Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-native search API raised $85M Series B at $700M valuation in Sep 2025 backed by Nvidia and Benchmark; revenue hit $10M with 1,010% YoY growth; powers semantic web retrieval for LLM and RAG pipeline applications.
Exa AI is an AI-native search and retrieval company building a fundamentally different kind of web search infrastructure designed specifically for AI systems and developers. Founded on the premise that keyword-based search engines are poorly suited to serve as data sources for large language models, Exa developed a neural search architecture that retrieves web content based on semantic meaning rather than keyword matching — enabling AI applications to find relevant, high-quality information the way reasoning systems think about queries.\n\nExa's API allows developers to perform meaning-based web searches, retrieve full page contents, find similar documents, and access curated data streams for AI training and retrieval-augmented generation pipelines. It is designed as AI infrastructure: the underlying retrieval layer that powers AI agents, research tools, and automated workflows that need accurate, current web information. Target customers are AI developers, research teams, and enterprises building AI-powered products that require reliable web grounding.\n\nExa AI raised $85M in a Series B at a $700M valuation in September 2025, backed by Nvidia and Benchmark Capital. The company's revenue hit $10M with 1,010% year-over-year growth — one of the fastest growth rates in the AI infrastructure category. Nvidia's strategic investment reflects Exa's importance as a retrieval layer in the broader AI stack. As AI agents proliferate and need reliable access to real-time web knowledge, Exa's semantic search API is positioned as essential infrastructure for the next generation of AI applications.
Real-time voice and video infrastructure powering ChatGPT Voice Mode, xAI, Meta, and Spotify; raised $100M Series C at $1B valuation in Jan 2026; open-source WebRTC platform specifically engineered for low-latency AI applications.
LiveKit is an open-source real-time audio and video infrastructure company providing the communication backbone for AI voice and video applications at scale. Founded to make production-grade real-time communication infrastructure accessible without the prohibitive cost and complexity of building it in-house, LiveKit developed a WebRTC-based platform optimized for the specific latency, reliability, and scale requirements of AI-powered voice and video experiences.\n\nLiveKit's platform handles the real-time transport layer for voice calls, video conferencing, and multimodal AI interactions — abstracting the complexity of WebRTC, TURN servers, codec optimization, and global distribution into a developer-friendly SDK. Its infrastructure is specifically engineered for the low-latency, high-reliability requirements of AI voice agents, where even 200ms of added latency degrades the conversational experience. The company provides SDKs for every major platform and has built a reputation as the most production-ready open-source option for real-time AI communication.\n\nLiveKit powers ChatGPT's Voice Mode, xAI's voice products, Meta, and Spotify — a client roster that validates its ability to operate at extreme scale and reliability. The company raised $100M in a Series C at a $1B valuation in January 2026, bringing total funding to $183M. As conversational AI products proliferate across consumer and enterprise applications, LiveKit's position as the de facto real-time infrastructure layer for AI voice gives it a durable and expanding role in the AI application stack.
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