Prescinto

Prescinto uses Artificial Intelligence to identify causes of underperformance and suggest actions to improve generation in Clean Energy plants by 5 - 7%. Prescinto has been deployed across 14,000+ MWs of Solar & Wind Projects across 14 countries with marquee clients like SoftBank Energy, Macquarie and Radiance Renewables managing their Solar & Wind Assets on Prescinto. Solar & Wind Energy - while the cheapest source of Power in many countries - is not available 24 x 7. Energy Storage will change that. Prescinto is working with BESS players to enable the flattening of Clean Energy curve to accelerated our transition to renewables.

http://prescinto.ai

51-200 employees

Growth Trajectory

Prescinto has strong growth potential by expanding its market reach in Europe, developing its Monitor, Analyse, and Operate modules further, and focusing on innovation through AI-driven analytics and CMMS. The company's existing presence in 14+ countries and management of 16 GW+ assets indicates a solid foundation for continued expansion and the increasing adoption of renewable energy also support growth.

Technical Challenges

Centralizing data from varied data loggers

Solar panel degradation

Balancing planned and unplanned activities in O&M

Effective utilization of plant data

Weak module identification in battery storage systems

Ensuring data quality

Integrating diverse data loggers

Tech Stack

AISCADA systemsData loggersDeep learningCMMSDigital platformIoT

Team Size

Key Risks

Market acceptance of AI-driven APM solutions might be slower than anticipated.

Intense competition from both international and local players in the renewable energy sector.

Data quality issues from diverse assets impacting the accuracy of AI/ML algorithms.

Potential cybersecurity risks associated with consolidating data from various sources.

Regulatory changes in the renewable energy sector affecting asset management strategies.

Opportunities

Leveraging AI/ML to enhance turbine optimization and predictive maintenance.

Expanding into new geographical markets, particularly in Europe and emerging economies.

Developing partnerships with IPPs, O&M providers, and OEMs to broaden market reach.

Creating a digital twin solution for renewable energy plants.

Offering advanced data governance tools to address data quality challenges.

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