Startup Bets on Narrow Focus Over General AI Tools for Industrial Sales
Emanate, a San Francisco startup, is building AI tools designed specifically for industrial materials companies rather than adapting general-purpose AI systems to their needs. The company targets manufacturers, distributors, and service providers who sell steel, aluminum, piping, and other raw materials-a sector worth trillions of dollars annually.
The industrial materials market involves complex sales work: generating custom quotes, reconnecting existing customers with products they need, and identifying new prospects. Currently, producing a single quote takes three to four weeks, said CEO Kiara Nirghin.
Emanate's tools can now generate useful quotes nearly instantly. Nirghin attributes this to recent advances in AI models over the past six to eight months that finally made the technology reliable enough for this work.
But the underlying AI model isn't the real differentiator, Nirghin said. The advantage lies in what Emanate calls the "harness"-the custom framework that integrates AI agents with enterprise resource planning software, internal knowledge databases, and other business systems specific to each client.
This approach addresses a concrete business problem: faster quotes and sales cycles reduce wasted production and increase productivity. The industrial materials sector supplies components critical to U.S. manufacturing growth and the transition to renewable energy, including solar panels, wind turbines, and EV charging infrastructure.
Emanate has raised funding from investors including Andreessen Horowitz and M13. The company currently employs 10 people and is betting that sector-specific AI for Sales tools will outperform off-the-shelf solutions in complex industries.
The company's strategy reflects a broader question for AI Agents & Automation: whether general-purpose systems or industry-tailored tools better serve businesses with specialized workflows.
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