Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in the energy industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 4 promising Asset Management solutions.
Heat Map: 4 Top Asset Management Startups
For our 4 picks of Asset Management startups, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 4 interesting examples out of 200 highly relevant Asset Management solutions for the energy sector. Depending on your specific needs, your top 4 picks might look entirely different.
Enersis – Advanced Analytics
Advanced data analytics offer a lot of applications for asset management in the energy industry. They can be used for asset planning, identification of unusual behavior of equipment, workforce capacity management, emergency planning, and predictive maintenance. Swiss startup Enersis provides a Visual Energy Analytics solution, which identifies and visualizes data for asset investment decisions in the distribution network. This digitalization creates economies of scale and improves network planning.
Clevest – Asset & Workforce Management Software
This section includes software solutions for planning, performance optimization, real-time control, and management of power generation and distributing assets — for both workforce management and field operations automation. Canadian startup Clevest provides utilities with software for mobile workforce management. The company specializes in optimizing utility field operations, automating field activities and processes to improve safety and improve response time.
CyberX – Cybersecurity
The rapid adoption of the Internet of Things (IoT) and Smart Grid technologies in the energy industry has caused an increased decentralization and interconnection of grid network elements. Now, more than ever, critically important energy and utility infrastructures are at risk for cyber attacks. Responding to this threat, startups develop a range of cybersecurity solutions. UK-based CyberX, for example, creates an industrial cybersecurity platform for continuous, non-invasive risk assessment and machine-to-machine (M2M) anomaly detection. Their platform helps enterprises to detect and respond faster to risks in their industrial networks.
Ecolibrium Energy – Predictive Maintenance
The predictive maintenance process consists of two steps: first is the analysis of available data to predict when asset failure might occur. Second is performing asset maintenance for preventing such failures – therefore saving time, money, preventing downtime and accidents at the power plants and mines. Indian startup Ecolibrium Energy provides predictive asset intelligence for the energy industry. It helps enterprises to improve their asset efficiency with the Internet of Things (IoT)-powered predictive analytics and supports the transition from reactive to predictive maintenance. This solution is equipment independent and offers early fault detection.
What About The Other 196 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 4 Asset Management startups showcased above are promising examples out of 200 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.