Founder and CEO
Tether
10/10Traction
Tether provides a prediction and optimization engine for electric vehicle charging infrastructure. The platform learns individual driver behavior to unlock flexibility for smart charging applications and Vehicle-to-Grid (V2G) services. This enables charging solution providers to offer tailored services and generate ancillary revenue from parked EV batteries.
- Artificial Intelligence
- Clean Technology
- Energy
- Enterprise Software
- Internet of Things
- Software Only
Updated 1 month ago
Funding
Raised to date
$1.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 6 rounds
$1.5M · Seed
Announced Jun 2025
Disclosed cumulative: $1.5M
6/6
RoundDateAmountValuationInvestors
Founders
Product
Problem
Electric vehicles (EVs) are parked the majority of the time, representing a significant untapped energy storage resource. Current charging solutions often lack the intelligence to optimize charging schedules based on individual driver behavior and grid needs. This results in inefficient energy usage and missed opportunities for EV owners to generate revenue through vehicle-to-grid (V2G) services.
Solution
Tether provides a prediction and optimization engine that analyzes EV driver behavior using machine learning to transform parked EVs into flexible energy storage. The platform learns individual charging and driving patterns to unlock the full value of EV flexibility. By integrating Tether, charging solutions can identify and classify users, generate synthetic driver profiles, and predict individual charging behavior. This enables flexible charging and V2G capabilities, allowing EV owners to provide ancillary services to the power grid and generate additional revenue.
Target Audience
The primary target audience includes EV charging solution providers and energy companies seeking to optimize EV charging, provide V2G services, and generate revenue from EV flexibility.
Features
- Machine learning models that predict individual EV charging and driving behavior
- User identification and classification to provide tailor-made charging services
- Generation of synthetic driver profiles to supplement existing datasets
- Actionable user reports providing insights into EV charging behavior
- Flexible charging and V2G capabilities for grid stabilization and revenue generation
- API for easy integration into existing charging solutions