This solution addresses two fundamental challenges simultaneously: 1) preparing video data for AI training, and 2) enabling efficient licensing between fragmented supply and concentrated demand. Together, these capabilities establish a new category called “AI training data supply chain infrastructure”.

Connected TV has become one of the fastest-growing segments of digital advertising, but its effectiveness has been difficult to measure. Without reliable attribution, advertisers cannot fully evaluate the impact of their spending, and publishers cannot accurately demonstrate the value of their inventory. By connecting ad exposure on television devices to actions on mobile devices, Atlas Performance provides the missing link that allows advertisers to evaluate real-world outcomes. At the same time, the system’s clean room architecture ensures that this insight is delivered without compromising user privacy.

Unlike conventional computer vision systems which analyze images or video in isolation, AI visual memory systems are designed to create persistent, structured representations of real-world experience. These systems ingest continuous streams of video, audio, and images, transforming them into searchable, contextual memory frameworks that can be accessed in real time.

The industry’s first GlobalSphere™ AI Authority Index, a framework designed to measure and improve how organizations are represented across AI-driven discovery platforms.

Enterprise customer communications are splintering. Voice calls still matter for high-intent moments (appointments, escalations, urgent support), but customers increasingly expect messaging-first experiences on WhatsApp and embedded web chat. Meanwhile, the AI voice agent market is exploding, with vendors promising “human-like” automation, but often delivering a brittle stack of stitched-together components: one provider for telephony, another […]