Forgepoint Raises $9.8M Seed Funding to Scale AI Agent Frank for Manufacturing Firms

Forgepoint Secures $9.8 Million Seed Funding to Scale AI Agent for Manufacturing

Forgepoint announced $9.8 million in seed funding led by Primary Venture Partners and a16z speedrun to expand Frank, its AI Inside Sales Representative designed specifically for manufacturing firms1

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. Angel investors from OpenAI, Brex, Vercel, and SoFi also participated in the round1

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. The AI agent addresses a critical bottleneck in American manufacturing: while shops can produce parts rapidly, the administrative work around quoting often takes days or weeks. Forgepoint reached seven-figure ARR within six months of Frank's launch, with hundreds of engineers, estimators, and sales representatives now using the platform weekly1

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Frank Automates the RFQ-to-PO Process for Manufacturing Firms

Frank operates as an autonomous inside sales rep that manages the entire request for quotation process from incoming inquiry to final purchase order1

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. The AI agent receives its own company email address and learns each manufacturer's specific pricing rules, operating procedures, and approval requirements2

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. When an RFQ arrives, Frank analyzes part files, flags missing specifications, and contacts buyers for clarification when needed. It prepares pricing using the manufacturer's own cost model, surfaces similar historical jobs, and routes drafts to appropriate reviewers1

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. After approval, Frank generates the final document in the company's template, sends it to customers, manages follow-up communications, and records all correspondence. This approach allows engineers, estimators, and salespeople to focus on technical and commercial decision-making while Frank handles administrative tasks between them1

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AI Agent Delivers 30% Increase in Quote Throughput and 55% Faster Response Times

Early adopters report an average 30% increase in monthly quote throughput and more than 55% reduction in time-to-quote across customers1

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. These improvements address mounting customer expectations: a 2025 Gardner Intelligence study found that nearly 50% of manufacturers expect vendor responses within 24 hours1

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. Forgepoint's research reveals that 78% of companies purchase from the first supplier who responds to their request2

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. Speed has become a competitive advantage in manufacturing, where shops often produce parts faster than they generate quotes. The typical RFQ arrives as an email with multiple attachments and missing specifications, requiring estimators to contact customers, find similar jobs, build cost models, secure engineering approval, apply margins, enter pricing into ERP systems, generate quotes, update CRMs, and manage follow-up—a process that stretches from hours into days or weeks1

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Jack Strauss and Alex Pareto Build Solution After Touring Midwest Manufacturing Plants

CEO Jack Strauss spent his career at Northrop Grumman, Bain & Company's Advanced Manufacturing practice, and aerospace systems integrator Xwing, consistently observing manufacturers investing heavily in shop floor automation while back-office processes remained stuck in email, spreadsheets, and aging enterprise systems1

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. In early 2025, Strauss and co-founder Alex Pareto, formerly Head of Engineering for Brex's Spend Management organization, spent months touring plants across the Midwest, shadowing employees and studying processes to identify bottlenecks1

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. "In those early days, we simply wanted to learn, as if we had been hired to do the job ourselves. We knew that before we could solve the problem, we needed to understand it deeply," said Alex Pareto1

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. They concluded that frontier AI developing in Silicon Valley could remove bottlenecks they witnessed on factory floors. "We kept meeting manufacturers with strong demand and capable teams, but their best people were spending hours on administrative work. Speed is a competitive advantage, so we built Frank to keep jobs moving and free skilled operators to focus on the decisions only they can make," said Jack Strauss1

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System Integrations and Expansion Plans Target Broader Manufacturing Operations

Forgepoint configures Frank around how each shop already works, adapting to radically different quoting and pricing approaches across manufacturing sectors1

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. At metal service centers, Frank matches material lists and cut lengths against catalogs, applies customer-specific pricing, and checks inventory. At foundries, the AI agent reviews part files and gathers missing drawing specifications from buyers before preparing first drafts for engineers1

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. The seed funding will bring Frank to more manufacturers, deepen system integrations with platforms they already use, and grow the team1

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. Beyond expanding Frank's reach, Forgepoint plans to explore additional ways AI can scale manufacturing operations2

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. Primary Venture Partners Principal Zach Fredericks noted that the ability to quote, plan, and manage engineering work is just as important as actual manufacturing capacity, and Forgepoint is giving teams more capacity starting with the request for quotation process2

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