It may seem like a paradox to have virtualized Kubernetes clusters.
Loft Labs saw a similar problem with resource utilization in Kubernetes clusters that VMware saw with server utilization, and has built a virtualization tool to make them more efficient by sharing common underlying applications.
Loft Labs lets users share these common applications with multiple virtual clusters in the same way that VMs share server resources.
“We’re essentially turning many clusters into one cluster, and then have virtual clusters on top of the common applications,” CEO Lukas Gentele told TechCrunch.
And the thing that we learned was the problem of sharing Kubernetes clusters, isolating tenants in the cluster and how hard it is.
It is, after all, a lot easier to generate press for robots that look and move like humans.
For a while now, Collaborative Robotics founder Brad Porter has eschewed robots that look like people.
As the two-year-old startup’s name implies, Collaborative Robotics (Cobot for short) is interested in the ways in which humans and robots will collaborate, moving forward.
When his run with the company ended in summer 2020, he was leading the retail giant’s industrial robotics team.
AI will, naturally, be foundational to the company’s promise of “human problem solving,” while the move away from the humanoid form factor is a bid, in part, to reduce the cost of entry for deploying these systems.
“Thoras essentially integrates alongside a cloud-based service and it consistently monitors the usage of that service,” company CEO Nilo Rahmani told TechCrunch.
They launched the company right after the first of the year and closed their pre-seed funding just a few weeks ago.
In terms of AI, the company currently uses more task-based machine learning than generative AI and large language models (LLMs).
“A lot of the problems that we’re facing are systemic issues, and there are a lot of numbers involved.
They see LLMs being more useful in troubleshooting after the fact at some point as they fill out the product.
AI is a data problem.
Now Cyera is raising up to $300M on a $1.5B valuation to secure itA cybersecurity startup called Cyera is betting that the next big challenge in enterprise data protection will be AI, and it’s raising a big round of funding as demand picks up for it.
Previous to this, Cyera — pronounced “Sierra” and headquartered in San Mateo and with roots in Israel — had raised a total of $160 million with its current $500 million valuation dating from last year.
Cyera, Coatue and Sequoia declined comment.
A source said that AI right now is a “huge driver” for business at Cyera.
The left-hand side of the slide has too much info (why are funding, product and customers on the team slide?)
Three things that Protecto could have improvedPitch deck design isn’t usually that important, but the design of this deck is particularly bad.
These case studies aren’t case studiesIn a 14-slide deck, Protecto wastes slide 4 as an interstitial (it just says “our platform”).
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Troubled EV startup Faraday Future has issued its first recall, covering all 11 vehicles it built last year, as it fights to hold onto its Los Angeles headquarters.
The recall centers around a problem with the warning light for the airbags in Faraday Future’s FF91 SUV.
Faraday Future says it will “schedule concierge pick up, and redelivery, of the owners’ vehicles” to fix the software.
The landlord of its LA headquarters is trying to evict the startup after Faraday missed multiple lease payments.
Still, it is remarkable that after nearly 10 years and close to $4 billion in losses, Faraday Future has even made it to the point that it needs to issue a recall at all.
Well, if you ask Garrett Hamilton, they should give Reach Security a whirl.
Instead of serving as just another layer in a company’s cybersecurity stack, Reach connects to a company’s existing IT and security products, collecting data on attacks and recommending ways to combat them using security tools that the company already owns.
They’re wrong.”Prior to Reach, Hamilton worked at Palo Alto Networks, where he was director of product management.
A survey from security posture management vendor Panaseer found that organizations manage on average between 64 to 76 security tools (as of 2022).
Reach also auto-tunes security tool configurations to try to prevent attacks, prioritizing actions based on how the attacks are being carried out.
AI-powered video generation is a hot market on the back of OpenAI’s releasing Sora model last month.
Two Deepmind alums Yishu Miao and Ziyu Wang have publicly released their video generation tool Haiper with its own AI model underneath.
Video generation serviceUsers can go to Haiper’s site and start generating videos for free by typing in text prompts.
He noted that it is “too early” in the startup’s journey to think about building a subscription product around video generation.
While investors are looking to invest in AI-powered video generation startups, they also think the technology still has a lot of room for improvement.
That’s where Codified, an early stage startup that was nurtured last year inside venture capital firm Madrona Ventures, comes into the picture.
The company was built from the ground up from a data veteran with an eye toward solving the data compliance problem, and today it announced a $4 million seed round.
Company founder and CEO Yatharth Gupta sees that data is at the center of today’s technology, yet companies struggle to control access to it.
Both jobs, he says, were heavily involved in data and he saw the kinds of problems he’s trying to solve with Codified.
Investors in today’s round include Vine Ventures, Soma Capital and Madrona Venture Labs where Codified incubated last year.
One of the challenges for alternative proteins, particularly plant-based, is developing a product that mimics the taste of traditional meat.
The company is making “hybrid meat, dairy and eggs” it says, by combining traditional animal proteins with plant-based ingredients.
“We use our meat proteins, oils, water and spices to get to our formulation, and that allows us to create a clean-label product,” Even told TechCrunch.
Our meat proteins cook in the same manner, the same temperature range, etc.
Signed contractsAt two years old, Ingrediome is still pretty early, and it will be at least two more years before it can manufacturer enough product to sell to traditional meat companies.
