Driving smarter interconnections and flexible grid management
Camus combines a comprehensive data fabric, AI-driven insights, and powerful applications to accelerate interconnections, streamline engineering analyses, and enable flexible operations.
Camus bridges three key gaps for integrating new loads and generation
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1. Bring grid-wide visibility to utility operators
2. Dynamically orchestrate local resources
3. Streamline planning and interconnection analyses
Protect service transformers and avoid unexpected outages by monitoring aggregated loads on upline equipment, including historical, near real-time, and forecasted loading.
Identify up to 80% of Level-2 electric vehicle charging locations with machine learning-backed analysis of meter data.
View aggregated load forecasts for any point on the grid, including transformers, reclosers, feeders, and substations. Anticipate and mitigate abnormal conditions, including backflow and overloading.
Protect distribution infrastructure and avoid premature replacement by incorporating upline equipment’s operating constraints into DER dispatch algorithms.
Provide developers with operating constraints that change based on real-time and forecasted grid conditions. Accelerate interconnections without sacrificing reliability.
Ensure third-party-controlled aggregations of DERs respect distribution-level constraints while participating in wholesale markets via dynamic operating envelopes.
Mitigate voltage deviations and avoid damage to utility equipment by monitoring and forecasting load and voltage for each feeder.
Estimate how DER adoption scenarios, including electric vehicle charging, will impact utility equipment with data-driven simulations.
Identify heavily-burdened distribution infrastructure and prioritize upgrades based on likelihood of failure and ability to avoid overloading or backfeed via DER control.
Proven technology from experts in scale
Camus is built by the experts who developed Google’s global computing platform, delivering 99.999% uptime for critical systems. Today, we apply the same proven approach to process massive volumes of grid data in real time, ensuring unparalleled reliability and scalability.
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Zero trust cybersecurity for critical infrastructure
Camus employs a zero trust cybersecurity model that authenticates each user through multi-channel mechanisms, granting access only to explicitly authorized systems. This end-to-end approach protects infrastructure better than traditional firewalls or VPNs, which focus on external threats but leave internal services vulnerable.
With Camus, utilities and developers can operate securely in a rapidly evolving grid environment.
Cross-silo data analysis by category-leading AI
Camus unifies and analyzes data from customers, utilities, DERs, and third parties, using best-in-class AI and machine learning to address today’s challenges.
From addressing delays in AMI data collection to accelerating the convergence of power flow models, our AI-derived insights transform how utilities view and manage their grid.
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Learn more about the Camus Platform
Most utilities use Camus to enhance real-time visibility of their distribution grid, streamline complex engineering analyses, enable flexible interconnections, or dispatch fleets of DERs to support the grid locally. Every utility begins by establishing a shared data foundation, with specific use cases tailored to their near-term priorities.
For developers, Camus accelerates interconnections through a flexible interconnection model. Paired with grid sensing hardware, our software forecasts constraints and dynamically adjusts local generation and loads to protect utility equipment, helping avoid delays caused by upgrade requirements.
Camus is deployed by investor-owned and public power utilities across the U.S., with our first grid-scale deployment rolling out in 2020. Our platform has orchestrated devices ranging from residential EV chargers to front-of-the-meter solar and storage systems, demonstrating unparalleled versatility. With industry-leading data integration and meter-level forecasting for millions of meters, Camus sets the standard for scale and efficiency in real-world grid operations.
Camus is first and foremost a data platform, with Grid DERMS as one of several applications. Unlike traditional DERMS, Camus focuses on forecasting grid constraints and service opportunities, translating these insights into signals for DER aggregators and site-level optimizers. For residential utility customers, we integrate with Edge DERMS partners rather than connecting directly to devices. For fleets, data centers, and large-scale distributed solar, we work with site-level optimizers, including asset management systems.
Camus supports Grid DERMS use cases, but our platform goes further. By combining real-time grid visibility, AI-powered analytics, and hyperlocal load forecasting, Camus provides a transformative data foundation that empowers utilities and developers to tackle the complexities of a rapidly evolving grid.
Camus’s AI is purpose-built for critical systems, drawing on our team’s experience building and deploying some of the world’s first AI and automation tools for critical infrastructure at Google, Meta, and Amazon. We’ve seen firsthand how important it is to build trust among operators, and we apply proven approaches to achieve it.
To tackle the 'black box' problem, Camus ties AI inferences to underlying data, ensuring users can clearly understand why a recommendation is made. For automation, we use a 'ladder of trust' approach, starting with AI observing manual actions by knowledgeable operators, then moving to recommendations with oversight, and finally to automated actions with alerting for unusual conditions.
At Camus, we take trust seriously and welcome conversations with utilities, developers, and technology partners about our approach to deploying AI for critical infrastructure.
We typically deploy the platform within 10–12 weeks of receiving data access. Once live, the platform is continuously updated via ongoing data pipelines, and new data sources can be added seamlessly over time.
To minimize the workload for your IT team, we handle the heavy lifting. Ingesting data from AMI, GIS, and SCADA systems requires as little as 5–6 hours of IT involvement. We know IT and OT teams are already stretched thin, so we work hard to minimize disruption.
For applications like flexible interconnection or DERMS, deployment timelines may extend if integration with new technology partners or additional hardware is required. Our team works closely with your stakeholders to streamline this process and ensure a smooth rollout.
We offer flexible pricing that can align with your budgeting needs, including options that allow for capitalization. Reach out for more details on how we can structure a plan that works for you.
