TwelveLabs

Make your video library searchable down to scene level with contextual AI. Then select from pre-built AI-powered features to create workflows without writing a line of code. We then transform thousands of frames and speech elements into mathematical representations, making your videos searchable instantly, and build your own video user workflows and tools with visual building blocks. Hand-pick from templated user interfaces and features. Integrating Imaginario's APIs is seamless and intuitive for any developer. In two steps, make your video catalog searchable down to the scene level. We can also train our AI for your specific needs. Our powerful AI brain shows you key topics inside your videos and then suggests the best quotes to spark new ideas. Let users choose their favorite parts and find content faster. Our powerful video API clusters topics and visual scenes inside your videos without complex tagging and AI/ML training. Categorize content at scale like a creative team would do.

Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms. The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.