AI Research
AI First
We continuously invest in our research and development. It is part of our background and continues to be key to our story. We believe a great product sells itself.
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We continuously evaluate how to improve our clients' ability to easily curate their data by solving really hard problems in engineering and AI. We are proud to drive new innovations in data curation and data management.
R&D Partner:
Multi-type Entity Resolution: The answer to automated knowledge graph building
Typically, entity resolution platforms concentrate on matching and merging of individuals or companies by utilizing attributes from other real-world objects such as addresses or phones. This process involves using advanced parsers and cleansers or generating various keys from the same underlying information.
At Knights Analytics, we approach each entity as a unique resolution problem, enabling us to customize models based on your data concepts. This allows a new level of accuracy, but also makes it super resilient to new concepts it's never tried before.
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Our framework supports matching and merging events in the news, product, supply chain or marketing information, or any other concepts in your data. Specializing in disambiguating information in unstructured data like images, video, or text, Alchemia lends itself to be used for new types of data and new use cases.
Focus
Concept Resolution
Match and Merge concepts across data and systems.
Graph Neural Networks
Leverage graph structures for AI resolution.
Program Synthesis
Generate programs with machine learning and AI.
