Zoniq is an AI-driven location intelligence platform that analyzes extensive utilization data and traffic patterns to identify optimal sites for public EV charging stations. By providing precise revenue potential assessments and location evaluations, Zoniq enables Charge Point Operators to make informed decisions on infrastructure deployment, maximizing their investment in EV charging networks.
Funding
$543.3K raised to dateRaised 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.
Founders
Product
Problem
Charge Point Operators (CPOs) face challenges in strategically deploying EV charging stations due to the complexity of assessing location-specific revenue potential and utilization. Inaccurate site selection leads to underutilized infrastructure and suboptimal investment returns. Evaluating numerous potential locations and predicting future demand requires extensive data analysis and specialized expertise.
Solution
Zoniq is an AI-powered location intelligence platform that provides data-driven insights to optimize the placement of public EV charging stations. By analyzing utilization data and traffic patterns, Zoniq enables CPOs to accurately evaluate the revenue potential of specific locations. The platform helps identify optimal station configurations by comparing predicted revenue for different charging powers and connector counts. Zoniq simplifies the complex process of location scouting and evaluation, allowing users to pinpoint key areas and make informed decisions about infrastructure deployment.
Target Audience
Zoniq's primary customers are Charge Point Operators (CPOs), utility providers, and governments/municipalities involved in planning and deploying public EV charging infrastructure.
Features
- Location evaluation based on coordinates to predict revenue potential, including detailed explanations.
- Location scouting to narrow down searches for optimal locations across regions or countries.
- Analysis of utilization data and traffic models to accurately evaluate potential sites.
- Prediction of utilization for all types of EV charging connectors: AC, DC, and HPC.
- Data-driven insights to optimize electrical grid balancing and prepare for V2G.