Side-by-side comparison of AI visibility scores, market position, and capabilities
Source-to-pay procurement platform for large enterprises; Redwood City CA; raised $60M+; serves Fortune 500 with 100% cloud-native architecture and no-code configurability.
Ivalua is a source-to-pay procurement platform headquartered in Redwood City, CA, that serves large enterprises and Fortune 500 organizations with a fully unified platform covering strategic sourcing, supplier management, contract lifecycle management, procurement, and accounts payable. The company raised over $60 million in funding and has positioned itself as a flexible alternative to older ERP-embedded procurement systems.\n\nIvalua's platform is built on a 100% cloud-native architecture with extensive no-code configurability, allowing procurement teams to adapt workflows, approval rules, and data models without relying on IT or custom development. This configurability is particularly valuable for large enterprises with complex, non-standard procurement processes that generic platforms cannot accommodate.\n\nThe platform's unified data model means all procurement activities — from supplier discovery to invoice payment — share a single source of truth, providing finance and procurement leadership with comprehensive spend visibility and audit trails. Ivalua's strong presence in Europe alongside its US operations reflects the global nature of the enterprises it serves and the need for multi-currency, multi-language procurement infrastructure.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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