Gen AI applications have special security and governance requirements.

Your Gen AI innovation may be at risk. Applications such as chatbots, voice-bots and agentic apps relying on the use of Generative AI are subject to Federal and State regulations relating to security & bias. If you are deploying Gen AI without a quantified transaction-risk score, your app may be failing to meet new standards.

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AI Trust Score

AI Trust Score

The AI Trust Score provides developers with a quantifiable trust level for all responses from the Cognitive layer including the LLM. These scores are assigned 0-1000 with higher being more trustworthy scores.

Cloud-Agnostic

Cloud Agnostic

The Tumeryk SDK works on all cloud platforms as well as on premises.

LLM and Framework

LLM and Framework Support

Azure, Open AI, Amazon Bedrock, Anthropic, Hugging Face, Google Vertex AI, and LangChain.

Role-based

Role-based Protection

Each application is assigned a role with specific policies that may restrict access to content and topics.

RAG Architecture Agnostic

RAG Architecture Agnostic

The Tumeryk SDK is agnostic to the specifics of RAG architectures. It enables out-the-box deployments that work with RAG.

Pre-built Policy Catalog

Pre-built Policy Catalog

The Tumeryk SDK works with a set of pre-built policies that are available for many common safeguards.

Custom Policy

Custom Policy Support

Tumeryk also supports creation of custom policies through its powerful policy language. Policies can be tailored to satisfy compliance requirements.

Language Support

Language Support

Python SDK; Rest API