NeuralSeek makes Generative AI low touch, easy to use, and helps businesses take their use cases and solutions from idea, to proof of concept, to market fast. A no-code platform with point and click setup, including governance and guardrails for leveraging Large Language Models (LLMs) against your specific Corporate KnowledgeBase, puts humans in the loop at scale. Businesses get detailed Answer Provenance, Semantic Match Scoring, Enterprise Observability, and visible proof that LLM hallucination, misinformation, and Personal Identifiable Information (PII) being trained or leaked by an LLM can be prevented from ever happening.

NeuralSeek includes mAIstro - the #1 platform for Retrieval Augmented Generation (RAG) that allows businesses to create and run fully customized RAG-based Generative AI prompts, based on their custom corpus of knowledge, without code.

NeuralSeek also drastically reduces the time, cost, and effort with building and maintaining a Generative AI-backed Virtual Agent. It auto-builds and updates content into Azure AI Bot and Power Virtual Agents, plus AWS Lex, Cognigy, Kore.ai, and IBM watsonx Assistant. It maintains answer-to-source mapping and will alert you when curated answers become outdated, prompting you to fix those automatically. In addition, advanced analytics highlight content areas that need improvement, based on relevancy scoring from user questions.

Businesses looking to drive efficiency with Generative AI-backed Virtual Agents, that also need to guarantee factual data accuracy and contextual relevance, use NeuralSeek. Projects that are external customer facing or internal employee focused benefit from NeuralSeek's perpetual data cleansing, updating, and validated accuracy. This eliminates inaccurate data risk while driving the growth and efficiency in using Generative AI to manage customer interactions and employee access to Corporate KnowledgeBases.