Ontowin combines AI-powered Digital Twins, Multi-Agent Reinforcement Learning, and Semantic Knowledge Graphs to transform any facility into a self-optimising intelligent system — at low cost, with unlimited growth potential.
As facilities grow more complex, traditional management approaches are falling short. Ontowin addresses three fundamental gaps in the industry — and offers something genuinely different.
Traditional systems cannot adapt to changing conditions in real time — leading to resource waste, supply chain disruptions and steadily increasing operational costs.
Existing digital twin solutions focus on isolated problems, missing the complex cross-process relationships that run through an entire facility.
Most platforms fail to account for employee behaviour, accessibility and engagement — elements that are central to the transition towards Industry 5.0.
Multi-Ontology AI-based Facility Digital Twin creates a digital replica of your facility, enabling operations to be defined, visualised and continuously optimised. Through our Multi-Ontology and Multi-Agent AI modules, we model the invisible semantic connections between space, process, energy and people — connections no standard platform captures.
Ontowin's architecture rests on three deeply integrated AI disciplines that together create a facility management system unlike anything available today.
A living, breathing replica of your physical facility — updated in real time from IoT sensors, people movement, and environmental data. The Digital Twin enables virtual simulation, predictive maintenance, and data-driven decision-making without a single physical experiment.
A rich, machine-readable representation of all facility knowledge — assets, spaces, relationships, regulations, maintenance history. Knowledge Graphs give the AI agents context and memory, enabling nuanced reasoning that goes far beyond simple rule-based automation.
A coordinated network of autonomous AI agents — each specialised in a specific domain (energy, HVAC, security, space utilisation) — that continuously learn from the facility's behaviour and collaboratively optimise operations. The system improves every day, entirely on its own.
A closed-loop, self-improving architecture that transforms raw sensor data into intelligent, actionable facility decisions.
IoT sensors, BLE devices and gateways provide indoor positioning and real-time data streams — creating a continuous, live feed of everything happening inside the building.
Data is processed through our Multi-Ontology layer, where semantic relationships between workflows, spatial data and operational processes are defined — giving the system true contextual understanding.
Structured data is analysed by the central AI-Core. Predictive models run continuously alongside anomaly detection — identifying patterns and risks before they surface as real-world problems.
Multi-Agent simulations model human behaviour and facility dynamics. What-if scenarios reveal risks and bottlenecks before they occur — enabling proactive management rather than reactive firefighting.
Insights are applied to the live facility pilot. Managers receive actionable recommendations through intuitive dashboards — then the loop restarts, continuously learning and improving with every cycle.
Ontowin is designed to deliver measurable value from day one — while building a foundation that grows smarter and more capable over the entire lifetime of your facility.
Unlike traditional facility management platforms, Ontowin delivers immediate, quantifiable savings — in energy, operational costs, and maintenance — within weeks of deployment, not years.
Every day of operation makes the system smarter. Multi-Agent RL agents accumulate experience and refine their strategies continuously — the facility literally learns to manage itself better over time.
Ontowin integrates with your existing systems — SCADA, ERP, BMS, IoT sensors. There is no costly overhaul. The platform starts small and scales effortlessly as your needs evolve.
Intelligent energy management reduces consumption by up to 30%, cuts carbon emissions, and helps facilities meet increasingly stringent ESG and regulatory requirements — automatically.
The same architecture that optimises a single office floor can scale to an entire campus, industrial park, or urban district — a true platform for the intelligent buildings of tomorrow.
Co-developed with TU Eindhoven, Ontowin embeds cutting-edge academic research directly into a production-ready product — giving customers access to AI capabilities that are years ahead of the market.
Ontowin is a Eurostars-funded collaboration between four complementary organisations spanning IoT infrastructure, AI consulting, academic research, and enterprise technology.
The Ontowin consortium — JeoIT · Karel · TU Eindhoven · Univia
Operating as Evolved.city, JeoIT brings world-class IoT infrastructure, real-time data frameworks, and Digital Twin expertise across the Netherlands and Turkey.
A leading Turkish technology company with decades of experience in enterprise communications, smart building solutions, and large-scale infrastructure deployment.
One of Europe's leading technical universities, providing the advanced research backbone for Ontowin's Multi-Agent RL and Knowledge Graph architectures.
Univia makes AI accessible in practice — translating complex data and AI capabilities into real, human-centred solutions that work for people and organisations.
Whether you're a facility manager, investor, or potential partner — we'd love to show you what Ontowin can do. Request a live demo, explore a pilot, or learn more about the Eurostars programme.
Onto.Win was developed with support from the TÜBİTAK-TEYDEB Support Program (Project No: 5902). However, all responsibility for the product/service lies with project partners.
