We leverage machine learning technology to perform named-entity recognition (NER) tailored to your company's specific needs.  Whether it's for data entry, content summary, or recommendation systems, we can help speed up your workflow by automating the cumbersome process of extracting data from unstructured content.

We will help you to identify the best AI classification methods for your specific business needs, ensuring seamless integration with your existing systems. An AI-based solution can help you categorize and analyze data to gain valuable insights and make informed decisions.

The latest advances in agentic and data-aware extensions to large language models like GPT-4 allow us to develop or enhance applications with natural language user interfaces.  Allow your users to ask natural language questions to query a database or call an api. Contact us to explore how you can leverage this technology to change the way that users interact with your applications.

Large language models are notoriously fickle and currently prone to "hallucination" when not appropriately constrained.  Developing prompts that encourage LLMs to generate effective and efficient responses to user questions is an art, not a science.  We can bring our experience with LLMs to the task.

The ability to train a large language model for a specific language-related task is a core feature of the latest LLM development platforms.  Again, though, there is an art to effective training.  Contact us to leverage our experience training productive and efficient models.