    • Automated document creation and review
    • Live monitoring and evaluation with process mining models
  • NLP & Computer Vision

    Machine understanding of text, receipts and images – from the invoice to the workpiece.

    • Named entity recognition and account mapping on invoices
    • AI image processing for inline quality inspection
    • Text mining on ticket descriptions, notes and reports

04

Analytics & Process Intelligence

From descriptive to prescriptive: we take your analytics to where it prepares decisions – or automates them.

  • Process Mining

    Data-driven process analysis based on event logs from ERP, CRM, SRM, ITSM and PLM. Delivers up to 100% process and data transparency – and thus higher data quality.

    • Auditing and compliance checks
    • Extraction of best and worst practices, e.g. as requirements before an ERP migration
    • Identify bottlenecks, duplicate work, waiting times and automation potential
  • Prediction Systems

    Predictive analytics for failures, demand and financial KPIs – with models that learn from your process data.

    • System failure prediction from sensor and process features
    • Demand forecasts for working capital optimisation
    • Revenue and customer lifetime value forecasts with time series models
  • Data Analytics Evolution

    We advance your analytics step by step: from standard reporting via diagnostics and prediction to optimisation.

    • Descriptive: what happened – and when?
    • Diagnostic and predictive: why – and what comes next?
    • Prescriptive: how must the business be configured to reach the optimum?
  • Digital CFO Advisory

    Audit readiness, data transparency and financial data quality in real time – with AUDAVIS, a software developed together with auditors and founded by our founder.

    • Real-time overview of financial data for CFO, controlling and auditors
    • Proactive audit readiness for financial audits, tax audits and due diligence
    • Trend analyses, benchmarks, liquidity KPIs and reconciliation of financial and material movements
    AUDAVIS – www.audavis.ai

Which solution fits your situation?

In a first conversation we clarify where you stand – and which step has the biggest effect.