
PingThings
Big-data technology and machine-learning for physical systems.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 | round | |
N/A | N/A | Series A | |
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 78 % | - | 8 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
PingThings operates in the industrial data science sector, providing a comprehensive platform designed to handle petabyte-scale sensor data. The core product is a time series database (TSDB) built for industrial-scale deployments of high-rate sensors, capable of processing data at 1Khz. The platform offers a suite of tools for ingesting, storing, visualizing, analyzing, and applying machine learning or deep learning techniques to sensor data.
PingThings primarily serves utility companies that need to manage and analyze vast amounts of data from meters, sensors, voltage monitors, and other devices. The platform helps these companies filter out noise, derive valuable insights, and automate decision-making processes in real-time.
The business model revolves around a software-as-a-service (SaaS) approach, allowing clients to deploy the platform on any major cloud provider, including AWS GovCloud. Revenue is generated through subscription fees for access to the platform and its various analytical tools.
Keywords: time series database, high-rate sensors, utility data, machine learning, deep learning, AI, IoT, data visualization, cloud deployment, real-time analytics.