Connecting, understanding, and orchestrating every asset across your operations. Governed autonomy at every critical threshold.
The world's most important systems — grids, ports, factories, buildings — were never designed to be autonomous. For two decades, software told us what was happening. It never made anything happen.
Physical AI is the shift from observing the world to operating it. From dashboards to decisions. From insight to action. From AI that describes to AI that runs.
Three architectural layers. One operating foundation.
Connects every asset across every site, vendor, and geography into one live operational truth. No vendor lock-in. No protocol limits. No partial views. Across every site, every market, every region you operate.
The Physical Data Backbone runs closed-loop connectivity across IT and OT, in real time. A Spatiotemporal GraphDB preserves the context — what, where, when — for every asset, every signal, every change.
Closed-loop data acquisition and command execution at the asset level.
Accelerated integration of new sites, OEMs, and asset classes.
Unified data plane across operational technology and enterprise IT.
Relational, temporal, and geospatial context preserved across the portfolio.
Turns raw signal into operational meaning, fusing ontologies, business rules, domain models, and metric frameworks into a single continuous world-state that holds the past, the present, and the predicted future of your operations.
The Industrial Intelligence Hub is the platform's operational intelligence engine. A proprietary knowledge graph encodes how every asset behaves, how systems interact, and how outcomes propagate, delivering context-aware reasoning that generic AI cannot.
Structured representation of every asset, system, and relationship.
Domain expertise across energy, infrastructure, transport, and manufacturing.
Operational logic, thresholds, and governance constraints — fully configurable.
KPIs from asset-level performance to portfolio-level financial outcomes.
360+ pre-trained AI models for forecasting, detection, optimisation, and control.
What it does: Pattern recognition. Cross-site fault signatures. Operational learning across every connected asset. What it prevents: Repeated mistakes. Hidden patterns. Operational amnesia.
What it does: Real-time situational awareness. Live operational truth. Continuous reconciliation between asset reality and model state. What it prevents: Stale reports. Coordination lag. Decision drift.
What it does: Predictive maintenance. Demand forecasting. Pre-emptive intervention. Autonomous preparation. What it prevents: Unplanned downtime. Missed market windows. Regulatory surprises.
The operations that survive the next decade will not be the ones that monitor reality. They will be the ones that operate ahead of it.
AI agents convert understanding into action, executing decisions in real time, across thousands of assets, within governance boundaries your teams define. Autonomous at the execution layer. Human at the governance layer.
The Industrial Agentic AI Studio is the platform's control tower. Agents are deployed against specific operational outcomes — uptime, savings, throughput, compliance — and execute closed-loop control within configurable thresholds.
Natural language interfaces between operators and the platform.
Autonomous analysis, root-cause attribution, and insight surfacing.
Closed-loop process execution across operational systems.
Multi-agent coordination, conflict resolution, and governance gating.
Connected to the physical world. Trained on it. Acting on it — at machine speed, within human-defined thresholds.
Perceive. Think. Act. And back again. Every cycle adds new context. Every context sharpens the next decision. Over time, the platform doesn't just run your operations — it gets better at running them.
A decade of domain intelligence, fused with every asset connected and every decision made — compounding into a model no new entrant can buy and no competitor can rebuild overnight.
This is not a feature. It is a moat.
Domain expertise applied before a line of code is written.
Proprietary knowledge graph fused with industrial ontology.
Domain-specific agents in live operations with closed-loop control.
Every deployment feeds back. Every decision sharpens the model.
Univers operates today across some of the world's largest energy, logistics, and infrastructure portfolios. These are deployments, not demonstrations.
We identified AI and IoT as technology levers to deliver intelligent insights and open our existing capabilities in engineering and operations.
Tan Choon Huat, AVP Energy Infrastructure, PSA
Read the PSA story →Univers enables us to solve sustainability data and transparency challenges, and provides a link between sustainable finance and verifiable decarbonization.
Nathalie Blyth, Global Head of Commercial Banking Sustainability, HSBC
Read the HSBC story →The environments Univers operates in have zero tolerance for security failure. Neither do we.
Every deployment is underpinned by IT and OT certifications, global compliance standards, and security architecture purpose-built for mission-critical environments.
ISO 27001
SOC Type II
IEC 62443
MLPS Level 3
GDPR
NIS2
Cyber Essentials
NERC CIP
NIST
EU Cyber Resilience Act
The same operating foundation, calibrated to the operational rhythms of each sector.
10 to 20% O&M cost reduction · 12%+ revenue protection via AI power forecasting.
85M+ TEUs managed at PSA · 8 to 12% energy reduction · 99.5% disruption reduction.
9.8% verified energy savings · 99.5% asset uptime · payback under 12 months.
10:1 ROI · 30% equipment effectiveness gain · 40% reduction in unplanned downtime.
Whether you're ready to operate ahead — or just want to see how others already do — start with a conversation.
A 30-minute conversation with the team that operates inside mission-critical environments — to map Univers to your portfolio and the outcomes you need.
Book a call
