Memories.ai

Video intelligence API: search, classify, and summarize video.

Video understanding platform built on its own multimodal foundation models — Marengo for embeddings and semantic search, Pegasus for generative tasks like summaries and captions. Developers index video once and run natural-language search, classification, and analysis via API. Free tier with usage-based pricing beyond it.

Multimodal platform to search, reason over, and clip large volumes of video.

Reka Vision is an enterprise multimodal system that indexes large image and video libraries so teams can search by meaning, ask timestamp-aware questions, and auto-generate highlights and clips. It is built by Reka, a frontier multimodal-model lab, and is available via API, an MCP server, or a hosted app. Access is sales-led (request a demo).

Multimodal platform that makes images and video searchable and structured.

Coactive AI is an enterprise multimodal application platform that pulls context directly from the pixels and audio in images and video — no manual tagging or metadata required. Teams use it to semantically search, label, govern, and structure large visual libraries at scale, turning unstructured media into queryable data. It is aimed at media, retail, and other enterprises with vast image and video archives.

Find any scene in your video and multimodal library.

Mixpeek is a multimodal retrieval API for searching across video, images, audio, and documents with natural language. It extracts and indexes structured features — faces, scenes, transcripts, OCR, and embeddings — over object storage like S3, GCS, and R2, then runs hybrid dense, sparse, and BM25 search with reranking. Cross-modal joins let a single query combine signals such as faces, spoken phrases, and on-screen text.