Gencore AI enables businesses to easily and quickly build safe, enterprise-grade generative artificial intelligence (GenAI) systems, copilots and AI agents. It accelerates GenAI adoption in the enterprise by making it easy to build unstructured and structured data + AI pipelines utilizing proprietary enterprise data across hundreds of diverse data systems and applications.

You can utilize any foundation model available in Amazon Bedrock and Amazon SageMaker, including Amazon Titan, Anthropic Claude, Cohere, Meta Llama 2, AI21 Labs, Stability AI, and more.

Organizations can use Gencore AI to quickly and easily build end-to-end safe AI systems, or to provide key building blocks of GenAI projects. Key capabilities include:

1. Build Safe Enterprise AI Copilots Create AI copilots and knowledge systems by combining data from multiple systems in minutes. Automatic enterprise controls, AI usage monitoring, and full provenance tracking ensure safety and transparency.

2. Safely Sync Data to Vector Databases Securely ingest and sync data at scale from various systems. Create custom embeddings with metadata for vector databases, preparing enterprise data for LLM usage.

3. Curate and Sanitize Data for Model Training Easily assemble, cleanse, and sanitize high-quality datasets for AI model training and tuning.

4. Protect AI Interactions The natural language conversation-aware LLM Firewall, protects user prompts, responses and data retrievals in AI systems. The LLM Firewall helps moderate AI interaction to align with enterprise policies, protect against sensitive data leaks, and prevent attacks like prompt injections and jailbreaking instructions.