Cognitive Orchestration Layer
Runs agents, planning loops, simulations, and workflow orchestration for maintenance, energy, production, and enterprise decision support.
Industrial AI infrastructure
Install closed-loop intelligence into industrial operations
Tangerine gives industrial companies a governed runtime to sense, model, decide, and execute across plants, fleets, energy systems, and critical workflows.
We help enterprises move from dashboards and fragmented pilots to operational intelligence that can support multi-step automation. Tangerine connects plant systems, enterprise workflows, and AI models where operations actually happen: at the edge, across sites, and inside high-value industrial decisions.
Why now
Models are improving. Architecture now determines advantage.
Frontier models are now strong enough to support real operational workflows, but autonomy is still bounded and deployment risk is still real. The competitive edge is shifting away from raw model access and toward runtime architecture, governance, and orchestration: how systems connect, how decisions are controlled, and how automation scales across the enterprise.
Platform
One platform for enterprise orchestration and closed-loop control
The Tangerine platform connects operational systems, enterprise data, and AI services into one operating layer. It is designed to help teams sense what is happening, model what matters, decide with policy in place, and execute through governed workflows without breaking existing operations.
Sovereign Runtime + Operating Fabric
Manages policy, model versions, audit trails, workload routing, and site-level controls so intelligence can scale without losing governance, auditability, or workload control.
Edge Runtime
Executes close to equipment and operations with local preprocessing, low-latency inference, secure deployment, and continuity where latency, sovereignty, or connectivity matter.
Architecture
A governed runtime between systems of record and operational execution
Tangerine sits between industrial systems of record and operational execution. It reads from sensors, historians, MES, ERP, SCADA, and external data sources, then applies models, rules, and orchestration to support closed-loop operational control. This lets enterprises automate high-value workflows without compromising safety, traceability, approval boundaries, or local control.
Works with existing systems
Tangerine is designed to sit on top of existing operational and enterprise software rather than forcing a rip-and-replace program.
Local execution, central governance
Sites can execute locally while policy, model management, auditability, and learning are governed centrally across the enterprise.
Designed for operational trust
Approval flows, policy controls, and system boundaries help industrial teams introduce AI into operations without losing discipline or board-level confidence.
Built to scale across sites
A successful workflow at one plant, fleet, or facility can be standardized, governed, and rolled out across broader operations as reusable enterprise automation.
Industries
Designed for operations where reliability and efficiency move the P&L
Tangerine is built for industrial environments where unplanned downtime, energy intensity, operational variability, and coordination complexity directly affect output, cost, and resilience.
Rail Networks
Use intelligence for asset health, maintenance planning, dispatch support, and system-wide coordination across rail infrastructure.
Ports & Logistics
Coordinate terminals, yards, fleets, and cargo flows with better scheduling, lower delays, and stronger asset utilization.
Energy Systems
Optimize renewables, grid assets, substations, and site-level demand with better forecasting, control support, and operational visibility.
Mining & Resource Operations
Improve fleet coordination, equipment utilization, maintenance timing, and visibility across heavy mobile operations.
Process Industry
Apply intelligence to energy use, maintenance, quality, and process stability across chemical, food, and continuous production environments.
Heavy Industry
Support uptime, safety, and energy performance in capital-intensive manufacturing, metals, and other high-load industrial systems.
Outcomes
Operational outcomes that teams can actually measure
Tangerine is designed to improve the economics of real operations. The goal is not more dashboards. The goal is fewer avoidable failures, better decisions, higher asset utilization, and repeatable gains as operational intelligence compounds across plants, fleets, and infrastructure.
UptimeIdentify failure patterns earlier, improve intervention timing, and reduce avoidable operational disruption.
ThroughputExpose bottlenecks, stabilize production decisions, and support higher output from existing assets.
EnergyLower waste, improve plant-level efficiency, and connect energy decisions more directly to operations.
EconomicsReplace fragmented pilots and point tools with reusable intelligence that compounds across sites and workflows.
Global
Built for multi-site, regulated, and sovereign-ready operations
Tangerine is designed for industrial groups operating across countries, plants, fleets, and regulated environments. The platform supports local execution, central governance, and cross-site learning so enterprises can standardize what works without losing operational flexibility or workload control.
Our team combines software architecture depth with industrial operating experience, but the product story is practical: deploy into existing environments, govern centrally, execute locally, and scale successful workflows across the enterprise with sovereign-ready runtime discipline where needed.
Local execution with central policy
Designed for regulated environments
Cross-site learning and auditability
Contact
Start with one high-value workflow
Common starting points include predictive maintenance, energy optimization, production monitoring, and decision support across multiple sites. If you want to evaluate fit, Tangerine can help map the architecture, data sources, and first deployment scope.