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Exclusive: Novoloop’s upcycled plastic takes a step closer to production | TechCrunch

Exclusive: Novoloop’s upcycled plastic takes a step closer to production | TechCrunch

Plastic recycling startup Novoloop has inked a deal with a major manufacturer to produce its upcycled thermoplastic polyurethane at commercial scale, TechCrunch has exclusively learned.

The agreement helps nudge the Menlo Park-based Novoloop through the so-called “valley of death” that many climate tech startups must slog through. 

Startups that depend on hardware are particularly susceptible to stumbling in the valley, the dreaded moment when they’ve proven their initial technology and have not generated sufficient revenues from selling their product.

Under the terms of the deal, Novoloop will supply Huide Science and Technology with a chemical building block used to make thermoplastic polyurethane. Novoloop makes the material, known as a polyol, from post-consumer polyethylene waste like plastic bags, one of the hardest materials to recycle.

Thermoplastic polyurethanes, or TPU, are a type of plastic that’s used in everything from running shoes to medical devices. 

“For this product line, we have essentially achieved what would be the commercial relationship,” Novoloop co-founder and CEO Miranda Wang told TechCrunch.

At this point, Novoloop is constrained in its ability to supply polyols, Wang said. Earlier this year in India, the startup commissioned its demonstration plant, which is capable of producing tens of tons of the material per year.

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The demonstration plant’s capacity is sufficient to produce enough TPU for “major pilot projects,” Wang said, including one for a footwear customer that will be announced in the coming months. Previously, Novoloop supplied Swiss shoe manufacturer On with its Lifecycled material for the tread of its Cloudprime sneaker.

Deals like the one with Huide will be key for the Novoloop’s progress, Wang said. “The biggest hurdle to profitability is economies of scale,” she said. “A lot of the focus next year will be driving a lot of these customer deals to close so that we can finance the [commercial-scale] facilities.”

Once the deals and financing fall into place, Novoloop expects to have its commercial plant up and running in early 2028, Wang said. The first version should be able to supply enough polyols to produce about 16,000 tons of TPU annually.

“When we can run the materials at those types of volumes, we expect to be able to be at price parity with virgin TPUs,” she said.

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#Exclusive #Novoloops #upcycled #plastic #takes #step #closer #production #TechCrunch

In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.

#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation">Zoox can now charge for rides in its steering-wheel-free robotaxisZoox just got permission to charge for robotaxi rides in its boxy, steering-wheel-less vehicles. On Thursday, the National Highway Traffic Safety Administration announced it has granted the Amazon-owned Zoox a temporary exemption, allowing it to deploy up to 2,500 vehicles annually over the next two years, as reported earlier by Reuters.In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation

announced it has granted the Amazon-owned Zoox a temporary exemption, allowing it to deploy up to 2,500 vehicles annually over the next two years, as reported earlier by Reuters.

In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.

#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation">Zoox can now charge for rides in its steering-wheel-free robotaxis

Zoox just got permission to charge for robotaxi rides in its boxy, steering-wheel-less vehicles. On Thursday, the National Highway Traffic Safety Administration announced it has granted the Amazon-owned Zoox a temporary exemption, allowing it to deploy up to 2,500 vehicles annually over the next two years, as reported earlier by Reuters.

In its decision, the NHTSA says it determined that Zoox robotaxis “have an equivalent or greater level of motor vehicle safety” compared to vehicles compliant with federal vehicle safety standards. Under the exemption, Zoox will be subject to “an enhanced oversight condition” that “may update and expand” as the company’s self-driving technology evolves. Zoox issued a software recall for its vehicles earlier this month over concerns that they may not detect smoke.

#Zoox #charge #rides #steeringwheelfree #robotaxisAmazon,Autonomous Cars,Electric Cars,News,Tech,Transportation
Microsoft is in a unique position as AI overtakes the tech industry. It’s one of the world’s largest cloud providers and software-as-a-service companies, while also holding valuable stakes in the two biggest AI labs, OpenAI and Anthropic.

Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with $90 billion in revenue and net income of $35.8 billion. For the fiscal year, which ended June 30, Microsoft reported $331.8 billion in revenue with a net income of $133.7 billion for the year.

And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.

Nadella has been preaching to enterprises to use multiple models and to stop relying on the frontier AI labs for the agentic harness/app layer.

Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.

Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.

In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.

When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.

“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”

Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today.

And he used the high-profile incident from last week as proof of his warnings.

“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”

The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.

Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.

“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.

He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”

As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.

Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Microsoft #openly #competing #OpenAI #Anthropic #TechCrunchMicrosoft">Microsoft is openly competing with OpenAI, Anthropic more than ever | TechCrunch
Microsoft is in a unique position as AI overtakes the tech industry. It’s one of the world’s largest cloud providers and software-as-a-service companies, while also holding  valuable stakes in the two biggest AI labs, OpenAI and Anthropic.

Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with  billion in revenue and net income of .8 billion. For the fiscal year, which ended June 30, Microsoft reported 1.8 billion in revenue with a net income of 3.7 billion for the year.







And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.

Nadella has been preaching to enterprises to use multiple models and to stop relying on the frontier AI labs for the agentic harness/app layer.

Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.

Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.

In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.


When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.

“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”

Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today. 







And he used the high-profile incident from last week as proof of his warnings.

“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”

The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.

Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.  

“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.

He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”

As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.

Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Microsoft #openly #competing #OpenAI #Anthropic #TechCrunchMicrosoft

valuable stakes in the two biggest AI labs, OpenAI and Anthropic.

Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with $90 billion in revenue and net income of $35.8 billion. For the fiscal year, which ended June 30, Microsoft reported $331.8 billion in revenue with a net income of $133.7 billion for the year.

And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.

Nadella has been preaching to enterprises to use multiple models and to stop relying on the frontier AI labs for the agentic harness/app layer.

Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.

Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.

In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.

When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.

“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”

Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today.

And he used the high-profile incident from last week as proof of his warnings.

“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”

The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.

Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.

“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.

He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”

As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.

Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Microsoft #openly #competing #OpenAI #Anthropic #TechCrunchMicrosoft">Microsoft is openly competing with OpenAI, Anthropic more than ever | TechCrunch

Microsoft is in a unique position as AI overtakes the tech industry. It’s one of the world’s largest cloud providers and software-as-a-service companies, while also holding valuable stakes in the two biggest AI labs, OpenAI and Anthropic.

Those incentives are starting to clash as Microsoft posts blockbuster financial results. The company just reported an extremely profitable quarter with $90 billion in revenue and net income of $35.8 billion. For the fiscal year, which ended June 30, Microsoft reported $331.8 billion in revenue with a net income of $133.7 billion for the year.

And CEO Satya Nadella is not about to let the trajectory of Anthropic and OpenAI — which are expanding into applications and agentic infrastructure that could ultimately let them own customer relationships — derail that kind of cash.

Nadella has been preaching to enterprises to use multiple models and to stop relying on the frontier AI labs for the agentic harness/app layer.

Doing so is dangerous, he’s been saying, because it requires companies to share too many of their internal secrets with model makers of dubious trustworthiness. He knows his customers. Enterprise IT fears both data leaks and being locked into a vendor.

Now he has openly told Wall Street analysts during the company’s quarterly conference call Wednesday that this is an opportunity for Microsoft to sell customers its own homegrown models, alongside agents, AI security and more, while promising lower costs.

In other words, he’s pitching Microsoft as an alternative to many of the upscale services that OpenAI and Anthropic are developing for their own growth.

When UBS analyst Karl Keirstead specifically asked Nadella to weigh in on the open vs. closed-sourced debate roiling the AI industry, and how Microsoft will benefit from it, Nadella came out swinging.

“The goal is to have the firm be in control of their own destiny,” the CEO said of enterprises. “We are very, very clear about the architectural sort of design of the platform, which is you got to keep your harness separate from the model … that means any model at any given time is swappable.”

Microsoft, of course, sells a menu of harnesses (aka AI agents), too, under the Copilot name, including its coding agent GitHub Copilot. Coding agents are where much of the AI dollars are being spent today.

And he used the high-profile incident from last week as proof of his warnings.

“If you look even at the Hugging Face incident, the biggest thing that we should take away from that is you can’t sort of depend on any one model,” Nadella said. “You will maybe need multiple models to even remediate some challenges that get caused by one model. Like that’s the way to think about it, right? Which is you can’t be subject to a refusal of one model.”

The incident involved an unreleased model from OpenAI breaking out of its sandbox and successfully mounting a full-scale hack on Hugging Face, all in pursuit of besting a benchmark. Trying to understand what happened, Hugging Face at first tried to use a private frontier model (which it hasn’t named) that refused to help it. So it turned to the Chinese open-source model Z.ai GLM 5.2 to analyze logs and defend its infrastructure. The incident has so shocked the industry that even Sam Altman is now saying that maybe AI development should slow down a bit.

Nadella also made clear that Microsoft is happily selling its own homegrown models, the MAI family, on its own homegrown AI chips, Maya, and pitching them as cheaper alternatives.

“Every customer wants the right model for each task based on quality, latency, cost, and compliance. We offer the broadest model catalog in the cloud with over 11,000 models, including the leads from OpenAI, Anthropic, Mistral, xAI, as well as our own MAI family,” he said.

He added: “We’re also accelerating our own model development. We announced more than a dozen new models across image, voice, transcription, coding, security, including our first reasoning model, MAI thinking one, all with cost-efficient inference at the core for the enterprise use cases. We are co-designing these models with our silicon, and we are seeing 40% better performance per watt when running MAI models on Maya 200.”

As for Mythos? Nadella pointed to Microsoft’s new Mythos competitor announced earlier this week, MAI Cyber One Flash. It “achieves better performance than the much larger Mythos model, but at half the cost when combined with our multi-agent security harness,” he said.

Sure, the Microsoft CEO says that enterprises should use the frontier models that OpenAI and Anthropic offer in their mix. But his bigger message is: don’t trust them enough to rely on them.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Microsoft #openly #competing #OpenAI #Anthropic #TechCrunchMicrosoft

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