Innowatts
AMI-enabled predictive analytics and AI-based solutions for utilities, energy retailers and smart energy communities.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor | €0.0 | round |
| investor investor investor investor | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
* | $50.0k | Grant | |
| Total Funding | 000k | ||
| USD | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 150 % | 90 % | 54 % | - | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Innowatts operates in the energy sector, providing advanced data analytics solutions specifically tailored for utilities and energy retailers. The company leverages artificial intelligence (AI) and machine learning to collect and analyze energy usage data at 15-minute intervals, offering unparalleled insights into customer behavior and energy consumption patterns. This data-driven approach enables clients to make informed decisions regarding grid maintenance, reliability, and sustainability. Innowatts' business model revolves around offering a subscription-based software-as-a-service (SaaS) platform, which generates revenue through recurring fees from its clients. The platform's core features include customer engagement tools, risk management solutions, and sustainability analytics, all designed to enhance operational efficiency and customer satisfaction. By bridging the gap between energy providers and their customers, Innowatts empowers its clients to optimize their energy strategies and improve overall service delivery.
Keywords: AI-driven, data analytics, energy sector, utilities, energy retailers, customer insights, grid maintenance, sustainability, SaaS, machine learning.