Tech
This startup wants to make enterprise software look more like a prompt
Every new technology creates a new environment in which we work, but it’s not clear how AI will do that. One possibility is that the interface disappears entirely.
That’s the vision of Josh Sirota, who founded the startup Eragon back in August and has just raised $12 million at a $100 million post-money valuation to build an agentic AI operating system for enterprise customers.
There’s a simple thesis: “Software is dead,” Sirota says. Buttons and dialog boxes and pull-down menus are a thing of the past, and future business will be done by prompt. Eragon is attempting to offer the whole suite of business software — your Salesforces, Snowflakes, Tableaus, and Jiras — through an LLM interface.
Sirota, who worked on go-to-market teams at Oracle and Salesforce, admits to suffering a bit of a quarter-life crisis in the lead-up to moving to San Francisco and launching Eragon with a small team from a live-work loft across the street from the Giants’ baseball park. On a recent, sunny Wednesday, the dining room table sports a bottle of Moët, several Mac minis, and a copy of the book Eragon, the Christopher Paolini fantasy novel that gave the company its name — in the tradition of Palantir and Anduril, which also borrowed from fictional worlds.
Sirota’s experience implementing the world’s premier corporate software convinced investors of his “founder-market fit.” His backers include Arielle Zuckerberg at Long Journey Ventures, Soma Capital, Axiom Partners, and strategic angels Mike Knoop and Elias Torres.
“We see enormous potential for Eragon to become the connective tissue for how modern teams operate and make decisions,” Axiom’s Sandhya Venkatachalam said. Eragon’s technical talent includes Rishabh Tiwari, a Berkeley computer science PhD student, and Vin Agarwal, an MIT PhD; together, they’re building out the company’s tech stack.
At Eragon’s customer center of excellence — a battered white sofa — Sirota shows how the company eats its own dog food. Eragon post-trains open source models like Qwen and Kimi on customer datasets, and links to company email accounts and other resources. When Sirota wants bring on a new customer — he demonstrates with Dedalus Labs, which is adopting the tool this week — he asks in a natural language prompt, and the software automatically assigns each new user credentials, spins up a new Eragon instance in the cloud, and begins an onboarding workflow.
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Sirota expects Eragon to be the software executives ask for analysis on what deals might slip, or for steps to take to improve supply chain lead times, then assign agents to take action. Want a dashboard? Just ask Eragon to spin one up.
The demo is compelling, but it’s easy to imagine edge queries that baffle the software, or hard-to-audit failures. Sirota even uses Eragon to demonstrate automatic invoice approval — the system processes invoices as they arrive in his own inbox — which prompted this reporter to consider submitting one, just to see what would happen. (Reader, I did not.)
The security concerns raised by AI agents are big, but for now the company is trying to work out the kinks in real workplaces; Eragon is now in use in a handful of large businesses and dozens of startups. Nico Laqua, the CEO of Corgi, an insurance startup that raised $180 million after emerging from Y Combinator last year, called Eragon “the best applied AI for enterprise in the market.”
“Most of the data we have needs to remain secure and behind our own cloud,” Laqua said. “Eragon trains state-of-the-art models for us on our data and deploys it in our own environment.”
That’s central to Eragon’s pitch: A company’s data stays within its own servers and security environment, and it owns its own model weights — the underlying parameters that define how an AI behaves. Sirota expects models trained on years or decades of corporate data will become valuable assets in themselves. And while frontier labs may have the most capable models, as long as companies must access them via API and without owning their configurations, Sirota believes Eragon will have an advantage in the marketplace.
He compares the evolution of AI software to the transition from mainframes to the personal computer: Frontier labs offer powerful, centralized services, but mass corporate adoption will depend on local tools for bespoke purposes. Companies will need agents and models for their specific purposes and will want to control them.
A few days later, Nvidia CEO Jensen Huang offers a similar take at GTC, Nvidia’s annual developer conference, arguing that agentic AI tools for enterprise will replace our existing approach to white-collar work: “It is no different than how Windows made it possible for us to create personal computers…every single SaaS company will become Agentic-as-a-Service.”
Huang’s comments pertain to Nvidia’s new initiative, NemoClaw, which aims to make it easier for OpenClaw agents to work within secure enterprise systems. It’s a sign both that Sirota is on to something — and that the competition from everyone from frontier labs to model wrappers will be fierce.
Sirota is undaunted, saying he expects Eragon to be a billion-dollar company by the end of the year. He knows the oft-cited MIT figure that 95% of AI corporate trials fail to catch on, but he jokes that it’s because senior executives don’t know what their employees do all day. Eragon aims to give them something they can really work with.
Tech
ElevenLabs lists BlackRock, Jamie Foxx, and Eva Longoria as new investors
Voice AI company ElevenLabs revealed new investors that are part of its $500 million Series D fundraise, which was first announced in February. The additions include institutions such as BlackRock, Wellington, D.E. Shaw, and Schroders; enterprises like Nvidia, Salesforce Ventures, Santander, KPN, and Deutsche Telekom; and individual investors such as Jamie Foxx, Eva Longoria, and Squid Game creator Hwang Dong-hyuk.
The startup also noted that it surpassed $500 million in ARR (annual recurring revenue), after ending last year with nearly $350 million in ARR. The company’s co-founder and CEO, Mati Staniszewski, said last month that ElevenLabs added $100 million in net new ARR in Q1 2026, ending the quarter at roughly $450 million in ARR.
The company has also accelerated its valuation rapidly, growing from $6.6 billion last September to $11 billion this February.
“Voice is the highest-stakes channel for any customer interaction, and the bar for quality, latency, and security is extremely high. ElevenLabs is not just a category leader – it is becoming a foundational enabler of Deutsche Telekom’s broader Industrial AI vision. From voice-as-a-service to multilingual automation and in-network AI agents, we believe the company is uniquely positioned to reshape how businesses interact with customers across all channels,” Karine Peters, managing director at Deutsche Telekom’s venture arm T.Capital, said in a statement.
In the past quarter, the voice AI company has signed enterprise contracts with the likes of Deutsche Telekom, Revolut, and Klarna.
ElevenLabs said that, besides the fundraising, it also closed a $100 million tender, a second in roughly six months after the company issued one last September. Staniszewski said in a blog post that the company will give an opportunity to retail investors to invest in ElevenLabs through Robinhood Ventures, but didn’t provide details about the program.
Staniszewski noted that consumers won’t trust systems that sound robotic or “interact strangely” and emphasized the importance of building “human-level AI voice models.” Last month, the company acquired the team from Polish voice AI startup Papla to bolster its research team.
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Tech
Kaspersky suspects Chinese hackers planted a backdoor into Daemon Tools in ‘widespread’ attack
Security researchers at Kaspersky say they have identified a malicious backdoor planted in the popular and long-running Windows disc imaging software, Daemon Tools.
The Russian cybersecurity company said on Tuesday that data collected from computers around the world running the Kaspersky antivirus software shows a “widespread” attack is under way, targeting thousands of Windows computers running Daemon Tools.
The hackers, whom Kaspersky has linked to a Chinese-language speaking group based on an analysis of the malware, used the backdoor in Daemon Tools to plant additional malware on a dozen computers across the retail, scientific and manufacturing sectors, as well as government systems. Kaspersky said the hacking of these specific computers implied a “targeted” effort.
The company said the targeted organizations are located in Russia, Belarus, and Thailand.
Kaspersky said the backdoor was first detected on April 8.
Kaspersky said it had contacted Disc Soft, the company that maintains Daemon Tools, but did not say if the developer responded or took action. Kaspersky said the supply chain attack is “still active,” suggesting that the hackers can still plant malware on thousands of computers running the disc imaging software.
This is the latest in a string of so-called “supply chain” attacks that have targeted developers of popular software in recent months. Hackers are increasingly taking aim at the accounts of developers who work on widely used code and software, and abusing that access to push malicious code to anyone who relies on the software. This approach lets the hackers break into a large number of computers at once when their malicious code is delivered as a software update.
Earlier this year, hackers associated with the Chinese government hijacked the popular text editing software Notepad++ to deliver malware to a number of organizations with interests in East Asia. Security researchers also warned of another attack last month targeting users who visited the website of CPUID, which makes the popular HWMonitor and CPU-Z tools.
TechCrunch downloaded the Windows installer from Daemon Tools’ website, and the file appeared to contain the backdoor when we checked it with the online malware scanner service VirusTotal.
It’s not known if the macOS version of Daemon Tools was compromised, or if other apps made by Disc Soft are affected.
When contacted for comment, a Disc Soft representative said they are “aware of the report and are currently investigating the situation.”
“Our team is treating this matter with the highest priority and is actively working to assess and address the issue. At this stage, we are not in a position to confirm specific details referenced in the report. However, we are taking all necessary steps to remediate any potential risks and to ensure the security of our users,” the representative said.
Do you know more about the cyberattack targeting Daemon Tools users? Did you receive an antivirus alert saying you were affected? We want to hear from you. To contact this reporter securely, reach out via Signal username zackwhittaker.1337.
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Tech
Etsy launches its app within ChatGPT as it continues its AI push
Etsy announced Tuesday the launch of its native app within ChatGPT, opening up a new way for shoppers to explore its catalog of over 100 million listings.
The new experience is designed to move beyond the limitations of traditional keyword queries. Instead of typing something like “wooden coffee table,” then scrolling and adjusting filters, users can now express what they’re looking for in natural language. For instance, “Help me find a Mother’s Day gift under $100 for my mom who loves gardening.”
Now live in beta, the feature allows users to tag @Etsy directly within a prompt. From there, the Etsy app in ChatGPT surfaces relevant product listings that users can browse, compare, and click through to Etsy for additional details or purchase.
This isn’t Etsy’s first experiment inside ChatGPT. Back in September, Etsy became an early partner in ChatGPT’s Instant Checkout integration, which let users buy products directly inside the chat interface. However, the initiative ended in March, suggesting it didn’t perform as OpenAI had hoped. It was reported that Etsy didn’t see a large volume of sales from the integration, leading Etsy to start building a native app within ChatGPT instead.
Alongside this launch, Etsy also revealed it’s testing a beta conversational search experience within its platform, specifically geared toward helping users find gifts. The gift assistant acts as a personal shopper, offering a guided, conversational way to discover ideas, narrow down preferences, and surface relevant products.
This builds on Etsy’s broader AI push, which includes an AI-powered discovery experience featuring curated collections and a suite of seller tools, including a tool that helps generate product titles and descriptions, as well as a writing assistant to help draft messages to buyers. In 2024, Etsy introduced a new “Designed” label to identify AI content, part of an effort to increase transparency as AI-generated artwork becomes more prevalent on the platform.
The news of a ChatGPT integration comes a week after Etsy reported its Q1 2026 earnings, surpassing revenue expectations with $631 million, and marketplace gross merchandise sales were up 6% year over year. Notably, active buyers increased for the first time in two years to 86.6 million. Etsy also touted 5.6 million active sellers on the platform.
In February, the company announced it was selling Depop to eBay for $1.2 billion in cash, a move aimed at doubling down on its core marketplace.
Etsy joins a growing list of companies building native apps within ChatGPT, including Angi, SeatGeek, Tubi, and Wix. Developers have been able to build apps within the chatbot since October.
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