Side-by-side comparison of AI visibility scores, market position, and capabilities
Constructor is an AI product discovery platform for e-commerce search and browse, raised $55M+ and based in San Francisco.
Constructor was founded in 2015 in San Francisco and raised over $55M to build an AI-powered product discovery platform targeting large e-commerce companies and retailers with revenue-optimization as the primary value proposition. Constructor differentiates from other e-commerce search vendors by explicitly framing its search algorithm not around relevance as an end goal but around business outcome optimization — its models are trained to maximize revenue, conversions, or other commerce KPIs rather than abstract relevance scores.\n\nConstructor's platform covers product search, browse, recommendations, and collections, with a unified AI layer that shares signals across all product discovery touchpoints rather than treating search and browse as separate problems. The platform is designed for high-traffic, catalog-rich e-commerce operations where even small improvements in discovery quality translate to significant incremental revenue. Constructor offers a quorum-based infrastructure designed to maintain performance at enterprise scale.\n\nConstructor targets large e-commerce companies and enterprise retailers, positioning itself above mid-market search vendors in terms of scale requirements and price point. The company counts major retailers and marketplace operators among its customers and competes against Coveo, Bloomreach Discovery, and in-house search solutions at large e-commerce companies. Its revenue-optimization framing and enterprise scalability are the primary differentiators versus more mid-market-focused competitors like Searchspring and Klevu.
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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