Overview
RoadRunner is an AI-native revenue infrastructure platform that replaces legacy CPQ systems to streamline quote-to-cash for enterprise sales. It offers PQA—Prompt, Quote, Approve—a conversational, AI-powered stack that generates quotes via prompts, suggests deal structures from historical data, enforces pricing policies, and automates complex approval routing, including consumption-based pricing and multi-product bundles. The product uses a modular data model to speed up loading times and simplify configuration, and RoadRunner handles client migrations with its own engineers to model catalogs and rebuild rules. The goal is to create a digital deal desk that increases efficiency, accuracy, and speed across the entire sales cycle from initial prompt to renewal management, targeting large enterprise customers.
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Simplify's take
What believers are saying
- Roadrunner said May 2026 pilots closed seven-figure deals within three months, signaling urgent demand.
- Its 11 open jobs in October 2026 show active scaling across engineering, sales, and implementations.
- Complex usage-based pricing keeps expanding, and Roadrunner targets the exact revenue bottleneck buyers hate.
What critics are saying
- Salesforce and legacy CPQ vendors can bundle AI features by 2027 and crush pricing.
- Roadrunner's model depends on painful enterprise migrations that require custom catalog rebuilding and approvals.
- No public customer logos, revenue, or retention metrics exist; one failed flagship deal kills momentum.
What makes RoadRunner unique
- Roadrunner is Kleiner Perkins's first incubation since Glean, launched in 2026.
- PQA, announced May 12, 2026, replaces brittle CPQ data models with natural-language deal workflows.
- Trae Stephens joined the board after Founders Fund led Roadrunner's $22 million Series A.
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