Rainbird Co-Author turns Large Language Models (LLMs) into trustworthy AI
Leverage the power of LLMs to create Neurosymbolic AI models that are explainable, reliable, traceable and noise-free.
Rainbird leverages extended knowledge graphs to automate decision-making with trust and explainability baked-in.
Introducing Rainbird Co-Author, powered by LLMs
Everyone is looking for ways to leverage the power of Large Language Models (LLMs) like GPT-4 safely.
LLMs are powerful at creating predictive output, but very challenging to deploy in the enterprise. They are not in your control, are prone to hallucinating, and outcomes are not explainable (sometimes known as the “black box” problem).
You cannot safely delegate decision-making to LLMs.
But with Rainbird you can leverage the power of LLMs with confidence. Co-Author uses the power of LLMs to turn your existing unstructured documentation into “glass box” AI models. These can then be further refined by experts and data.
Unlike LLMs, Rainbird models can provide a full chain of reasoning to explain every decision they make.
Rainbird Co-Author provides your business with the ability to process natural language to build trusted models that can save time and money, increase efficiency, and improve outcomes.
The Rainbird approach is suitable for automating decision-intensive processes in critical and regulated environments.
Transform Complex Reasoning into Deterministic AI at Speed and Scale
In a world demanding AI outcomes that can be justified, Rainbird stands as the most advanced trust layer for the AI era. When high-stakes applications need AI guardrails, come to us.