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Forgepoint Raises $9.8M to Automate Custom Manufacturing Quotes

Forgepoint’s $9.8 million seed round will expand Frank, an AI inside-sales representative that qualifies manufacturing RFQs, applies shop-specific pricing, drafts quotes, and manages follow-up under human approval.
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Forgepoint announced a $9.8 million seed round on October 14, 2026, to expand Frank, an AI inside-sales representative built for manufacturing companies. Frank reads incoming requests for quotation (RFQs), identifies missing details, applies a shop’s own pricing rules, prepares quote documents, and follows up while engineers, estimators, and sales staff retain approval and technical authority.

What Forgepoint announced

Forgepoint was founded by Jack Strauss and Alex Pareto and is focused on software for manufacturers. Primary Venture Partners and a16z speedrun led the seed financing. Angels associated with OpenAI, Brex, Vercel, and SoFi also participated.

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An a16z speedrun company profile lists Forgepoint as founded in 2025, based in San Francisco, and employing eight people at the time of that profile. The new capital is aimed at expanding the product and its adoption across manufacturing segments.

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How Frank handles a manufacturing RFQ

1. Qualifying the request

Frank monitors incoming RFQs and their attachments, including part files and drawings. It checks whether the information needed for a reliable quote is present and contacts the customer for missing specifications instead of allowing an incomplete request to stall in an inbox.

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2. Applying the shop’s pricing logic

The system is configured around each manufacturer’s own cost model rather than a generic price formula. It can use catalogs, material lists, cut lengths, inventory information, customer-specific pricing, exceptions, and similar historical jobs when preparing a draft.

3. Routing technical and commercial decisions

When a request needs engineering judgment or a commercial exception, Frank routes it to the appropriate reviewer. Human engineers, estimators, and salespeople continue to make the technical and commercial decisions; the software prepares the work for approval.

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4. Producing and sending the quote

After approval, Frank creates the final document in the manufacturer’s template, sends it, manages follow-up, and records emails, attachments, and actions in the company’s CRM or ERP systems. That creates a continuous record from the original RFQ through the customer response.

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Configurations vary by manufacturing business

Forgepoint says Frank is adapted to the way each shop sells and prices work:

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  • Metal service centers: It can match material lists and required cut lengths against a catalog.
  • Inventory- and account-driven sales: It can check available stock and apply pricing that differs by customer.
  • Foundries: It can review part files, request absent drawing specifications, and prepare an engineer’s first draft.
  • Other target segments: Forgepoint names injection molding, automation, fabrication, stamping, and machining.

Why manufacturers are automating quoting

Forgepoint’s operating thesis is that many manufacturers automated production before automating the office work surrounding it: quoting, sales communication, procurement, and order administration. RFQs often arrive in inconsistent formats and require repeated data entry, technical clarification, pricing exceptions, and follow-up. Automating those steps can increase the number of opportunities a small estimating or sales team can handle without removing the review gates that protect margins and specifications.

Response speed is commercially important. SiliconANGLE reported that more than half of manufacturing firms expect a vendor response within 24 hours, attributing the figure to Gardner Intelligence’s 2025 data. The same report attributed a 78% “buy from the first supplier that responds” figure to Forgepoint’s own 2026 research. The 78% figure is a company claim reported by SiliconANGLE, not an independently verified industry statistic.

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Forgepoint’s reported early results

The following figures come from Forgepoint and have not been independently audited:

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Measure Reported result Qualification
Monthly quote throughput 30% average increase Forgepoint-reported customer result, 2026
Time to quote More than 55% reduction Forgepoint-reported customer result, 2026
Annual recurring revenue Seven-figure ARR within six months of launch Forgepoint-reported company milestone, 2026
Weekly users Hundreds of engineers, estimators, and sales representatives Forgepoint statement, 2026

Chas Aday, founder and CRO of SIP Manufacturing, described the workflow this way: “Before Forgepoint, we were building quotes by hand and barely keeping up. Now, Frank drafts and I can approve it in two minutes. I’m spending less time entering data and more time serving my customers.”

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Does Frank replace estimators or engineers?

Forgepoint presents Frank as an operational layer, not an autonomous replacement for a shop’s experts. The software gathers files, extracts details, applies configured rules, finds relevant history, and drafts documents. People still resolve ambiguous drawings, decide whether a process is feasible, approve prices and exceptions, and authorize the final quote. The routing and approval model is therefore central to the product: speed comes from reducing administrative work while leaving accountability with the manufacturer.

What to check when evaluating AI quoting software

Manufacturers considering this category should test the complete workflow rather than judging a chatbot’s ability to read one document:

  • RFQ intake: Can it handle email, attachments, drawings, and automated requests for missing specifications?
  • Pricing fidelity: Can it reproduce the shop’s cost model, catalogs, inventory constraints, customer pricing, and exceptions?
  • Human controls: Are engineering review, approval routing, and commercial sign-off explicit and auditable?
  • System integration: Does it write to the existing CRM and ERP, use approved document templates, log correspondence, and retain historical quote context?
  • Evidence: Are throughput and time-to-quote improvements measured for the specific operation, with clear definitions and implementation conditions?

Zach Fredericks, a principal at Primary Venture Partners, summarized the investment case: “A manufacturer’s ability to grow depends on how much work its team can quote, plan, and manage.” He added that Forgepoint is giving those teams more capacity, starting with quoting.

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Forgepoint’s financing and Frank’s reported adoption signal a bet that the next manufacturing software gains will come from the commercial processes around the factory as much as from the factory floor. The practical test will be whether each deployment can encode a shop’s real pricing and review practices without weakening engineering control.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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