
UrsaLeo
Delivers a holistic view of assets and facilities so that people can manage everything from anywhere, anytime.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
* | N/A | $10.0m | - |
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 46 % | - | - |
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
UrsaLeo, established in 2017 by John Burton and Andy Carvin, offers a Digital Twin as a Service (DTaaS) platform. Burton, with a background as the former CEO of manufacturing software company Nulogy, and Carvin, an experienced product and user experience leader, founded the company to address the challenges of managing and visualizing large-scale operational data. The firm is headquartered in the San Francisco Bay Area.
The company's core offering is a cloud-based platform that creates detailed 3D virtual replicas of physical assets, such as factories, buildings, or infrastructure. This service primarily targets sectors like manufacturing, construction (AEC), utilities, and retail. UrsaLeo's business model is subscription-based, providing clients with ongoing access to their digital twins and the associated data analytics. Revenue is generated through these recurring subscriptions.
The platform integrates data from various sources, including IoT sensors, asset management systems, and real-time operational data, into a single, interactive 3D model. A key feature of the service is its partnership with NVIDIA, utilizing the Omniverse platform for high-fidelity visualization, which allows clients to interact with a realistic virtual representation of their facilities. This enables users to monitor operations remotely, simulate scenarios, conduct virtual training, and perform predictive maintenance analysis. By consolidating disparate data streams into a cohesive visual interface, the platform aims to provide management and operational teams with actionable insights to improve efficiency and reduce costs.
Keywords: Digital Twin, DTaaS, IoT, 3D visualization, asset management, NVIDIA Omniverse, manufacturing technology, predictive maintenance, operational intelligence, AEC technology