When U.K. custom electric car creator RBW showed off its Roadster and GT models at Monterey Car Week this year, the vehicles stunned a lot of attendees, CEO Peter Swain recently told TechCrunch. “We had four ‘wows,’ where people would go: ‘Wow, that’s beautiful. Wow, look at the interior. Wow, is it really brand new?’ […]
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MRIs are an indispensable tool for surgeons, though the technology certainly has its limitations. Take, for instance, surgeons using the machines to guide their procedures. The current process entails putting the patient into a machine to get an image, before pulling them out to advance a needle one centimeter at a time. It’s a time-consuming […]
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Fixing the climate crisis is a vast, world-sized puzzle. But one particularly large piece of this ginormous conundrum is construction and real estate — which collectively amount for around 40% of global greenhouse gas emissions. Enter Munich-based data startup Emidat, which has built a software platform for automating the generation of validated Environmental Product Declaration […]
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Join Iliana Quiñonez, Director of North America Startups Customer Engineering, in a thought-provoking conversation with a visionary founder navigating the frontier of AI. Together, they’ll explore the pivotal growth milestones that define successful startups. This insightful discussion will uncover the transformative potential and power of AI, offering valuable insights for leaders looking to stay at […]
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The GPUs and other chips used to train AI communicate with each other inside data centers through “interconnects.” But those interconnects have limited bandwidth, which limits AI training performance. A 2022 survey found that AI developers typically struggle to use more than 25% of a GPU’s capacity. One solution could be new interconnects with much […]
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In a typical organization, finance is one of the most important functions. Yet teams are often bogged down by manual workflows. According to a survey by Paylocity, an HR software provider, 38% of finance teams spend more than a fourth of their time on manual jobs, like reviewing invoices. Matthieu Hafemeister, an ex-fintech investor at […]
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The startup’s technology is a twist on the virtual power plant concept, in which batteries are aggregated and portions of the whole are sold off to various customers.
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AI tends to make things up. That’s unappealing to just about anyone who uses it on a regular basis, but especially to businesses, for which fallacious results could hurt the bottom line. Half of workers responding to a recent survey from Salesforce say they worry answers from their company’s generative AI-powered systems are inaccurate. While […]
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The startup’s technology is a twist on the virtual power plant concept, in which batteries are aggregated and portions of the whole are sold off to various customers.
© 2024 TechCrunch. All rights reserved. For personal use only.
In October, Box unveiled a new pricing approach for the company’s generative AI features. Instead of a flat rate, the company designed a unique consumption-based model.
Each user gets 20 credits per month, good for any number of AI tasks that add up to 20 events, with each task charged a single credit. After that, people can dip into a company pool of 2,000 additional credits. If the customer surpasses that, it would be time to have a conversation with a salesperson about buying additional credits.
Box CEO Aaron Levie explained that this approach provides a way to charge based on usage with the understanding that some users would take advantage of the AI features more than others, while also accounting for the cost of using the OpenAI API, which the company is using for its underlying large language model.
Meanwhile, Microsoft has chosen a more traditional pricing model, announcing in November that it would charge $30 per user per month to use its Copilot features, over and above the cost of a normal monthly Office 365 subscription, which varies by customer.
While it became clear throughout last year that enterprise software companies would be building generative AI features, at a panel on generative AI’s impact on SaaS companies at Web Summit in November, Christine Spang, co-founder and CTO at Nylas, a communications API startup, and Manny Medina, CEO at sales enablement platform Outreach, spoke about the challenges that SaaS companies face as they implement these features.
Spang says, for starters, that in spite of the hype, generative AI is clearly a big leap forward, and software companies need to look for ways to incorporate it into their products. “I’m not going to say it’s like 10 out of 10 where the hype meets the [current] reality, but I do think there is real value there and what’s really going to make the difference is how people take the technology and connect it to other systems, other apps and sort of drive real value in different use cases with it,” she said.
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