Side-by-side comparison of AI visibility scores, market position, and capabilities
Kibo Commerce is a composable unified commerce platform for order management and personalization, raised $100M+ and based in Dallas, TX.
Kibo Commerce was formed through the combination of Certona, Monetate, and Kibo, three established retail technology companies that merged to create a unified commerce platform covering personalization, order management, and e-commerce capabilities. The company, headquartered in Dallas, Texas and backed by over $100M in funding, targets mid-market and enterprise retailers looking for a composable alternative to monolithic commerce suites from vendors like Salesforce Commerce Cloud or SAP Commerce.\n\nKibo's platform provides a distributed order management system, a headless e-commerce engine, and an AI-driven personalization engine in a modular suite that retailers can deploy together or independently. The order management component handles real-time inventory visibility, order routing, fulfillment orchestration, and returns management across complex retail networks. The personalization engine, drawing on the Certona and Monetate heritage, powers product recommendations, content personalization, and A/B testing across digital touchpoints.\n\nKibo competes in the challenger tier of the order management and composable commerce markets, targeting retailers that want enterprise-grade capabilities without the implementation complexity and cost of legacy platforms. The company's composable architecture aligns with the growing MACH (Microservices, API-first, Cloud-native, Headless) movement in retail technology, positioning it as a flexible foundation for retailers modernizing their commerce 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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