Kongsberg Digital provides an AI‑powered Industrial Work Surface that unifies real‑time sensor data, master data, and transactional information into a contextual digital twin cockpit for asset‑intensive industries. The platform delivers interactive 2D/3D visualisations, predictive analytics, workflow automation, and Agentic AI assistants to enable operators and engineers to monitor, plan, and optimise plant performance, reducing downtime and operating costs.
Funding
$90M 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.
SVFounders
Product
Problem
Asset‑intensive industries such as oil & gas, renewables, chemicals, and maritime face growing operational complexity, fragmented data sources, and limited visibility into real‑time plant performance, leading to inefficient decision‑making, higher maintenance costs, and reduced reliability.
Solution
Kongsberg Digital delivers an AI‑powered Industrial Work Surface that unifies real‑time sensor data, master and transactional information into a single, contextualised digital twin workspace. The platform provides interactive 2D/3D visualisations, predictive analytics, and workflow automation that enable teams to plan, execute, and optimise operations across the enterprise. Integrated Agentic AI and DataOps capabilities surface actionable insights, support proactive maintenance, and allow operators to simulate scenarios before acting, thereby improving safety, reducing downtime, and lowering operating expenses.
Target Audience
Primary customers are operators, engineers, and asset‑management teams in large‑scale, asset‑intensive sectors such as oil & gas, power generation, offshore wind, chemicals, and maritime, as well as system integrators delivering digital transformation projects.
Features
- Unified digital twin cockpit aggregating IoT streams, historian tags, P&IDs, work orders and documents into a searchable graph model
- Real‑time monitoring and predictive analytics powered by AI to flag anomalies and forecast equipment health
- Integrated planning and scheduling tools with conflict detection, Gantt visualisation and ERP connectivity
- 2D/3D visualisation of assets and processes, including immersive VR/AR interfaces for remote collaboration
- Agentic AI assistants that suggest actions, automate routine tasks, and generate simulation scenarios on demand
- Cloud‑native architecture supporting scalable data ingestion, secure multi‑tenant access, and API integration with existing enterprise systems