Gencore AI is an enterprise-grade generative AI platform that transforms and governs data (structured and unstructured) to enable secure, compliant, and scalable AI applications. Designed to accelerate AI adoption in enterprises, Gencore AI ensures safe integration of proprietary data into AI pipelines using advanced governance, curation, and policy enforcement mechanisms.

Features of Gencore AI:

• Transforms enterprise data into AI-ready formats, including vector embeddings with metadata.
• Supports building secure AI copilots and intelligent search systems (RAG-based) from proprietary data sources.
• Enables semantic enrichment, policy-aware data curation, and federated access control.
• Integrates with large language models (LLMs) while enforcing context-aware controls and safety measures.
• Built on a knowledge graph (Data Command Graph) for full data lineage, traceability, and compliance.
• Compatible with AI frameworks like Hugging Face, vector databases, and enterprise systems via APIs.

To check the installed version of Gencore AI components (if available via Python), run:

$ conda create -n gencore-env -c conda-forge -c bioconda gencore
 $ conda activate gencore-env
 $ gencore --version

Disclaimer: Gencore AI is an advanced enterprise product developed by Securiti. Deployment requires proper configuration, licensing, and integration with enterprise infrastructure. Refer to official documentation and support for installation, usage, and security practices. Ensure responsible use in accordance with data privacy and AI governance standards.