LOKEL
LÖKĒL is building LOKELOS, a thermodynamic operating system that integrates edge compute, controlled-environment agriculture, and clean energy microgrids into hyper-local, grid-restorative infrastructure hubs. The system uses a Physics-Informed Neural Network orchestration engine to provide Synthetic Inertia via High-Speed Demand Modulation, enabling grids to double effective feeder capacity without traditional infrastructure upgrades.
- Energy
- Clean Technology
- Artificial Intelligence
- Agriculture Technology
- Internet of Things
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Legacy grid distribution systems face quantifiable reliability failures, including chronic harmonic distortion and low-voltage transients, which result in persistent equipment failures for energy-intensive facilities like controlled-environment farms. Traditional infrastructure upgrades are costly and slow, limiting grid capacity and resilience for growing local energy demands.
Solution
LÖKĒL is building LOKELOS, described as the world's first thermodynamic operating system that integrates edge compute, controlled-environment agriculture, and clean energy microgrids into hyper-local, grid-restorative infrastructure hubs. The company architected the LOKEL Farm Park framework and LOKELOS orchestration engine as a Federated Non-Wires Alternative (NWA) designed to double effective feeder capacity. By leveraging controlled-environment agriculture as a flexible asset, LOKELOS provides Synthetic Inertia via High-Speed Demand Modulation, converting vulnerable production facilities into resilient, grid-enhancing assets. This physics-informed approach enables grids to increase effective capacity without traditional infrastructure upgrades, while creating a closed loop where energy, data, and food flow together locally.
Target Audience
Primary customers are grid operators and utilities seeking non-wires alternatives to increase distribution capacity, as well as controlled-environment agriculture operators looking to convert their facilities into grid-enhancing assets.
Features
- Physics-Informed Neural Network (PINN) orchestration engine that optimizes grid interactions in real time
- Federated Non-Wires Alternative (NWA) framework designed to double effective feeder capacity without hardware upgrades
- Synthetic Inertia provision through High-Speed Demand Modulation ("Shed" capacity) using agricultural loads as flexible assets
- Integration of edge compute, controlled-environment agriculture, and clean energy microgrids into unified infrastructure hubs
- Architecture built on three core pillars: Safety, Autonomy, and Interoperability
- Hyper-local closed-loop systems where energy, data, and food flow in a circular model