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    Home - E-commerce & Retail - Conveyor raises $20 million to design agentic AI for B2B sales tasks
    E-commerce & Retail

    Conveyor raises $20 million to design agentic AI for B2B sales tasks

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    Conveyor raises  million to design agentic AI for B2B sales tasks
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    Conveyor, a software company focused on automating customer trust workflows in enterprise sales, has raised $20 million in funding.

    SignalFire led the round, with participation from Oregon Venture Fund and Cervin Ventures. They have brought Conveyor’s total funding to $40 million.

    The company develops agent-based AI tools that streamline security reviews and automate responses to requests for proposals (RFPs) — processes that often slow down enterprise deals. The new investment will support the continued development of Conveyor’s AI agents:

    • “Sue,” which manages customer security reviews.
    • “Phil,” which generates RFP responses.

    Security and compliance reviews have become a persistent bottleneck in B2B transactions. According to Conveyor, the average security review takes over three weeks to complete. And only 13% of security professionals describe their processes as efficient. The company designed its AI tools to reduce that friction by autonomously answering questionnaires, retrieving documentation, and generating responses — helping sales and security teams shift from manual support roles to more strategic functions.

    “Customer trust isn’t just a compliance issue — it’s a sales blocker,” said Chas Ballew, CEO of Conveyor. “Our agents are designed to remove that friction and keep deals moving.”

    How Conveyor funding embeds AI agents for B2B ecommerce

    Conveyor’s platform reflects a growing trend in B2B ecommerce: embedding AI directly into the sales process to reduce delays in complex, high-value transactions. As companies seek to automate procurement and compliance workflows, Conveyor’s approach signals a shift toward “trust automation” as a core component of digital selling.

    Customers such as Zendesk and Atlassian have reported measurable efficiency gains since adopting the platform. Zendesk said it reduced monthly review time by 20% and reclaimed 120 hours per month across internal teams.

    With the new funding, Conveyor plans to scale its AI engineering team, expand go-to-market operations, and work toward enabling AI-to-AI communication, envisioning a future where agents on both sides of a transaction can conduct trust exchanges autonomously.

    As part of the funding round, Chris Farinacci, former chief operating officer of Asana and a former Google Cloud executive, will join Conveyor’s board as an independent director.

    In an enterprise environment where trust and compliance are increasingly central to digital sales, Conveyor is positioning itself as more than a workflow tool. It’s aiming to become part of the foundational infrastructure for AI-driven B2B commerce.

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    Sign up for a complimentary subscription to Digital Commerce 360 B2B News. It covers technology and business trends in the growing B2B ecommerce industry. Contact Mark Brohan, senior vice president of B2B and Market Research, at [email protected]. Follow him on Twitter @markbrohan. Follow us on LinkedIn, X (formerly Twitter), Facebook and YouTube.

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