NVTBL provides an enterprise‑grade platform that embeds AI video analysis directly into existing DAM, MAM, CMS and other media repositories, allowing organizations to reuse, search, and extract structured insights from video without moving data outside secure environments. Its Moments Engine orchestrates speech, visual and motion intelligence to generate searchable metadata, clips and analytics that can feed downstream LLM pipelines and analytics tools, all via REST APIs and SDKs.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises with large video libraries often struggle to locate specific content, extract insights, and reuse footage efficiently because traditional video management systems lack built-in AI analysis and require manual tagging.
Solution
NVTBL offers an enterprise‑grade video intelligence platform that layers AI capabilities onto existing DAM, MAM, CMS, and other repositories without replacing them. The Moments Engine processes video through REST APIs and SDKs to extract speech, visual, and motion data, generating transcripts, metadata, and identified key moments. Structured outputs can be queried directly or fed into analytics and LLM pipelines, enabling faster content discovery, reduced editing effort, and secure use within regulated environments. The platform runs inside the customer’s infrastructure, preserving existing security and governance controls.
Target Audience
Primary customers are large enterprises, media organizations, and regulated industries that manage extensive video assets and need searchable, AI‑enhanced content for marketing, training, and analytics.
Features
- Seamless integration with DAM, MAM, CMS, and custom repositories via REST APIs and SDKs
- AI-driven extraction of speech, visual context, motion, speakers, and topics to create searchable transcripts and metadata
- Automatic generation of key moments and structured video intelligence usable by humans and downstream systems
- Enterprise‑grade security and governance, with no external data exposure
- Extensible architecture supporting web, mobile, OTT, and enterprise workflows
- Consistent metadata schema across large video libraries for reliable reuse and analytics