The Generative AI workbench. Harness Open-Source and Proprietary LLMs securely with integrated vector databases, guardrails, and compliance logs.
Prism streamlines the path from LLM prototyping to secure production deployments. Evaluate model performance (Llama 3, OpenAI, Anthropic) under one interface. Build Retrieval-Augmented Generation (RAG) datasets, run automated evaluations to score hallucination risk, and establish dynamic semantic firewalls.
Enterprise compliance is coded into Prism. Define content guardrails to intercept toxic inputs, hide sensitive PII automatically before forwarding queries to external API clouds, and record full token history to track compute budget limits.
Scale AI assistance confidently with automated test benches, RAG indexes, and system firewalls.
Version, test, and A/B test system prompts. Compare token usage, accuracy metrics, and latency across providers.
Connect vector storage structures in one click. Feed PDF documents, guides, and intranet articles directly into model prompts.
Intercept unsafe inputs, detect fraud queries, and filter proprietary company information from leaking to public APIs.
Set up a trial developer sandbox container. Evaluate prompt versioning and RAG capabilities with sample database connectors and free credits for testing.