

Cloudglue is a purpose-built infrastructure layer that converts raw video and audio streams into clean, structured, and semantically rich data — engineered from the ground up for large language models and AI agents. It unlocks the latent intelligence in your multimedia assets: transforming hours of meeting footage, training videos, or customer calls into queryable JSON, timestamped summaries, speaker-aware transcripts, and multimodal embeddings — all via simple, scalable APIs.
Integrate Cloudglue in minutes — not weeks. Choose your path: deploy a single `POST /v1/query` call for instant, managed video Q&A (no RAG pipelines required), or leverage fine-grained endpoints like `/extract`, `/summarize`, and `/embed` to build custom workflows. Whether you're indexing 10 videos or 10,000, Cloudglue handles ingestion, processing, and output formatting — so your team focuses on building AI, not preprocessing media.
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Cloudglue is an API-native platform that ingests video and audio files and outputs structured, model-ready data — including time-aligned transcripts, speaker diarization, keyframe descriptions, topic clusters, and vector embeddings — all optimized for consumption by LLMs, retrieval systems, and autonomous agents.
Developers integrate Cloudglue using RESTful APIs. Start with `POST /v1/query` for immediate video Q&A, or compose modular pipelines using dedicated endpoints for transcription, summarization, entity extraction, and multimodal embedding — all with consistent authentication and error handling.
It eliminates the video-to-data bottleneck: converting unstructured multimedia into standardized, machine-actionable formats — enabling AI applications to interpret, search, reason over, and respond to video content as naturally as they do text.
Processing scales linearly and predictably: a 50-minute video yields complete, structured output — including embeddings and metadata — in ≤3 minutes. Latency remains sub-second for queries on indexed libraries, regardless of scale.
Full spectrum control — from lightweight `transcribe_only` mode (fast, low-cost) to `multimodal_deep` (visual + audio + contextual analysis). You define granularity per use case: segment duration, speaker resolution, confidence thresholds, and output schema.
Absolutely. Cloudglue supports SSO, audit logging, private VPC deployment options, SLA-backed uptime, and compliance-ready architecture — trusted by fast-growing AI teams building mission-critical video intelligence products.
Credits are deducted per successful request, based on media duration and selected feature tier. For example: `transcribe` uses 2 credits/minute; `extract` (with speaker + summary + entities) uses 6 credits/minute; `embed` consumes 4 credits/minute. Unused credits roll over monthly.