Klevu vs 100ms
Side-by-side comparison of AI visibility scores, market position, and capabilities
Helsinki AI ecommerce search platform founded 2013; raised $15M+; uses NLP to understand shopper intent and continuously learns from on-site behavior to improve product discovery relevance.
About
Klevu was founded in 2013 in Helsinki, Finland and raised over $15M to build an AI-powered search and product discovery platform for mid-market and enterprise e-commerce retailers. The company built its differentiation around the application of natural language processing and machine learning to e-commerce search, enabling the platform to understand shopper intent from conversational queries rather than relying on exact keyword matching.\n\nKlevu's platform handles on-site search, category page navigation, and product recommendations with an AI layer that continuously learns from shopper behavior to improve result relevance over time. The platform's self-learning algorithm adjusts result rankings based on click-through rates, add-to-cart events, and conversion data automatically, reducing the manual merchandising effort required to maintain search quality on large or rapidly changing catalogs. Klevu also provides AI-powered product recommendations that can be deployed on product pages, cart pages, and email campaigns.\n\nKlevu integrates with Shopify, Magento, BigCommerce, and Salesforce Commerce Cloud, and has built a strong partner ecosystem with Shopify and Magento agencies. The company competes against Searchspring, Constructor, and Unbxd in the e-commerce search market, differentiating through its AI-first architecture, strong support for multi-language catalogs across European markets, and competitive pricing for mid-market retailers.
100ms is a live audio/video infrastructure platform with SDKs for React, iOS, Android, and Flutter, providing programmable rooms, recording, and live streaming for web and mobile apps.
About
100ms is a live audio and video infrastructure platform that provides developers with SDKs and APIs for embedding real-time communication features — video rooms, audio spaces, live streams, and recording — into web and mobile applications. The platform is designed around a room-based model where developers programmatically create, configure, and manage video rooms through a REST API, with client SDKs for React, iOS, Android, Flutter, and React Native handling the media layer. This abstraction allows teams to build fully custom video experiences with their own UI without dealing with WebRTC internals, TURN server management, or media server infrastructure.
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