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Narada AI at UC Berkeley’s 2026 Agentic AI Summit

August 2, 20262 min read
Narada AI at UC Berkeley’s 2026 Agentic AI Summit

On August 2, Narada AI CEO and co-founder Dave Park took the stage during the Startup Spotlight at UC Berkeley's 2026 Agentic AI Summit. His message was direct: enterprise automation only creates value when it can execute long, complex workflows reliably and at production scale. Watch the full talk on YouTube.

The summit appearance followed Narada AI's selection for the Berkeley Xcelerator's 2026 Spring Cohort. Led by UC Berkeley's Center for Responsible, Decentralized Intelligence, the program supports next-generation AI and agentic AI startups.

Why Enterprise Automation Still Breaks

Many of the processes with the greatest business impact, including ERP testing, data validation and reconciliation, and order, invoice, and billing operations, cross multiple SaaS tools, legacy applications, and web portals. APIs often cover only part of the journey, so automation must also understand and act through the user interface.

Hard-coded scripts break when interfaces change. General-purpose AI agents can lose context during workflows that span hundreds of steps, especially when real-world exceptions such as timeouts, login issues, or duplicate records arise.

Why enterprise workflows are still largely manual

From a Prompt to a Production-Ready Agent

Narada can turn natural-language process descriptions or screen recordings into agents tailored to each customer's environment. Its LLMCompiler framework decomposes long workflows into granular steps, adding planning, validation, guardrails, exception handling, and self-healing along the way.

Narada's UI agent combines API access, HTML and DOM understanding, computer vision, and legacy desktop automation to work across web applications, Citrix and VDI environments, remote browsers, and mainframes. After learning an execution path, it can run subsequent workloads with over 10x lower token use and latency.

Narada UI Agent operating across web applications, APIs, Citrix, remote browsers, and mainframes

Enterprise Workflows, End to End

Dave shared examples ranging from automotive market research across 23 countries to billing operations spanning thousands of portals. These are exactly the long-horizon, high-accuracy workflows Narada was built to automate.

Have a repetitive workflow in order processing, invoice or billing operations, system testing, or online market research? Request a demo to see how Narada can help.

August 2, 2026
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