For revenue operations and legal teams managing contracts, Conga is a revenue lifecycle management platform that automates document generation, contract lifecycle management, and quote-to-cash commerce workflows in one system.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Conga positions itself as an open platform connecting pricing, quoting, and contracting into a single commerce chain, built to integrate with the ERP and CRM systems customers already run rather than replace them, and it broadened that reach in 2026 by acquiring another enterprise software provider's B2B pricing-optimization business. Conversation around the brand carries a steady, established presence, running from legal and revenue-operations practitioners describing hands-on implementation work to executive-level partner events and coverage of the company's continued expansion and acquisition activity.
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Business Profile
Conga was founded in 2006 and has grown into a roughly 2,100-person company serving more than 10,000 businesses across technology, financial services, healthcare, and manufacturing. It raised $117 million before becoming a Thoma Bravo portfolio company, and in February 2026 it completed the acquisition of PROS Holdings' B2B pricing-optimization business, expanding beyond its core document generation, e-signature, and contract lifecycle management lines into AI-driven pricing. The deal also brought Conga its first U.S. office outside its Houston headquarters, a new hub in Boston.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Conga has published OpenAPI documentation across its contracts, document automation, platform, and revenue products, plus an llms.txt index built specifically for AI agents to parse its developer portal. Inside the product, it has layered AI directly into pricing and contract workflows, including an AI-driven pricing assistant. No MCP server or CLI surface is documented yet, but the developer portal's agent-formatted index points toward machine-consumable access as the near-term build-out.
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