Castle Global
https://castleglobal.comAbout
In 2013, we set out to rethink consumer products through the lens of machine learning. Today, we have 100m+ consumers using our products that all sit on top of our machine learning platform. We continue to apply machine learning to rethink consumer product development, while we solve mission-critical problems for companies, non-profits and governments.
ABOUT HIVE.AI
Hive was founded by two Stanford graduate students determined to build practical applications using novel deep learning technologies. From the beginning, we knew that high-quality datasets were critical to creating deep learning models. However, we also knew that the quantity of labeled data also has a huge impact on model performance. With this in mind, we first started by building a data labeling platform specifically designed to solve machine learning problems. This platform, Hive Data, is now the world’s largest distributed human workforce for data labeling and produces millions of high-quality annotations every day. Hive Data allows us to label uncommonly large datasets at a fraction of the cost that other data labeling solutions would charge. Once Hive Data was built, we were able to quickly label enormous datasets and rapidly build a suite of machine learning models that now form our core offerings in Hive Predict. Our Hive Predict team has since built a wide range of custom machine learning models spanning a range of verticals including media, retail, security, and autonomous driving. Drawing on this experience and expertise, we then set out to build a stand-alone analytics platform for TV advertising called Hive Media. Hive Media synthesizes our company's fundamental technologies and leverages industry partnerships to deliver a truly revolutionary product. Hive offers the only true, full-stack deep learning platform in the world, assisting clients with data labeling, model building, and the development of full enterprise solutions.
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Join Us in Building the Search Engine for Video 🔭
At lookup, we believe the world's most valuable data asset is trapped. Video is everywhere, but it's unsearchable—a black box of insight that no one can open. We’re changing that. We're building the search engine for the visual world, so anyone can find a single moment in a mountain of footage, ask + analyse any video and autonomously take decisions from teaching our machines to watch a video.
Our Mission
To make video as accessible to machines as text and voice are today.
Text is queryable. Voice is transcribed. Video, the largest and richest data source of all, is still a black box. A computer can't understand it, and so its value remains trapped.
Our mission at lookup is to fix this.
When video is truly accessible to machines, it doesn't just mean a person can finally search their archives. It means an entirely new generation of automated workflows, creative tools, and intelligent applications can be built. We are not just building an app; we are building the API for software to see the world!
The lookup Engine: The Core Platform
At its core, lookup is a hardware-agnostic, API-first platform designed to do for unstructured video what a database does for structured data. Our proprietary platform ingests any video feed and transforms it into a rich, structured index. Every element—dialogue, on-screen text, objects, and actions—is cataloged, creating a queryable asset that allows users to ask complex questions about their visual content and receive answers in milliseconds.
Our Launch: "Ask Video Anything"
We published our "Ask Video Anything" engine. This public beta showcased our first-vision understanding, general-purpose model—a multi-modal AI optimized for the core tasks of Content Discovery and Visual Question Answering (VQA).
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