After AGI Summit: the production gap we're taking to Berkeley

What this means for a founder or an investor: agent products are shipping far faster than the go-to-market behind them. If your product — or your portfolio — is ahead of its story, the decision to revisit is whether distribution gets engineered and operated with the same discipline as the product, or waits on GTM hires that barely exist at scale.

Enso Labs is heading west: we'll be on the ground at the Bay Area's two biggest agentic-AI gatherings this summer — the AGI Summit (July 18–19, Palace of Fine Arts, San Francisco) and the Berkeley Agentic AI Summit (August 1–2, UC Berkeley). If you're building or buying agentic systems, we want to meet you there.

These two rooms are where agentic AI is actually being decided — Google DeepMind, OpenAI, Anthropic, and Berkeley RDI in one place, 20,000+ builders and buyers across the two events. It's the right place for the conversation we care about most.

Because the conversation has moved. The demo era is ending; the hard part now is agents that survive production — governed, evaluated, and grounded in real domain expertise. That's the work we do. Enso Labs is a principal-led AI managed-services studio: we encode your industry's expertise into managed agents, then build and operate them in production. Strategy through production, led by the person who also builds.

The gap is visible in the data: nearly half of Y Combinator's recent batches are AI-agent companies, postings for forward-deployed engineers grew more than 700 percent year over year, and in CB Insights' analysis of 431 venture-backed shutdowns, 43 percent traced back to poor product-market fit. Everyone is building agents; almost no one is building the story and the customer-acquisition engine behind them. That's the layer we operate: fifteen years of New York brand and demand craft, encoded as managed agents — go-to-market for funded startups, agentic commercial layers for enterprises and SMBs.

We'll be comparing notes on the things that actually make agents stick: writing the rubric before the agent, treating memory and governance as architecture, and the shift from "shipped AI product" to operated AI. And on the commercial side — the fifteen years of brand and demand craft we now build as agents.

If you'll be in San Francisco between July 18 and August 2, let's grab time. Whether you're a founder putting agents into production, an enterprise team whose pilots keep stalling, or a fellow builder — get in touch or email sav@ensolabs.ai, and let's find 20 minutes in SF.

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