Buffaly helps you integrate Large Language Models (LLMs) with your software systems to create safe AI Agents.
LLMs, or llamas, are very helpful but they have a tendency to hallucinate. Go kind of crazy. Reply with things unrelated to the prompt asked.
You don’t want that in your business, or your software systems. That’s why Buffaly exists.
We are not deploying chatbots or a string of ifs. Buffaly provides you with AI agents that will leverage LLMs like ChatGPT or Gemini for your business applications, but will intelligently filter out the nonsense so that your business can perform at a bigger scale.
Buffaly is easily extensible and customizable. Unlike the LLMs, it’s trivial to add new information to the model at any point. We can extend the model using ProtoScript or Language.
You PROGRAM Buffaly.
You PLEAD with a LLM.
Buffaly is understandable. We can crack it open and see exactly why it interprets language the way it does (and fix it).
Buffaly is extensible. We can add new meaning and new understanding at any time. The system can even help modify itself.
Finally, Buffaly is customizable. It’s completely possible to define entities, actions, and meaning that are only meaningful to a particular domain or business.
Buffaly gives your company the tools necessary to perform like a much bigger business. Giving you the competitive edge to go toe-to-toe with larger players in your industry.
Retrieval Augmented Generation (RAG) combines retrieval methods with generative AI to improve outputs by using relevant data from large datasets. Instead of relying only on pre-existing knowledge, R.A.G dynamically fetches external information for more accurate and relevant responses.
Think of it as a smart assistant that looks up information in a large library before answering your question, ensuring more precise answers.
Buffaly presents Ontology-Assisted Retrieval Augmented Generation (oRAG™), a cutting-edge solution that tackles data retrieval, security, and relevance issues. By integrating ontology-based systems, this approach enables businesses to fully leverage their internal data while ensuring accuracy, security, and scalability.
Simply put, RAG solutions run the risk of exposing your entire environment to the internet. If you’re using ChatGPT, that means your data is running through OpenAI’s cloud before any information you requested is returned to you.
Additionally:
Buffaly’s OGAR™ exists within your environment. There is no data exit. Your data is queried locally, processed locally, and the reports are generated on-site. Buffaly uses your security settings to control data access, preventing unauthorized exposure.
Additionally:
LLM
Buffaly
Understands Language
Yes
Yes
Generates Convincing Text
Yes
Yes
Costs Millions to Train
Yes
Yes
Can Answer Questions About Everything
Yes
Yes
Easily Understandable
No
Yes
Can Be Modified and Extended
No
Yes
Adapts to Each Business
No
Yes
Easy to Program
No
Yes
Easy to Integrate
No
Yes
Predicted
No
Yes
Buffaly, as Nurse Amy, aids in remote patient monitoring by reminding readings, troubleshooting devices, and ensuring HIPAA compliance, while seamlessly interfacing with databases and APIs.
LEARN MORE
Aaron David automates sales by managing leads, emails, quotes, and shipments, and escalates issues to humans. It handles most contact points and low-revenue orders, allowing humans to focus on high-revenue tasks.
LEARN MORE
Buffaly creates custom AI agents to automate tasks, boost efficiency, and improve customer interactions, integrating seamlessly with your systems.
