Kaasai Services provides an Intelligent Asset Orchestration platform that uses AI to automate and optimize energy-intensive operations. The platform monitors and forecasts vehicle and asset costs while optimizing routes and energy utilization across fleets, microgrids, and energy storage systems. This enables organizations to achieve energy efficiency, manage total cost of ownership (TCO), and track carbon emissions.
Funding
Funding not disclosed
Founders
Product
Problem
Renewable energy companies often struggle with fragmented data across various systems, making it difficult to gain a holistic view of asset performance and optimize energy production. This lack of integration hinders efficient decision-making and prevents companies from fully leveraging their assets for maximum cost savings and sustainability.
Solution
Kaasai Services LTD offers an intelligent asset orchestration platform that integrates with existing systems to provide real-time data monitoring, forecasting, and optimization for energy-intensive operations. The platform leverages AI and large language models (LLMs) to automate operational decisions, reduce manual intervention, and improve system intelligence over time. By connecting EV vehicles, batteries, charging infrastructure, and management data, Kaasai empowers decision-makers with real-time insights, streamlines operations, and enhances decision-making, ultimately reducing total cost of ownership and maximizing efficiency, resilience, and cost savings. The platform provides a unified interface for monitoring and managing diverse assets, optimizing energy flows, and tracking carbon emissions.
Target Audience
Kaasai's primary customers include fleet operators, sites with grid connections and power generation, logistics companies managing fleets and buildings, asset managers across diverse industries, charge point operators, and industrial-scale battery energy storage system operators.
Features
- Real-time tracking and predictive performance analytics across fleets and energy assets
- AI-powered monitoring and forecasting of vehicle and asset costs and savings
- Route optimization to ensure efficient navigation and minimize energy consumption
- Control of energy utilization and flow between assets, including microgrids and energy storage systems
- Automated scheduling for optimal charging and discharging of assets
- Carbon emission tracking and carbon credit management
- Customizable dashboards and detailed reporting suites
- Integration with large language models (LLMs) to automate operational decisions