The Challenge
Generative AI language models are trained on public domain knowledge. Your organization's people, problems, products, services, facts, and opinions aren't part of the model's thinking - either because you keep them private or because they weren't deemed important enough to include.
You can fix this by giving the AI access to a knowledge graph built from your own facts and data.
Engineered for Trustworthiness
A Generative AI agent must earn your trust and the trust of your customers before you can deploy it safely. We give you the tools to combine Generative AI with a comprehensive governance framework:
- Subject Matter Constraints — The knowledge graph constrains the language model to your specific subject matter, eliminating the need to hallucinate
- Bookend Governance — Controls applied both before AND after the model monitors compliance, handles PII, manages prompts and outputs
- Comprehensive Records — Full audit trail for tuning and compliance
- Tone and Style Control — Instruction and validation for consistent brand voice
Pre-loaded Knowledge Framework
Your knowledge graph comes pre-loaded with more than 80,000 common concepts and already understands more than one million English words. This comprehensive framework makes it possible for Beth to work directly with ChatGPT and other Language Models in ways that simple indexing can't match.
Multi-Channel Deployment
We'll provide out-of-the-box integration with the channels your customers and team already use: Slack, Teams, Messenger, Instagram, WhatsApp, Telegram, and Discord. You can also embed a chat widget on your own sites.