DynaLoader™ is a comprehensive system for the acquisition, absorption and curation of large datasets integrated with near real-time data analytics. Our data enrichment engine is composed of numerous curation subsystems designed to accommodate a wide range of both structured and unstructured data sources.
A powerful distributed compute cluster boosts neural network calculating power to inspect, curate and analyze information as it is collected.
Powered by a game changing data collection engine flexible enough to accommodate a wide range of both structured and unstructured data sources.
Designed to scale in a distributed framework leveraging a semi-autonomous resource manager to handle massive jobs.
DynaLoader is collecting a huge amount of information in real-time—with the current capability of scaling to over 15,700 newspapers from around the world, as well as the most popular social media platforms such as Facebook, Twitter, Reddit, LinkedIn and more. The curation process not only organizes the content but also rank orders/prioritizes the most relevant information from all the available open source websites.
DeepBD’s Artificial Intelligence components are fed by a cutting-edge accumulation engine powering intelligent collection nodes. As depicted in the graphic, data ingestion relies on a modular system that collects information from various sources to include social media, blogs, databases, RSS feeds and document stores. Information is then fed through several AI systems for curation and delivery to the user.
DynaLoader represents the integrated engine powering our software. Its proprietary architecture leverages distributed compute clusters to remove physical computational expense when scaling. The entire infrastructure is virtualized, allowing us to abstract processing power needed for advanced analysis. This capability allows us to inspect, curate and analyze vast amounts of data while it is being collected.