Tibo EMS
tibo.energyTibo EMS is an AI-based Energy Management System that helps organizations address complex energy challenges during the energy transition. Positioned within the Utilities Software landscape, it applies dynamic AI algorithms to react in real time to changing energy prices, weather patterns, and grid constraints, optimizing energy usage and costs in line with existing energy contracts and microeconomic principles. The platform includes a simulation environment where different energy configurations can be modeled and then directly applied for operational control, and it continuously learns from new conditions to remain aligned with future developments in the energy sector.
Using advanced analytics, Tibo EMS supports energy efficiency, cost reduction, and improved sustainability through optimized energy consumption. It offers real-time monitoring along with short- and long-term forecasting to facilitate proactive decision-making. The system also accommodates the integration of renewable sources such as solar and wind, supporting climate targets and carbon footprint reduction, and is designed to scale from small installations to large energy hubs and industrial networks. It is intended for organizations dealing with grid congestion, electrification requirements, or climate neutrality goals, including installers, Energy-as-a-Service providers, and consultants seeking to optimize and future-proof energy systems.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Tibo EMS mention score POST /v3/content_analysis/summary { "keyword": "Tibo EMS", "type": "llm_mentions", "date_from": "2025-01-01" }
