The power sector is facing a problem that did not seem so urgent a few years ago. Electricity demand is rising fast, while power grids often cannot add new capacity at the same speed. Artificial intelligence, data centers, electric vehicles, batteries, solar power and other new loads are all adding pressure to a system that was built for a very different world.
This change has created a new role for energy startups. Many of them are not building power plants or transmission lines. Instead, they are building software that can help utilities and large energy users get more value from the grid they already have.
This is why grid software is becoming critical.
The basic idea is simple. A grid has a limited amount of power and network capacity at any given time. Better software can help utilities see where that capacity exists, decide who can use it, move demand to better times, control batteries, manage flexible loads and connect new customers with less delay.
The need has become more urgent because of AI data centers. A September 2026 survey from National Grid Partners found that 74% of more than 130 utility innovation leaders said AI-driven data center load growth is affecting grid reliability. Nearly 80% said they had fully deployed or operationalized at least one AI application tied to large-load customer planning, such as load forecasts and capacity management.
Data centers have changed the equation
AI needs large amounts of computing power. Large computing systems need large amounts of electricity. As companies build more AI data centers, access to power has become a major limit.
The problem is not only the amount of electricity available. Location also matters. A data center may need power in a place where the local grid cannot provide enough capacity. A new transmission line, substation or other physical upgrade can take years.
This creates a gap between the speed of digital growth and the speed of physical grid expansion.
Energy software startups see an opportunity in that gap. Their goal is often to make the existing system more flexible. Instead of waiting for a large physical upgrade, software can help a utility or customer use batteries, flexible loads, local power and other resources in a smarter way.
Verse is one example. In June 2026, the company raised $54 million in a Series B led by Bessemer Venture Partners, with participation from GV, NVIDIA, Norrsken VC and others. At the same time, it launched Dispatch Intelligence, a system that uses on-site energy resources to help data centers bring power online faster. Verse says the system can help some data center projects come online up to three years faster.
The idea is important because the software does not simply ask a data center to use less power. It can use batteries and other on-site resources to reduce the amount of power the facility takes from the grid at certain times.
That can give the grid more room without forcing the data center to stop its core work.
Utilities are spending more on innovation
Utilities have traditionally been careful with new technology. That is understandable. They operate critical infrastructure, and mistakes can affect millions of people.
But the pressure has changed the pace.
The 2026 National Grid Partners survey found that 72% of utility leaders said their innovation budgets increased over the previous year. The share of utilities that partner with startups also rose to 34%, from 28% a year earlier.
This shows that utilities are not simply watching the startup market. More of them are working with young technology companies.
There is still a major problem, however. Technology adoption inside utilities can take a long time. Some 84% of survey respondents said it takes more than a year to move new technology from a pilot to a full rollout. Nearly 32% said projects can stall even after they become ready for wider use.
The survey also found that 87% of respondents see outdated regulations as a barrier. At the same time, 83% said costs linked to AI data center demand are increasingly passed to residential customers.
These figures show why grid software must prove real value. A clever product alone is not enough. Utilities need tools that can improve reliability, control costs, support safety and fit into existing systems.
The grid has become much more complex
The old power grid was easier to understand. Large power plants produced electricity, and that electricity moved through transmission and distribution networks toward homes and businesses.
The modern grid is far less simple.
A home may have solar panels, a battery, an EV charger and a smart thermostat. A factory may have solar power, storage and flexible equipment. A data center may have batteries and local generation. At the same time, power can move in different directions across the network.
This creates a huge amount of data.
The challenge is not only to collect that data. Utilities need to understand it and act on it.
Texture is building software for this exact problem. In May 2026, the company raised $12.5 million in Series A funding, led by VoLo Earth and Equal Ventures, with Lerer Hippeau and Abstract Ventures also taking part. Texture says it works with dozens of electric utilities, hardware companies and grid service firms.
Its platform brings information from different systems into one operating view. That can help utilities see asset health, detect outages, manage devices and run flexibility programs.
The reason this matters is simple. A utility may have many separate software systems, each with a different part of the picture. When those systems do not work well together, workers may spend hours finding and checking information.
A unified software layer can reduce that friction.
AI is moving into grid operations
AI is also becoming part of this new software layer.
Utilities can use AI to forecast power demand, study grid capacity and understand the effect of new customers. This becomes especially useful when demand changes quickly.
The National Grid Partners survey found that nearly 80% of utility leaders had already deployed or operationalized at least one AI tool tied to large-load customer planning.
This does not mean AI will replace utility workers. In many cases, it can help people make decisions faster by finding patterns in large amounts of data.
For example, software could help a utility study whether a new data center can connect to a local network. It could examine demand, transformer limits, nearby solar and battery assets, network conditions and other factors.
A task that once relied on many spreadsheets and manual checks can become much faster with better software.
Virtual power plants are a major opportunity
Another major area for grid startups is the virtual power plant, or VPP.
A VPP connects many small energy resources through software. These resources can include home batteries, EVs, smart thermostats and other flexible devices.
Each device may be small. Together, they can become a large grid resource.
U.S. VPP capacity reached 37.5 GW in 2025, a 13.7% rise from the previous year, according to data cited by Reuters. Major growth took place in California, Texas, New York and Massachusetts.
The attraction is clear. Instead of building a new power plant for every rise in demand, a utility can sometimes use existing batteries and flexible loads.
Reuters reported that some VPP programs can cost far less than new gas generation. One example cited in the report put the cost at about $2 million for 400 MW of VPP capacity, compared with $43 million for a gas plant. Costs vary by market and project, but the comparison shows why utilities are paying more attention to the model.
Software is the key link. Without software, it would be very difficult to control thousands or millions of separate devices as one system.
Grid capacity is becoming a software problem
Gridsight offers another view of the opportunity.
In September 2026, Gridsight raised $26 million in Series B funding led by Insight Partners, with participation from Galvanize and existing investors. The company plans to expand its AI-based capacity management platform in the United States while continuing its work in Australia.
Its focus is grid capacity.
The problem is easy to understand. Utilities need to connect data centers, EVs and distributed energy resources, but the grid has physical limits.
The answer may not always be a new line or a new substation. Better data and better control may show that existing capacity can support more demand under the right conditions.
That can save time and money.
It also changes how utilities think about the grid. Capacity is no longer just a fixed number. With better software, some capacity can become more flexible.
Software can also improve project decisions
Grid software is not limited to utility operations.
Energy developers also need better tools to decide where and how to build projects.
Gridcog raised £7 million in a Series A round in July 2026. ABB Electrification Ventures led the round, with participation from Axpo, DNV Ventures and Verbund X Ventures. Its software can model renewable power, batteries, flexible loads, grid limits, tariffs and market participation.
The company says its platform has modeled tens of thousands of renewable energy projects across every continent and serves dozens of customers.
This kind of software can replace slow spreadsheet work with faster simulations. A developer can test different project designs and see how each one may perform under different power prices, grid limits and market conditions.
That matters because energy projects are becoming more complex. A project may now include solar, batteries, flexible demand and grid services rather than one simple power source.
Data centers may become part of the solution
One of the most interesting changes is the idea that data centers do not have to remain passive power users.
Emerald AI is working on software that can make AI data centers more flexible. In August 2026, the company raised $150 million in Series A funding at a $1.05 billion valuation. The round was co-led by Energize Capital and DCVC.
Emerald AI says its system can adjust data center power use in response to grid conditions. The company estimates that this approach could unlock up to 100 GW of capacity on the existing U.S. grid for AI.
The company has completed five global demonstrations and says its software is now in commercial use at multi-megawatt data center scale. It also says 12 Fortune Global 500 companies now hold investments in the company.
The larger idea is powerful. A data center can become a flexible grid resource rather than a fixed load.
That could make it easier for a utility to serve new AI demand without placing the full burden on the existing network.
The business case is getting stronger
All these examples point to the same market change.
Energy companies need more information, faster decisions and better control. Physical infrastructure remains essential, but software can help that infrastructure work harder.
That creates several large startup markets.
One is grid capacity management. Another is utility operating software. Virtual power plants are another. Data center power management is also growing. Energy modeling, battery control and flexible demand all fit into the same wider trend.
The funding figures show that investors and large energy companies are paying attention.
Texture raised $12.5 million. Verse raised $54 million. Gridsight raised $26 million. Gridcog raised £7 million. Emerald AI raised $150 million at a $1.05 billion valuation.
These are not all the same type of company. Their products solve different problems. But they all point toward the same need: a smarter digital layer for a more complex electricity system.
The road ahead
The biggest challenge may not be technology. It may be adoption.
Utilities work with old systems, strict rules and long planning cycles. New software must fit into that environment. It must also prove that it can work safely on critical infrastructure.
That is why the 84% figure from the 2026 utility survey matters. New technology can take more than a year to move from pilot to full use.
Startups therefore need more than good software. They need strong utility partnerships, clear results and products that can work with systems already in place.
The winners in this market may not simply be companies with the most advanced AI. They may be companies that can solve a real grid problem, fit into utility operations and show a clear financial benefit.
A new layer for the energy system
The energy sector is entering a period where power demand can change faster than physical infrastructure.
AI data centers are a major part of that change, but they are not the only reason. EVs, batteries, solar power, heat pumps and other electric technologies are also changing how people produce and use electricity.
This makes the grid harder to manage.
Software can help turn that complexity into something utilities can understand and control.
The goal is not to replace power plants, transmission lines or substations. The goal is to make better use of them.
That is the central reason grid software is becoming critical.
The next phase of the energy transition may depend not only on how much new power the world can build, but also on how intelligently it can use the power and grid capacity it already has. In that sense, energy software is moving from the background to the center of the electricity market.
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