Connect with us

News

These ex-Tesla supply chain managers started an AI inventory firm

The AI venture aims to revolutionize supply chain and demand management through its software platform.

Published

on

Credit: Tesla

Two former supply chain managers at Tesla have started their own AI inventory firm, which aims to make demand and inventory planning more efficient.

Neal Suidan, Tesla’s former Senior Manager of Global Demand Planning, and Michael Rossiter, former Director of Sales Operations and Senior Manager of Business Planning, announced the launch of Atomic on Tuesday, an AI platform geared toward supply planning. The launch was made alongside the announcement of a $3 million seed funding round from former DVx Ventures, the capital fund run by former Tesla President Jon McNeill, as well as the firm Madrona.

“Planners are the unsung heroes of consumer brands, holding together supply chains through spreadsheets and sheer force of will,” Suidan wrote in a post on LinkedIn. “But they deserve better tools. We built Atomic to be the inventory planning system we always wished we had.”

“Michael and Neil experienced this pain firsthand as leaders at Tesla in the supply chain, and I saw that work first hand — because they worked for me,” McNeill said in an interview with Tech Crunch.

The former Tesla president also explains how delicate the balance between supply and demand is, while a primary part of Atomic’s approach to the software platform is giving business operators the tools to manage these factors more quickly and easily.

“If you have too much capital tied up in inventory, you could really harm the business,” McNeill adds. “And if you have too little, where you don’t have the right things in stock when the customer is ready to purchase, then you’re costing yourself big time.”

Advertisement
-

Atomic says its AI planning software has previously helped early customers cut inventory costs by between 20 and 50 percent, allowing users to easily simulate scenarios based on real-time data and scenarios.

READ MORE ON FORMER TESLA PERSONNEL: Former Tesla executive aims to raise $50 million for energy startup

Suidan worked with Tesla for nearly six years, while Rossiter was with the company for about two years. Both of the managers also worked closely with McNeill at the time.

The former Tesla president also highlighted the difficulty in ramping Model 3 production as part of the project’s inspiration, a period that Elon Musk has said brought the company weeks away from bankruptcy and had him sleeping on the Fremont factory floor.

McNeill also recalled the Model 3 production ramp in a post on LinkedIn:

Back in 2018, we had a big problem at Tesla.

Advertisement
-

We needed to scale Model 3 production from 20k to 100k cars per quarter. But the existing supply chain systems simply couldn’t handle this growth. With only a month of cash left, we had to keep the cars moving.

We were far too dependent on spreadsheets for planning. They couldn’t keep up with the business and it was having a serious negative impact.

Neal Suidan and Michael Rossiter, both leading global demand planning, created something remarkable out of necessity: a unit-level planning system that could simulate and track individual cars through the entire supply chain and match them to demand. This reduced Tesla’s inventory from 75 days to just 15, unlocking billions of dollars in working capital at a time when every dollar mattered.

Fast forward 7 years and it occurred to us that thousands of companies can use this. They are now bringing that framework to customers with Atomic.

Several former Tesla employees and executives have gone on to start their own firms, most recently including former SVP Drew Baglino, who announced the grid hardware venture Heron Power last week. Another notable one includes JB Straubel, a Tesla co-founder, who went on to start the battery recycling company Redwood Materials.

This former Tesla engineer now heads a federal tech department

Advertisement
-

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Advertisement
Comments

Energy

Taiwan power firm bets big on Tesla Megapacks as AI data center thirst grows

Taiwan’s Apollo Power orders 260 Tesla Megapacks, betting AI data centers will need more electricity.

Published

on

By

Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan
Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan

A Taiwanese power company has ordered 260 Tesla Megapack 2XL units, roughly 1GWh of storage, betting that electricity rather than chips will decide how fast AI data centers come online. Apollo Power signed the contract with Tesla’s Taiwan energy arm on October 8, according to the company’s filing with the Taiwan stock exchange.

The filing says the units are meant for behind the meter storage and resilient grid projects, with delivery in batches from the end of 2027 and sites operating in 2028. Apollo and Tesla did not disclose a price, citing a confidentiality agreement. Apollo plans to pay for the equipment through a cash capital increase and bank financing, and it noted the purchase is not revenue and does not mean it holds firm orders from its partners.

Biggo reported that only about 33 units are under signed customer contracts, with roughly 150 more in negotiation. The same report put total project investment near NT$130 billion, but that figure includes installation work, with the equipment itself making up about 40 to 50 percent. In other words, a large share of this order is Apollo reserving supply ahead of demand. Apollo’s chairman told local media global large storage supply is tight, which is why the company locked in the units early, according to Yahoo Taiwan Finance.

Tesla Taiwan partners with Costco to sell vehicles

Apollo also launched an AI data center and grid resilience alliance with Phison, Gigabyte and Shihlin Electric. The pitch rests on a pilot at Phison’s Zhunan plant, where Apollo and Tesla Energy Taiwan installed grid forming Megapack 2XLs in June. Tesla Energy Taiwan general manager Sun Hsiao-Han said the project went from demo to 1GWh in four months, and that Tesla Energy has deployed more than 50GWh worldwide.

Taiwan’s cabinet has approved amendments that would require large energy users to install their own generation and storage, which gives enterprise storage a regulatory tailwind.

Advertisement
-

The deal fits a pattern Teslarati has tracked. Tesla’s Megablock targets 1GWh commissioned in 20 business days, a pitch aimed squarely at fast moving data center builds. Megapacks already back xAI’s Colossus in Memphis and a 400MW AI campus in Brazil. Sun Media adds that Megapack 2XL was named among the first products in Nvidia’s DSX Ready qualification for battery storage in AI factories.

Deliveries are more than a year away, so the real test is how much of that 260 unit order turns into signed customer contracts.

Continue Reading

Lifestyle

Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service

Published

on

By

Concept art of a Tesla Cybercab in Las Vegas Strip as rendered via Grok

For a century, the car has asked the same thing of its owner, which is basically to pay attention. Even the best ride-hailing app like Uber or Lyft only moved the problem into someone else’s hands. You stopped driving, but you still sat in a stranger’s car, while half listening, and wondering whether to take a phone call in the car without being rude. The Cybercab has no wheel, no pedals and no driver. With Grok @bot now live inside it, it becomes something else entirely, and I think that matters more than the fleet count that everyone is tracking.

Grok @bot is an agent, not a voice assistant. A rider signs in once, and from then on can say what they need and watch it happen. Order dinner from a favorite restaurant. Fill the grocery cart. Move money, answer email, adjust a calendar, push a work project forward. Tesla engineer Yun-Ta Tsai confirmed it is enabled across every Cybercab and the rest of the Model Y fleet, and Tesla’s own pitch is that Full Self-Driving handles the commute while Grok handles the errands.

Think about what that does to a thirty minute ride. Uber sells you a trip, while Waymo sells you the same trip in a more private setting. Tesla is selling the thirty minutes themselves, returned to you with an assistant attached. Errands that used to eat a Saturday get done between pickup and drop off. The ride stops being dead time between two places and becomes a place of its own.

Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant

Best of all, your Bots follow you into any Cybercab, and presumably your own Tesla, then logs you out automatically when you step out. Anyone can bolt a chatbot onto a screen, but much harder to own the vehicle, the autonomy stack and the assistant at once. It also quietly ties SpaceX’s Super Intelligence business to Tesla’s fleet, after Tesla converted its xAI stake into SpaceX equity. The relationship between those two companies is getting harder to describe as separate.

This is also where the hard questions start, because an agent that can spend your money in a vehicle other people also ride in needs some answers. How does it handle a voice it shouldn’t trust? What gets recorded, who can see it, and for how long? What happens when a rider leaves halfway through a task?

Advertisement
-

If Tesla gets those answers right, the scoreboard changes. We have been counting Cybercabs and wait times. The more telling number may be what riders accomplish per trip. That is data almost no one else will ever have, and it is the real reason to watch Grok @bot.

What do you think? Leave me a comment.

Continue Reading

News

Why Elon Musk’s target date for buying an Optimus robot is harder than it sounds

Musk says China’s magnet export ban cost Optimus months, and robot hands remain shockingly hard.

Published

on

By

Concept rendering of Tesla Optimus in mass production

Elon Musk says China’s export curbs on magnets used in electric motors set back Tesla’s Optimus program by two to three months, and that the robot’s hands remain the hardest part of the project. He made the comments Saturday during a live interview with Tesla Owners Silicon Valley at the X Takeover event at Giga Texas, in front of roughly 2,000 attendees. The Optimus discussion begins around the 49 minute mark of the stream.

On the hands, Musk was blunt and noted that a general purpose humanoid needs fine motor skills that are “incredibly difficult to get right. Shockingly difficult,” he said in the interview. He pointed to a problem he says no one has demonstrated yet: “One of the hardest things also generally is to do precision and force at the same time,” such as driving a small self tapping screw into wood. Touch sensors add another layer, since it is “actually kind of hard to get touch sensors that elastically deform and can handle high cycle life and it won’t just break after a few thousand cycles.”

He also took aim at rival robot videos. “Any complicated looking robot demo, it’s a canned demo. It’s not real,” Musk said, adding that real AI means showing a robot something it has never seen and watching it still cope, the way FSD handles a city it has never driven.

Musk expects the Optimus ramp to be slower than a new vehicle production ramp. “The initial part of that S curve of production ramp is going to be very slow at the beginning,” Musk said, partly because “unlike cars, there’s no pre existing supply chain for robot stuff.” That echoes his July reply on X that Optimus production “will be extremely slow at first, as everything is new.”

The magnet disclosure puts a number on a problem Musk first raised in 2025. He said China “prevented the export of magnets for use in electric motors” and that it “set back the Optimus program by like two or three months.” Then he added: “We had robots with no arms.” Tesla’s fix is to bring the supply chain home. “You’ve got to be able to make all the parts domestically,” he said. Teslarati reported in April 2025 that Musk tied the issue to permanent magnets in the arm actuators, where motors have to be as small as possible.

Advertisement
-

Tesla Optimus V3 hand and arm details revealed in new patents

Production is moving regardless, with a reported internal goal of more than 1,000 a week by the end of 2026. Teslarati recently covered how Tesla is certifying supply partners in China for Optimus parts, while the company’s hand design has been the subject of new patent filings.

Musk has said he wants Optimus available to the public by late 2027, though Tesla has not confirmed that date or published updated production figures.

Continue Reading