Headlight Telesto vs. BrightAI

The Telesto™ software is designed to process data from multiple sensors, resulting in the creation of intricate 3D point clouds alongside high-resolution images and videos. This information is readily available via the Telesto data platform, which can be accessed through any web browser, allowing users to obtain their data conveniently, whether they are in the office, working remotely, or collecting new survey information in the field. By utilizing this software, users can start to build 4D models that incorporate dimensions of space and time, enabling them to track defects in their assets over extended periods and enhance predictive maintenance efforts. The platform is user-friendly, allowing for data analysis where users can incorporate annotations and measurements as necessary. Additionally, Telesto™ minimizes the requirement for personnel to enter hazardous confined spaces like sewers and culverts, thereby significantly improving operational safety. Thanks to Telesto™'s reliable Wi-Fi connectivity, devices can seamlessly connect for efficient data transfers and visualizations, optimizing the workflow for all users. This strong connectivity feature also promotes real-time collaboration among team members, enriching the data's usefulness across various applications and ensuring that everyone remains informed and engaged in the process. Ultimately, Telesto™ is a powerful tool that not only enhances data accessibility but also fosters a safer working environment.

BrightAI is a Physical AI and infrastructure intelligence platform designed to give operators continuous visibility into equipment, facilities, and other distributed physical assets. Its Stateful Platform combines data collection, observability, AI models, decision-making, and operational workflows into a single system for managing physical infrastructure. The platform gathers information from sensors, autonomous inspection systems, wearables, connected equipment, and other real-world data sources. BrightAI's observability toolkit includes Stateful Stickers for asset monitoring, autonomous inspection technologies, Stateful Wearables for field environments, and foundation models trained to interpret physical-world conditions. These systems can evaluate acoustic, visual, thermal, vibration, and other sensor signals to detect degradation patterns, defects, leaks, and abnormal operating conditions. In water infrastructure, BrightAI can use sound and vision analysis to detect pipe wall thinning and other conditions associated with potential failures. Electric utility applications include drone-based and edge-AI inspections for defects such as damaged insulators, thermal events, decay, and structural problems. Oil and gas operators can monitor compressors and other equipment using vibration, thermal, audio, and visual signals to identify early signs of performance degradation. BrightAI also supports applications in pest control, manufacturing, and construction, including automated species identification, contamination monitoring, machine-condition analysis, and production-line inspection. By automating portions of physical inspection and routing workers toward issues that require attention, the platform is designed to improve uptime, reduce unnecessary field work, increase worker safety, and support more efficient use of energy and resources.