Startup Eragon Bets on a Future Without Traditional Software

What if enterprise software didn’t rely on dashboards, buttons, or endless menus—but instead worked like a simple chat prompt? That’s the bold idea behind Eragon, a young startup aiming to reshape how businesses interact with technology in the age of AI.

Founded in August by Josh Sirota, Eragon has already raised $12 million at a $100 million valuation. Its mission is ambitious: replace traditional enterprise tools with an AI-driven system where users simply type what they need—and the system handles the rest.

Sirota’s core belief is straightforward: the era of conventional software interfaces is coming to an end. Instead of navigating platforms like Salesforce, Snowflake, Tableau, or Jira, users could soon rely entirely on natural language prompts. Ask for a report, a dashboard, or even operational changes, and the system executes it instantly.

The idea stems from Sirota’s experience working with enterprise software at Oracle and Salesforce. After what he describes as a “quarter-life reset,” he moved to San Francisco and launched Eragon with a small team. The company operates out of a modest live-work space near the city’s baseball stadium, reflecting its early-stage startup energy.

Investors were quick to back the vision. The funding round includes Long Journey Ventures, Soma Capital, Axiom Partners, and notable angel investors like Mike Knoop and Elias Torres. Their confidence largely comes from Sirota’s hands-on experience in the enterprise software world.

Under the hood, Eragon uses open-source AI models such as Qwen and Kimi, which are further trained on each company’s internal data. The system connects to tools like email and internal databases, allowing it to automate tasks across departments.

In a demo, Sirota showed how onboarding a new client works. With a simple prompt, Eragon can create user accounts, deploy a cloud instance, and kick off onboarding workflows automatically. The same system can analyze sales risks, optimize supply chains, or generate dashboards—all on request.

Still, the technology isn’t without concerns. AI systems can struggle with unusual queries, and errors can be hard to track. Even automated processes like invoice approvals raise questions about reliability and oversight.

Security is another key challenge, especially for large organizations handling sensitive data. Eragon addresses this by keeping all data within a company’s own infrastructure. Businesses also retain ownership of their AI models, including the underlying parameters that define how they function.

Early adopters seem impressed. Nico Laqua, CEO of insurance startup Corgi, called Eragon “the best applied AI for enterprise in the market,” highlighting its ability to run securely within a company’s own cloud environment.

Sirota believes that over time, AI models trained on years of internal data will become valuable assets in their own right. He compares this shift to the move from centralized mainframes to personal computers—suggesting that companies will increasingly want AI systems tailored to their specific needs, rather than relying solely on external providers.

The broader industry appears to be heading in a similar direction. At Nvidia’s recent GTC conference, CEO Jensen Huang predicted that agent-based AI tools could redefine white-collar work, much like operating systems did for personal computing.

That also means competition is heating up. From major AI labs to new startups, many players are racing to build similar systems.

Even so, Sirota remains confident. He believes Eragon could reach a billion-dollar valuation within the year. While many AI projects fail to gain traction inside companies, he argues that’s often because leaders lack visibility into daily workflows. Eragon, he says, aims to change that—by giving businesses a tool that actually works the way people think.

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