NextNRG Introduces AI-Driven Dashboard for Its Integrated Energy Ecosystem

Rhea-AI Summary

NextNRG (NASDAQ: NXXT) launched the NextNRG Dashboard, an AI-driven operating layer that unifies monitoring, control, and orchestration across generation, storage, EV charging, mobile fueling, ICE fleets, and microgrids.

The configurable platform adds real-time visibility, predictive maintenance, RenCast forecast-driven dispatch, integrated billing/analytics, and pathways for demand response and marketplace participation.

News Market Reaction – NXXT

-8.88%

25 alerts

-8.88% News Effect

-8.7% Trough in 5 hr 27 min

-$6M Valuation Impact

$63M Market Cap

1.1x Rel. Volume

On the day this news was published, NXXT declined 8.88%, reflecting a notable negative market reaction. Argus tracked a trough of -8.7% from its starting point during tracking. Our momentum scanner triggered 25 alerts that day, indicating elevated trading interest and price volatility. This price movement removed approximately $6M from the company's valuation, bringing the market cap to $63M at that time.

Data tracked by StockTitan Argus on the day of publication.

Market Reality Check

Price: $0.4497 Vol: Volume 520,050 is subdued...

low vol

$0.4497 Last Close

Volume Volume 520,050 is subdued at only 0.41x the 20-day average. low

Technical Shares at $0.4935 trade well below the $1.64 200-day MA, sitting 86.25% under the 52-week high and only 4.67% above the 52-week low.

Peers on Argus

Sector peers show mixed action: NRGV appeared in momentum scanners up 9.71%, whi...

1 Up 1 Down

Sector peers show mixed action: NRGV appeared in momentum scanners up 9.71%, while BNRG was down 5.0%. With this split and no same-day peer news, the setup looks stock-specific rather than a coordinated sector move.

Previous AI Reports

2 past events · Latest: Jan 05 (Positive)

Same Type Pattern 2 events

Date	Event	Sentiment	Move	Catalyst
Jan 05	AI platform research	Positive	-7.5%	Peer-reviewed papers validating AI grid intelligence platform components.
Mar 24	AI growth update	Positive	+6.4%	Record growth and AI-powered infrastructure scale across large customer base.

Pattern Detected

AI‑tagged announcements have produced mixed reactions, with an average next-day move of -0.54% across the last two such events.

Recent Company History

Recent AI-related news for NextNRG (NASDAQ: NXXT) has centered on validating and scaling its AI grid platform. On Jan 5, 2026 peer‑reviewed research supported core forecasting and grid security analytics modules, yet the stock fell 7.46%. On Mar 24, 2025, a broader AI and growth update, including strong mobile fueling performance, saw shares rise 6.37%. Today’s AI-driven dashboard launch extends this progression from research and platform scale toward unified, commercial energy orchestration.

Historical Comparison

-0.5% avg move · Across 2 prior AI-tagged releases, average next-day move was -0.54%. This dashboard launch continues...

AI

-0.5%

Average Historical Move AI

Across 2 prior AI-tagged releases, average next-day move was -0.54%. This dashboard launch continues the shift from validating AI tech toward integrated commercial deployment.

AI news has progressed from research validation of grid intelligence modules to record growth in AI-powered infrastructure and now to a unified operational dashboard for distributed assets.

Market Pulse Summary

The stock moved -8.9% in the session following this news. A negative reaction despite an AI-focused ...

Analysis

The stock moved -8.9% in the session following this news. A negative reaction despite an AI-focused product launch would fit a pattern where AI news has not consistently driven gains, with prior AI-tagged events averaging -0.54% next-day. Pressure could also reflect broader concerns from recent financing activity. Historically, pullbacks after positive announcements have occurred, leaving execution and adoption metrics as key future proof points.

Key Terms

distributed energy assets, microgrid, dynamic wireless charging, predictive maintenance, +4 more

8 terms

distributed energy assets technical

"monitoring and managing distributed energy assets. The configurable platform is..."

Distributed energy assets are small-scale power sources and storage devices located close to where electricity is used, such as rooftop solar panels, local batteries, small wind turbines, and microgrids. They matter to investors because they change how energy is produced and sold—reducing reliance on large power plants, creating new steady revenue streams or savings, and affecting utility demand and regulatory incentives, much like switching from a distant water tower to a neighborhood well.

microgrid technical

"internal combustion engine (ICE) fleets, and microgrid performance. As energy systems..."

A microgrid is a small, local electricity system that combines power sources (like solar panels, small generators) and storage (batteries) with controls so it can run either connected to the main utility grid or on its own during outages. For investors, microgrids matter because they reduce outage risk, can lower energy costs, enable new revenue streams (selling excess power or grid services), and reflect growing demand for resilient, decentralized energy infrastructure.

dynamic wireless charging technical

"including dynamic wireless charging for industrial equipment such as forklifts..."

Dynamic wireless charging is a technology that transfers electrical power without plugs to a moving object—like topping up a car’s battery while it drives over power-enabled road lanes. It matters to investors because it can change cost structures, create new revenue streams for infrastructure and vehicle makers, and speed adoption of electric devices; think of it as refueling on the go that reduces range anxiety and reshapes market demand and maintenance models.

predictive maintenance technical

"supports predictive maintenance workflows by identifying system anomalies, generating..."

Predictive maintenance involves using data and technology to monitor equipment or machinery in real time, identifying potential problems before they cause failures or breakdowns. By predicting when maintenance is needed, it helps prevent costly repairs and downtime. For investors, it highlights how companies can reduce expenses, improve efficiency, and maintain reliable operations, which can positively impact financial performance.

demand response programs technical

"structured to support participation in demand response programs and open energy..."

Demand response programs pay electricity users or adjust their consumption automatically to reduce power use during peak periods, helping balance supply and demand and avoid blackouts. For investors, these programs can lower operating costs for large users, create revenue streams for technology and service providers, and change utilities’ capital needs—think of it like traffic control that eases rush-hour congestion to keep the system running smoothly.

demand charge technical

"manage demand charges, charging infrastructure, and fuel procurement across..."

A demand charge is an extra fee on an electricity bill based on the highest rate of power a customer draws during a billing period, separate from charges for total energy used. It matters to investors because it can be a large, recurring operating cost for factories, data centers, or retailers: like being charged not just for how much water you use but for the single moment you had the biggest flow, so managing peak use can materially affect profitability and capital planning.

peak load mitigation technical

"optimization, and peak load mitigation strategies. By anticipating load fluctuations..."

Peak load mitigation is the set of actions and technologies used to reduce the highest slices of electricity demand during times when usage spikes, such as hot afternoons or cold mornings. Like dimming nonessential lights at a crowded party to avoid tripping the fuse, it lowers short-term energy costs, reduces strain on infrastructure, and can change revenue, operating expenses and capital needs for utilities and companies involved in energy markets.

grid interaction technical

"EV fleets, employee charging infrastructure, dynamic wireless charging..., and microgrid performance."

Grid interaction describes how a power-generating or power-using asset (like a solar farm, battery, electric vehicle charger, or factory) connects and exchanges electricity with the wider electrical network. For investors, it matters because those interactions determine revenue streams, reliability, and costs — for example whether a device can sell power back to the grid, reduce bills by shifting use, or provide services that help keep the lights on, much like how a business’s relationship with its bank affects cash flow.

AI-generated analysis. Not financial advice.

Unified Dashboard Providing Centralized Visibility, Control, and Orchestration Across Energy Generation, Storage, EV Charging, Mobile Fueling, and Grid Participation

MIAMI, FL, March 18, 2026 (GLOBE NEWSWIRE) -- NextNRG, Inc. (NASDAQ: NXXT), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today announced the NextNRG Dashboard, an AI-driven operating layer for its integrated energy ecosystem providing a unified software interface for monitoring and managing distributed energy assets. The configurable platform is tailored to the specific infrastructure, operational requirements, and energy profiles of each customer deployment. The system provides centralized visibility and management across energy generation, battery storage, fuel systems, EV fleets, employee charging infrastructure, dynamic wireless charging for industrial equipment such as forklifts and robotics, internal combustion engine (ICE) fleets, and microgrid performance.

As energy systems grow more complex, operators increasingly manage multiple energy sources simultaneously. A commercial logistics company may operate conventional fuel fleets while transitioning portions of its vehicles to electric. A cold storage facility may combine on-site energy generation, battery storage, grid power, and backup generation. A municipal operator may manage demand charges, charging infrastructure, and fuel procurement across diverse assets. Yet comprehensive visibility across these systems is often fragmented across separate portals and service providers. Integrated oversight of fleet fuel, EV charging, distributed generation, storage, and grid interaction remains rarely available within a single unified platform. As energy portfolios expand, this fragmentation constrains both operational clarity and financial transparency.

“Energy management can no longer exist in silos,” said Michael D. Farkas, Executive Chairman and CEO of NextNRG. “Customers managing fleets, facilities, and distributed energy assets need a unified view across fuel, electricity, storage, and grid interaction. The NextNRG Dashboard is designed to deliver that single source of truth. No other platform today combines this breadth of capabilities within one integrated interface.”

The NextNRG Dashboard unifies these systems within a single operational interface, providing customers with:

• Real-time monitoring of energy generation and battery state-of-charge
• Microgrid controller performance and grid interaction visibility
• Integrated billing, reporting, and performance analytics
• Demand charge monitoring and energy cost optimization insights
• ICE fleet fuel consumption tracking, state-of-fuel monitoring, and refueling coordination
• EV fleet and employee charging management, including dynamic wireless charging for industrial equipment
• Generator fuel level tracking, state-of-fuel monitoring, and maintenance alerts

Beyond monitoring and reporting, the NextNRG Dashboard functions as an operational coordination layer across distributed energy assets. The platform supports predictive maintenance workflows by identifying system anomalies, generating service alerts, and routing maintenance tickets to the appropriate operators or service providers for review and resolution. For fleet operators, the system also provides integrated oversight of fuel and charging infrastructure, tracking conventional fuel consumption patterns, monitoring EV charging demand and load impact, coordinating refueling and charging schedules, and aligning fleet energy demand with broader facility-level energy optimization strategies. By bringing EV fleets, ICE fleets, energy generation, storage capacity, and grid interaction into a single interface, the platform aligns mobile and stationary energy assets within one operational framework.

The platform integrates NextNRG’s RenCast forecasting engine, embedding predictive weather intelligence directly into energy dispatch modeling. Forecast-driven analytics inform storage allocation decisions, grid draw optimization, and peak load mitigation strategies. By anticipating load fluctuations and environmental conditions, the system enables proactive operational control rather than reactive energy management.

These operational insights translate directly into financial performance visibility. Customers can visualize energy cost savings relative to utility-only consumption models, analyze peak demand exposure, review historical versus projected demand charge impacts, and evaluate how storage dispatch and fleet charging decisions influence overall cost structures. By consolidating generation data, storage activity, and load behavior into a unified analytics layer, the dashboard makes the financial impact of energy decisions measurable and visible.

In addition, the NextNRG Dashboard architecture is structured to support participation in demand response programs and open energy marketplace opportunities where applicable. By integrating grid participation pathways within the same platform used for operational and financial oversight, the system enables customers to evaluate revenue-generating opportunities alongside cost optimization strategies within one unified environment.

The NextNRG Dashboard represents a key component of the company’s strategy to unify energy generation, storage, mobility, and grid interaction within a single intelligent operating environment.

About NextNRG, Inc.

NextNRG Inc. (NextNRG) is Powering What's Next by integrating artificial intelligence (AI) and machine learning (ML) into utility infrastructure, battery storage, wireless EV in-motion charging, renewable energy and mobile fuel delivery, to create a unified platform for modern energy management.

At the core of its strategy is the Next Utility Operating System®, which uses AI to optimize both new and existing infrastructure across microgrids, utilities, and fleet operations. NextNRG's smart microgrids serve commercial, healthcare, educational, tribal, and government sites delivering cost savings, reliability, and decarbonization. The company also operates one of the nation's largest on-demand fueling fleets and is advancing wireless charging to support fleet electrification.

To learn more, visit www.nextnrg.com.

Forward-Looking Statements

This press release includes forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Any statement describing NextNRG's goals, expectations, financial or other projections, intentions, or beliefs is a forward-looking statement and should be considered an at-risk statement. Words such as "expect," "intends," "will," and similar expressions are intended to identify forward-looking statements. Such statements are subject to certain risks and uncertainties, including, but not limited to, those related to NextNRG's business and macroeconomic and geopolitical events. These and other risks are described in NextNRG's filings with the Securities and Exchange Commission from time to time. NextNRG's forward-looking statements involve assumptions that, if they never materialize or prove correct, could cause its results to differ materially from those expressed or implied by such forward-looking statements. Although NextNRG's forward-looking statements reflect the good faith judgment of its management, these statements are based only on facts and factors currently known by NextNRG. Except as required by law, NextNRG undertakes no obligation to update any forward-looking statements for any reason. As a result, you are cautioned not to rely on these forward-looking statements.

Investor Relations Contact
NextNRG, Inc.
Sharon Cohen
SCohen@nextnrg.com

FAQ

What is the NextNRG Dashboard announced March 18, 2026 by NXXT?

The NextNRG Dashboard is an AI-driven operating layer for integrated energy assets, providing a unified interface for monitoring and control. According to NextNRG, it centralizes visibility across generation, storage, EV charging, mobile fueling, ICE fleets, and microgrid operations to simplify management and reporting.

How does the NextNRG Dashboard use forecasting to optimize energy dispatch for NXXT customers?

The dashboard embeds RenCast predictive weather intelligence to inform dispatch and storage allocation decisions. According to NextNRG, forecast-driven analytics help anticipate load changes, optimize grid draw, and mitigate peak demand through proactive operational control rather than reactive adjustments.

What operational features does NextNRG say the Dashboard provides for fleet and facility managers (NXXT)?

The platform offers real-time monitoring, ICE fuel tracking, EV charging coordination, dynamic wireless charging, and maintenance ticketing. According to NextNRG, it aligns fuel and charging schedules with facility optimization, while routing service alerts and predictive maintenance workflows to operators or providers.

Can the NextNRG Dashboard support participation in demand response and energy marketplaces for NXXT clients?

Yes. The Dashboard is structured to support demand response programs and open marketplace pathways alongside operational controls. According to NextNRG, customers can evaluate revenue opportunities and cost-optimization strategies within the same unified interface used for monitoring and analytics.

What financial visibility does NextNRG claim the Dashboard delivers for energy cost management (NXXT)?

The Dashboard visualizes energy cost savings versus utility-only models, demand charge exposure, and storage/charging impacts on costs. According to NextNRG, consolidated generation, storage, and load analytics make the financial effects of energy decisions measurable and easier to review.