Posted on March 25th, 2025

Cloud & Edge Platform to Orchestrate the Future of Electric and Autonomous Mobility

ANAHEIM, CA / April 29, 2025 — As the world accelerates toward an electric and autonomous future, Terbine is taking a bold leap forward, announcing its leadership initiative to create the first “orchestration layer” for autonomous and electric mobility systems. The large, untapped opportunity involves coordinating millions of intelligent machines — on land and in the air — through an advanced software architecture driven by Agentic AI and mobile edge computing.

“Much like SWIFT revolutionized global banking, and air traffic control made air travel safe, Terbine will become the backbone for orchestrating the operations and interactions of autonomous vehicles, drones, robots, and smart infrastructure,” said David Knight, Founder and CEO of Terbine. “We are building the brain for the new mobility ecosystem.

The Terbine Platform Roadmap

Supervision: The first phase focuses on real-time supervision of EV infrastructure. Terbine’s AI-driven platform monitors and manages charging networks across any cloud provider, ensuring charger availability, improving uptime, and enhancing user confidence. The platform is now available for operators of large fleets or public charging networks to establish pilots.

Synchronization: Next, Terbine will introduce dynamic policy management for safe, efficient routing of vehicles, vehicle-to-grid coordination, maintenance of fleet hardware, and integration with road toll and regulatory systems.

Orchestration: Ultimately, Terbine will fully orchestrate the interactions between autonomous cars, trucks, buses, drones, and robots, enabling innovations like dynamic micro-geofencing, platooning (linear swarming), and seamless V2X communication. This will produce revenues for Terbine and partners via microtransactions.

Laying The Groundwork for the Autonomous World

As AI advances and autonomous machines become ubiquitous, the complexity of managing diverse systems, manufacturers, owners, and regulations will demand intelligent orchestration. Terbine is positioned to lead this transformation across a wide range of machines, including:

• Automobiles
• Trucks
• Buses
• Aircraft
• Delivery and household robots
• Emergency and construction equipment
• Farming machinery
• Smart city infrastructure

The Future: Edge Hyperscaling

Terbine’s platform will leverage Agentic AI at the mobile network edge, enabling real-time decision-making through a distributed system of Edge AI nodes. With components like a Decision Engine, Policy Engine, and Sensor Fusion Engine, Terbine’s platform represents a fully realized AI-based mobile edge computing system — driving the next wave of mobility innovation.

Posted on December 18th, 2024

The American Center for Mobility (ACM) and technology provider Terbine have joined forces to provide a powerful AI-enabled system that will give automakers and EV charging equipment manufacturers the ability to test interoperability whenever they are preparing new software updates for release. The data management analytics platform, or DMAP is being partially funded through a federal grant and is intended to benefit the entire industry.

“The DMAP system will provide a mechanism for both OEMs and Electric Vehicle Supply Equipment (EVSE) manufacturers to collect data and insights to drive optimization and improvements in EV charging capabilities impacting the industry,” said Reuben Sarkar, ACM CEO. “With over-the-air (OTA) software updates on both the vehicle and charging equipment sides becoming commonplace, the need for advance interoperability testing in a broad matrix of combinations is growing evermore critical for EV adoption to move forward smoothly.”

The DMAP is being built upon the Terbine Data Exchange Platform or TDEP and will be capable of aggregating, anonymizing, analyzing, and reporting on trends stemming from testing. Results from tests will be made available to participants to inform any corrective actions required prior to releasing software updates to vehicles or charging units, as appropriate.

“Together with ACM we are creating a first-of-its-kind interoperability system that the EV ecosystem needs to progress rapidly,” said David Knight, Founder and CEO of Terbine. “Often when drivers are unable to charge it’s due to compatibility problems caused by software onboard the vehicle or inside the charger. By leveraging AI we are able to dramatically expand the scope and speed of testing for all players who participate.”

ACM will be the focal point for testing activities including both onsite at their facility in Michigan as well as virtually for remote participants. The goal of the combined effort is to establish the primary interoperability hub for the entire EV industry. It will first be showcased at events starting in the second quarter of 2025.

Posted on September 5th, 2024

First-of-its-kind system is designed to give operators of EV charging networks automatic detection, diagnosis and remedies for hardware, software and communications elements across geographies

LAS VEGAS, NV / September 5, 2024 — Terbine today announced its “Mission Control” system for EV infrastructure, bringing unprecedented monitoring and management of complex, multi-vendor charging networks. Coupled with the company’s cloud-based Charging Network Management Platform (CNMP), Mission Control leverages AI to make operating and maintaining charging systems straightforward and dependable.

Charging Must Be Seamless and Trouble-Free for Mass EV Adoption To Occur

Numerous problems have plagued early charging networks, resulting in drivers not being able to rely upon them. According to research conducted by Harvard Business School, publicly accessible charging stations are only 78% reliable. In contrast, cloud computing centers typically operate with 99.999% uptime. “Getting EV charging up to enterprise standards requires a top-down, well-architected approach and sophisticated monitoring,” said David Knight, Terbine CEO. “Ensuring high uptime and dependability is critical to mainstream consumers and fleet operators adopting electric vehicles, as it was with cellular networks and many other technological evolutions.”

Applying AI To Improve The EV Driver Experience

A common issue for EV drivers is being guided to a charging station only to find that the chargers won’t operate for them. Terbine Mission Control employs machine learning to predict when faults are likely to occur, then issue alerts to system operators. Linked with IBM’s segment-leading Maximo asset and maintenance management platform, Mission Control lets operators issue trouble tickets, pre-order parts and dispatch service technicians. Mission Control can integrate feeds from vehicles, weather stations, fleet logistics systems and many other elements of EV operations to create a comprehensive picture of charging network health.

Creating A Digital Twin Of The Entire Charging Environment

Mission Control models the locations and types of individual chargers, along with onsite battery storage units, physical and cyber security monitors plus the service records of all network components. Operators can zoom into a region and look at the realtime status of charging network elements. When vehicle telematics or mobile apps are available, the system can determine optimal routing of drivers to chargers that are known to be operating and available, enabling a positive experience.