Plexflo is a patent-pending A.I.-assistant, designed for utilities to accelerate speed of in-house innovation and enhance the value of existing business analytics processes in Electric Utilities
Building customized, in-house analytics tools helps Utilities do grid modernization and energy transition experiments, trials, RFPs, projects faster, for lower costs and at lower risks - while increasing the ROI of existing investments
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Improve load forecasting & predictive asset health models by identifying pockets of electrification load growth. Refreshed every year.
Developers find sites and estimate interconnection costs with utilities. Utilities can streamline and shorten approval process, improve capital planning and hosting capacity analysis. Refreshed every year.
Develop unique applications using high-resolution satellite-imagery to find commercial solar adoption potential, asset inspections, to utility-specific AI-based vegetation management plug-ins. Customizable refreshes.
the secret of leading digital transformation
Reducing 3x costs and time in development costs while accurately predicting future load growth, DER impact for Capital Investment Planning (CIP)
Too many SaaS companies are trying to sell to Utilities today - but the best are the ones that Utilities build themselves.
Utilities must save Op Ex costs through process efficiency. One way to reduce costs is to automate cloud deployments.
Utilities work across many teams. Teams and team members get re-org'd, or they change jobs. Utilities lose a lot of intellectual capital in the process. Let's stop that .. yesterday!
Utilities need a trusted access to safely reap the benefits of OpenADR, GridLAB-D, OpenDSS and plethora of excellent AI/ML open source libraries out there.
Researchers are using Plexflo to exploring the impact of increasing hurricanes on the power grid.
Consolidate ideas and codes across peers, stakeholders, and students into a single platform to lead research projects better.
Increase the adoption potential and maturity of your idea by testing with real world data in sandboxed environment.
Plexflo gives researchers access to real-world datasets, without having to deal with NDAs with larger enterprises.
Show the developments made in grant-funded research projects with compelling dashboards and data.
This case study shows how a startup is showing the value of its battery tech to corporate partners, utility stakeholders, and investors.
Provide a clear picture of how the system will work to your early adopters and identify potential problems and issues early on.
Plexflo provides real-world data from leading Utilities for de-risking CleanTech innovations during the pre-operational phase of a project
Plexflo provides real-world data from leading Utilities for de-risking CleanTech innovations during the pre-operational phase of a project
Save time and thousands of dollars if you want to increase the value of your offering by adding data analytics or AI modules.
Plexflo's unique platform can help consultants go deeper in their research with automations to save them time and effort.
Plexflo enables consultants to make "Templates" from their workflows, that they can repeat project after project, client after client.
Consultants can increase the value they deliver to their clients by finding richer, cleaner datasets relevant to the problem they are solving.
Plexflo's Regulation-Tracker tool helps consultants keep their subject-matter-expertise up to date, and deliver trusted advice and guidance to their clients
All enterprise clients are keen to lead digital transformation. Consultants can help them get started with data product prototypes for them to test their ideas.
built for modern times
Plexflo helped build long-term forecasts for internal clients - that has been used for strategic distribution system planning, network upgrade cost calculations, and response to regulatory dockets
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Adding EV forecasts to existing CYME models has always been a challenge. This unique capability helps visualize the impacts of EV integration on existing asset health, and improve Cost-of-Service calculations
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