DeepVolt
AI-powered analytics for profitable EV charging infrastructure.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| N/A | €100k | Seed | |
| Total Funding | 000k | ||
| EUR | 2024 | 2025 |
|---|---|---|
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
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DeepVolt is a data science company founded in 2021 by Karem Chatti, specializing in AI-driven solutions for the electric mobility sector. The firm is headquartered in Ariana, Tunisia, with a presence in Toulouse, France. It operates with the mission of accelerating the global deployment of electric vehicle (EV) charging stations by providing tools to identify optimal and profitable locations.
The company's flagship product is the DeepVolt Location Intelligence Assistant (DLIA), a web-based platform that uses AI and machine learning to analyze complex datasets. DLIA helps clients make informed decisions on where to install EV charging infrastructure by processing information such as traffic patterns, power grid capacity, points of interest, population density, and vehicle registration data. The platform provides a customizable scoring system to rank potential sites for profitability, forecasts energy consumption, and helps determine the optimal size and configuration of charging stations to maximize returns and minimize risk.
DeepVolt serves a diverse client base that includes charge point operators, municipalities, utilities, commercial property owners, and investors. The business model centers on its software platform, which is designed to be user-friendly, globally scalable, and customizable to specific investment strategies. A significant milestone for the company was a successful pilot project in Istanbul, where its technology was used to help plan the city's EV charging network. The company has received support and funding from organizations including EIT Urban Mobility, Free Electrons, and Startup Tunisia.
Keywords: EV charging infrastructure, location intelligence, AI analytics, e-mobility solutions, charge point operator tools, smart city technology, transport modeling, energy systems, machine learning, EV investment, data-driven planning, charging station profitability, power grid analysis, traffic pattern analysis, sustainable mobility, clean tech, urban mobility, predictive analytics, site selection, energy demand forecast