We use a unique approach called transfer learning — leveraging our library of 500 million labeled examples to reduce training data requirements by 90% or more.
We custom-build deep-learning neural networks around your business’s unique use case — along with tried-and-true models for common tasks like sentiment analysis.
Our dedication to ongoing enhancement and self-driven learning ensures that every use of our models delivers ongoing performance improvement.
RESTful APIs make deployment easy for developers — without any need for costly mass migration. We can even provide self-hosted solutions via Docker containers.
Let’s talk about how Affinda can streamline your document workflows.