Knowledgator Engineering
London
About Knowledgator Engineering
Organizations generate vast amounts of textual data from diverse sources’ranging from legal contracts and technical manuals to customer interactions. The complexity escalates when considering the broader market-generated data. At Knowledgator, we simplify this challenge by offering end-to-end information extraction solutions to manage and expand users' knowledge assets. The system is equipped with zero-shot Named Entity Recognition, Entity Linking, Relation Extraction, multi-label Text Classification with probability scoring, and, importantly, tabular information extraction technologies that together cover 100% of any information extraction pipeline. Our models are based on a combination of statistical and symbolic approaches that allow us to achieve good generalization while bringing explainability and control to the outputs that are so hard to ensure using popular Generative AI approaches. It’s especially important for industries such as pharma, biotech or healthcare. Users can use default model API╩╝s with +85% precision or efficiently fine-tune them to achieve 95% and integrate our NLP solutions into their data pipelines. These APIs seamlessly integrate into your existing data pipelines, filling any gaps in your workflow. Plus, our platform's flexibility allows you to customize your own pipeline by combining different building blocks.
Company Facts
- Operating status: Active
- Company type: For Profit
- IPO status: Private
- Employees: 1 – 10
- Estimated revenue: $1K – $10K
- Total funding: $131.7K
- Last round: Undisclosed (May 2025)
- Website: knowledgator.com
- Phone: [email protected]
Industries & Categories
Analytics, Artificial Intelligence (AI), Data Integration, Knowledge Management, Machine Learning
Social Profiles
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