Single Asset View

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A diagram of square boxes representing data components entering a box named Senpilot data ingestor

Data requests in seconds not weeks

Asset data on autopilot with single view

Have the latest asset data, all in one place. Supplement with inspection reports, LIDAR, images, and more. Senpilot is the ultimate asset registry.

Integrates with all GIS, SCADA, AMDS systems

Allows for all forms of data

Let AI cleanup and manage data

Automatic AI-driven data organization, stitching, and cleanup.

Automated extraction, load, transformation (ELT)

Plug gaps with data audits

Create actionable reports to help teams plug the most important data gaps, down to the individual asset level. Senpilot scores asset data based on fields used in various scoring systems.

Prioritize and score data gaps based on scoring formulas

Audit GIS system for critical gaps

A line chart of data quality going upwards from a D to an A rating

Keep it all synced

Stop wasting engineering hours keeping data synced. Senpilot can sync with any GIS system and tunnel read-only SCADA and historian data for additional functionality.

Logos in bubbles from Oracle ESRI ArcGIS GIS Microsoft Excel Sharepoint Historian SCADA ADMS Survalent Schneider

Asset Management with AI

20x

Faster asset analysis

18%

Longer asset lifecycles

1,200

Annual hours saved

An asset card showing a bar of health for the assetAn asset card showing a bar of the health of the assetA line chart with two lines, one for the health of the utility asset, the other for the risk of the utility asset. Both lines trending sideways.
An asset card showing a bar of health for the assetAn asset card showing a bar of the health of the assetA line chart with two lines, one for the health of the utility asset, the other for the risk of the utility asset. Both lines trending sideways.
A line chart with two lines, one for the health of the utility asset, the other for the risk of the utility asset. Both lines trending sideways.A map depicting a specific Utility asset's health versus surrounding assets benchmarkedAn asset card showing a bar of health for the asset
A line chart with two lines, one for the health of the utility asset, the other for the risk of the utility asset. Both lines trending sideways.A map depicting a specific Utility asset's health versus surrounding assets benchmarkedAn asset card showing a bar of health for the asset
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Latest research

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July 11, 2025

Foundational AI models: A practical guide for Utilities

AI continues to revolutionize the business landscape, and for utilities, effectively implementing foundation models is crucial for success. These powerful neural networks, initially trained on vast datasets, offer immense potential when tailored to an electric utility's unique operational data and challenges. This customization can be achieved through various methods: parameter-efficient tuning for quick adaptation to specific jargon, fine-tuning for mission-critical applications requiring high precision, and reinforcement learning to align AI outputs with safety and customer service protocols through continuous human feedback. Utilities can adopt AI through practical paths, such as Retrieval-Augmented Generation (RAG), for secure, context-specific answers from internal documents. This approach enables building custom solutions with pre-built tools for specialized needs, as well as comprehensive enterprise integration for real-time anomaly detection and optimized crew dispatch. Strategic AI implementation involves identifying specific pain points, selecting the appropriate customization approach, prioritizing security and privacy (including vendor certifications such as SOC 2 Type II and ISO 27001), and initiating small, manageable pilot projects that demonstrate immediate value. The goal is to achieve the right balance for a utility's objectives, ultimately leading to new levels of operational efficiency

Mike Hejmej

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June 18, 2025

Evening the playing field: AI access for all small utilities

Artificial intelligence (AI) is no longer exclusive to large utilities, despite their multi-million dollar investments. Smaller utilities, facing similar operational challenges, can now access affordable, scalable AI tools through shared AI infrastructure and services. These solutions enable them to improve predictive maintenance, optimize grid management, and enhance customer service at a fraction of the cost. By embracing partnerships with AI providers, smaller utilities can leverage these advancements to remain competitive, improve service quality, and ensure reliable energy for all communities.

Alex Peats-Bond

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April 14, 2025

Using generative AI to build key reports for utilities

In today’s fast-changing utility landscape, generative AI is no longer a nice-to-have—it’s essential for staying competitive. By transforming how reports like Asset Condition Assessments, Worst Performing Asset analyses, Executive Team Decks, and Regulatory Compliance documents are created, gen AI offers a faster, more accurate, and insight-rich alternative to manual processes. It doesn’t just automate—it enhances, using real-time data and predictive analytics to uncover trends, improve decision-making, and reduce operational costs. With benefits like increased efficiency, reduced human error, scalable data handling, and smarter resource allocation, utilities can unlock massive value by embracing AI-driven reporting. Getting started means assessing your data quality, choosing the right tools, training your team, piloting small projects, and continuously refining your approach. For utilities ready to future-proof their operations, generative AI is the key to better reporting and better results.

Pranav Yardi

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