Safe Gen AI solutions that help customers get the most from their insurance

Typically, information retrieval pipelines start to fail when there are large numbers of complex documents. In applications where an agent may need to access and compare information from hundreds of documents, this becomes a problem. Using cutting-edge approaches, OGII models are able to retrieve information from large collections of documents, such as policy wordings, without loss of accuracy. With these approaches, we significantly outperform mainstream models.

Insurance Companion moves beyond the black box approach used by most AI providers. Every output of an OGII model is auditable and explainable, allowing each response to be traced back to the evidence and reasoning that produced it.

Using mechanistic interpretability, the same state-of-the-art techniques applied in healthcare AI, we can identify which parts of the model were activated during generation, and link those activations to verified source material. This creates a transparent chain of reasoning for every interaction, ensuring each response in each conversation can be inspected, validated, and trusted.

One of the biggest concerns when deploying LLMs is the risk that hallucinations will result in customers being provided incorrect information. All OGII models are deployed with automatic hallucination detection, so incorrect information is systematically detected and blocked by our guardrails, and never published.