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Conveyor Secures $20M Series B for AI-Powered Sales Automation

June 12, 2025•PYMNTS•Original Link•2 minutes
AI
B2B
Automation

Conveyor raised $20 million in Series B funding to scale its AI agents that automate security reviews and RFPs in B2B sales.

Conveyor, a company specializing in AI-driven sales automation, has secured $20 million in a Series B funding round. The investment, led by SignalFire, will accelerate the development of its AI agents designed to streamline B2B sales processes, including security reviews and requests for proposals (RFPs).

Key Highlights

  • Funding Purpose: The capital will expand Conveyor’s AI research, engineering teams, and go-to-market efforts. The long-term goal is to build a trust layer for interactions between buyers’ and sellers’ AI agents.
  • AI Agents in Action:
    • Sue: Automates security reviews with 95-97% accuracy, enabling self-service access to vendor documents via a Trust Center.
    • Phil: Researches RFP requirements and drafts proposal responses autonomously.
  • Customer Impact: Conveyor’s solutions are used by 480+ customers, have answered 1M+ questions, and facilitated 800K+ Trust Center interactions.

Industry Context

  • B2B Transformation: AI agents are reshaping B2B operations by enhancing speed and efficiency. Conveyor’s CEO, Chas Ballew, emphasized the mission to eliminate trust bottlenecks in enterprise sales.
  • Investor Insight: SignalFire’s Tony Pezzullo praised Conveyor for redefining agentic automation and creating a platform for agent-to-agent communication.

Recent Developments

  • Previous Funding: This round follows a $12.5M Series A in October 2023.
  • Broader Trend: Other firms like Transcard and Routable are also leveraging AI agents for KYB onboarding and fraud detection in B2B payments.

For more B2B insights, subscribe to the B2B Newsletter.

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Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
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2
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