The End of Software as We Know It? Eragon’s Bold Vision to Replace Every App with AI

In the heart of San Francisco, just across from Oracle Park, a quiet revolution is brewing in a live-work loft where the dining room table doubles as a command center. Here, 27-year-old founder Josh Sirota and his small team are betting everything on a radical idea: software is dead. The future, they believe, belongs to AI agents that understand natural language, execute complex workflows, and eliminate the need for buttons, menus, and dashboards forever.

Sirota’s startup, Eragon, has just raised $12 million at a $100 million post-money valuation to build what they’re calling an agentic AI operating system for enterprise customers. The thesis is simple but seismic: why click through Salesforce, Snowflake, Tableau, and Jira when you can just ask an AI to do it for you?

From Oracle to Eragon: A Quarter-Life Crisis with a $100M Price Tag

Before launching Eragon last August, Sirota worked on go-to-market teams at Oracle and Salesforce—giving him an insider’s view of how enterprises actually use (and struggle with) their software. That experience, combined with what he describes as a “quarter-life crisis,” led him to San Francisco to build something different.

The company’s name? Borrowed from Christopher Paolini’s fantasy novel, joining the tradition of Palantir and Anduril in pulling inspiration from fictional worlds. The team—which includes Berkeley and MIT PhDs—works from a loft where a bottle of Moët, several Mac minis, and the dog-eared novel Eragon share space on the dining room table.

Investors like Arielle Zuckerberg at Long Journey Ventures, Soma Capital, and Axiom Partners saw something special in Sirota’s “founder-market fit.” Axiom’s Sandhya Venkatachalam calls Eragon “the connective tissue for how modern teams operate and make decisions.”

The Demo That Sells Itself

At Eragon’s “customer center of excellence”—a battered white sofa—Sirota demonstrates the product by eating his own dog food. The company post-trains open-source models like Qwen and Kimi on customer datasets, then links to company email accounts and other resources.

Want to onboard a new customer? Just ask. When Sirota demonstrates with Dedalus Labs (adopting the tool this week), a natural language prompt automatically assigns credentials, spins up a new Eragon instance in the cloud, and begins an onboarding workflow. No buttons. No menus. Just results.

Executives can ask Eragon to analyze which deals might slip or how to improve supply chain lead times, then assign agents to take action. Need a dashboard? Just ask Eragon to spin one up.

The Security Question Mark

The demo is compelling, but it raises obvious questions. What happens with edge queries that baffle the software? How do you audit failures in a system that’s supposed to be invisible? Sirota even uses Eragon for automatic invoice approval—processing invoices as they arrive in his inbox—which made this reporter consider submitting a fake invoice just to see what would happen. (Reader, I didn’t.)

Security concerns loom large with AI agents that can access corporate systems. But for now, Eragon is working out the kinks in real workplaces, with the tool already in use at a handful of large businesses and dozens of startups.

Nico Laqua, CEO of Corgi (an insurance startup that raised $180 million after Y Combinator), calls Eragon “the best applied AI for enterprise in the market.” The key, he says, is that “most of the data we have needs to remain secure and behind our own cloud. Eragon trains state-of-the-art models for us on our data and deploys it in our own environment.”

Data Sovereignty: The Secret Weapon

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.

While frontier labs may have the most capable models, as long as companies must access them via API without owning their configurations, Sirota believes Eragon will have an advantage. He compares the evolution of AI software to the transition from mainframes to personal computers: frontier labs offer powerful centralized services, but mass corporate adoption will depend on local tools for bespoke purposes.

Nvidia’s CEO Just Validated the Vision

A few days after our conversation, Nvidia CEO Jensen Huang offered a strikingly similar take at GTC, Nvidia’s annual developer conference. Huang argued 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 came alongside 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 onto something—and that the competition from everyone from frontier labs to model wrappers will be fierce.

The Billion-Dollar Bet

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.

The question isn’t whether AI will transform enterprise software—that seems inevitable. The question is whether Eragon can execute its vision before the giants catch up. In a world where software is dead, the race is on to build what comes next.

Tags: Eragon, AI operating system, agentic AI, enterprise software, Josh Sirota, Salesforce killer, AI agents, natural language interface, corporate AI, software revolution, Nvidia GTC, NemoClaw, data sovereignty, AI automation, startup funding

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