AI system-of-record for enterprise media content
AI Visual Understanding for Multimodal Data
When footage comes off a camera today, media teams still lose hours dumping files into generic storage, renaming and sorting folders, hunting for past shots, assembling rough cuts by hand, and passing around review links in Slack and email. Aspect is an AI-native video file system that understands a team’s library and day-to-day workflows. Today, teams use Aspect to migrate footage from Dropbox/Drive/servers into a single library, search it through chat (“show me where Dr. Brown used a robotic forcep”), leave timestamped feedback and mark up frames, generate rough draft sequences, and automatically route the right clips into tools like ClickUp and Slack. The platform offloads the organizing, searching and routing work, so teams can spend more time making content and companies can achieve a higher ROI on their library.
With our visual understanding engine & platform, Aspect data teams at AI labs. Aspect processes dense multimodal datasets, providing tools for segmentation, QC, structured schema extraction. Companies today have access to Glean and Notion Agents for working with vast text corpuses - Aspect is enabling that for multimodal data.
Aspect shifted from being an AI-powered video management system for media teams (enterprise media workflows) to providing a visual understanding engine and multimodal data platform for AI labs/data teams. The core product (AI for understanding visual/content data) persists but the target market and use case have changed significantly, from media production to handling dense datasets for technical AI/data users.