Startup Reimagines Enterprise Software as a Prompt

The emergence of new technologies consistently redefines our professional landscape, yet the specific trajectory for artificial intelligence remains uncertain. One compelling hypothesis suggests AI could lead to the complete dissolution of traditional user interfaces.

This transformative vision is championed by Josh Sirota, founder of the startup Eragon. Launched in August, the company recently secured $12 million in funding, achieving a $100 million post-money valuation, to develop an agentic AI operating system tailored for enterprise clients.

Sirota articulates a clear thesis: "Software is dead." He contends that conventional interfaces—characterized by buttons, dialog boxes, and dropdown menus—are relics of the past, with future business interactions to be driven by natural language prompts. Eragon aims to deliver a full suite of business software, encompassing functionalities similar to Salesforce, Snowflake, Tableau, and Jira, all accessible through a large language model (LLM) interface.

Sirota, who previously contributed to go-to-market teams at Oracle and Salesforce, candidly admits to experiencing a "quarter-life crisis" before relocating to San Francisco. He launched Eragon with a small team from a live-work loft directly across from the Giants’ baseball park. A recent, sunny Wednesday visit revealed a dining room table adorned with a bottle of Moët, several Mac minis, and a copy of "Eragon," Christopher Paolini's fantasy novel that inspired the company’s name—a tradition shared by Palantir and Anduril, which also drew from fictional realms.

Sirota’s extensive experience in implementing premier corporate software globally was pivotal in convincing investors of his strong "founder-market fit." His diverse group of backers includes Arielle Zuckerberg at Long Journey Ventures, Soma Capital, Axiom Partners, and strategic angel investors Mike Knoop and Elias Torres.

"We see enormous potential for Eragon to become the connective tissue for how modern teams operate and make decisions," remarked Sandhya Venkatachalam of Axiom. Eragon's technical talent pool includes Rishabh Tiwari, a Berkeley computer science PhD student, and Vin Agarwal, an MIT PhD, who are collaboratively building the company's core technology stack.

From Eragon’s "customer center of excellence"—a well-worn white sofa—Sirota demonstrates the company’s commitment to "eating its own dog food." Eragon fine-tunes open-source models like Qwen and Kimi using customer datasets and integrates with corporate email accounts and other essential resources. When onboarding a new client, as exemplified with Dedalus Labs, which is adopting the tool this week, Sirota simply issues a natural language prompt. The software then automatically assigns user credentials, provisions a new Eragon instance in the cloud, and initiates the onboarding workflow.

Sirota envisions Eragon as the indispensable software for executives to request analyses on potential deal slippages or strategies to improve supply chain lead times, subsequently assigning AI agents to execute necessary actions. Should a custom dashboard be required, a simple request to Eragon will generate it.

While the demonstration was compelling, it’s easy to envision complex or atypical queries that might challenge the software, or failures that prove difficult to audit. Sirota even showcased Eragon's automatic invoice approval—the system processes invoices directly from his inbox—a capability that prompted this reporter to consider submitting one, purely out of curiosity, though ultimately refrained.

The security implications of AI agents are substantial, but Eragon is actively addressing these challenges by refining its system within live business environments. The platform is currently in use across a select number of large businesses and dozens of startups. Nico Laqua, CEO of Corgi, an insurance startup that raised $180 million after emerging from Y Combinator last year, hailed Eragon as "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 emphasized. "Eragon trains state-of-the-art models for us on our data and deploys it in our own environment."

This principle is central to Eragon's core offering: a company's data remains within its own servers and secure infrastructure, with full ownership of its model weights—the underlying parameters that govern an AI’s behavior. Sirota predicts that models trained on years or decades of proprietary corporate data will evolve into invaluable assets themselves. He argues that while leading AI labs may develop the most capable models, Eragon gains a significant market advantage by enabling companies to own and configure their AI, rather than merely accessing third-party models via APIs.

Sirota likens the evolution of AI software to the historic transition from mainframes to personal computers. He suggests that while frontier labs offer powerful, centralized services, widespread corporate adoption will depend on localized tools tailored for specific purposes. Businesses will ultimately require bespoke agents and models, along with the autonomy to manage them effectively.

Just days later, Nvidia CEO Jensen Huang presented a similar perspective at GTC, Nvidia’s annual developer conference. He asserted that agentic AI tools for enterprise will fundamentally transform white-collar work, stating, "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 directly relate to Nvidia’s new initiative, NemoClaw, which aims to facilitate the secure operation of OpenClaw agents within enterprise systems. This development not only affirms Sirota's strategic direction but also signals the impending intense competition from a wide array of players, ranging from leading AI research labs to specialized model wrappers.

Undaunted, Sirota confidently projects Eragon will achieve a billion-dollar valuation by the end of the year. He acknowledges the frequently cited MIT statistic that 95% of corporate AI pilot programs fail to gain traction, but humorously attributes this to senior executives’ lack of insight into their employees' daily activities. Eragon's ultimate goal is to provide a truly practical and actionable AI solution for the modern workforce.