Transitioning to renewable energy requires a multi-faceted approach, and power storage from sources such as solar and wind energy will play an increasingly important role in that playbook in the future. To tackle this problem, former Northvolt and Tesla workers have joined forces to focus on the scalability of battery production with the new company Peak Energy.
Peak Energy aims to mass-produce giant battery storage systems for renewable sources such as wind and solar (via CNBC). CEO and Founder Landon Mossburg formerly worked at Tesla and went on to work as an executive at Northvolt before founding Peak Energy earlier this year.
The company plans to scale a more affordable battery chemistry than the lithium-ion batteries used in Tesla’s Megapacks, instead hoping to produce large-scale battery systems with lower-density, lower-cost sodium-ion technology.
Since the company plans to mass-scale an existing product, Peak Energy President and COO Cameron Dales notes that they don’t consider the company a startup, although it only started in June. Interestingly, Peak Energy is looking to partner with a technology company specializing in battery tech, but specifically one that doesn’t yet have the ability to scale its products.
“A normal Silicon Valley startup is 10 years in the lab, come up with a better mousetrap and go to market. We’re completely the opposite,” Dales told CNBC in an interview.
The company plans to make individual sodium-ion battery cells, roughly the size of a loaf of bread, according to Dales. These cells will then be used together to make larger modules about the size of a filing cabinet. These filing cabinet modules could be deployed at solar or wind farms at volumes of 50-100 per order.
Credit: Peak Energy
With 100 blocks, Mossburg explains, the battery system is expected to be able to power as many as 62,500 homes for up to four hours.
He also thinks that the company’s battery systems could cost around half the cost of a Tesla Megapack’s $1.3 million before installation, though it’s still too early for the company to have a price on its products.
“In the battery market it turns out the rarest commodity is not the technology — there are many excellent ideas out there at academic labs and startups — but rather the ability to scale to manufacturing,” Mossburg said. “The difficulty of manufacturing scale up is one of the reasons you see so many ‘breakthrough battery technology’ announcements but very very few companies who actually reach market.”
The company has also announced a $10 million funding round led by Eclipse Ventures’ Greg Reichow, a former Tesla executive who was in charge of battery, motor and electronics manufacturing before going on to lead global manufacturing. Crucially, Dales points out to CNBC that Reichow also led the development of Tesla’s Giga Nevada battery factory with partner Panasonic, which he considers the first mass-scale battery factory in the world.
TDK Ventures, owned by Japanese multinational electronics manufacturer TDK, will also join the funding round.
“The number one issue we face as it relates to expanding renewable energy sources is storage,” Reichow said. “This problem must be solved, but the existing approaches using lithium-ion and other technologies are not yet at a price point that enables the kind of scaling that society needs across sectors.”
The U.S. Energy Information Administration forecasts battery storage capacity to increase from just 9 gigawatts last year to as much as 49 GW by 2030 before jumping to 247 GW in 2050. This projection shows demand for mass-scale battery storage will continue to grow, especially as transportation and other sectors shift toward renewable energy sources.
Peak Energy currently hopes to produce “double digit gigawatt” amounts of battery cells by 2030, set to be used for its own battery systems and other applications. According to Mossburg, building a battery factory will take between $50 million and $100 million per GW. He also says a 30 GW factory would have between 2,000 and 3,000 workers, requiring a 1-2 million square-foot space.
Mossburg has experience scaling battery production at Northvolt, founded by former Tesla Global Head of Sourcing and Supply Chain Peter Carlsson, who worked for the automaker from 2011-2015. By the time Mossburg left Northvolt, the company had grown to employ 4,000 people from just 300 only 18 months prior.
″We’re running a playbook which I and the rest of the executive team initially demonstrated and deployed at Northvolt,” Mossburg said.
Tesla Megapack powers new 196 MWh battery storage system in Europe
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
