NeuralSeek

The world's best no-code Agentic platform. From RAG to multi-agent generative AI systems with native Governance.

NeuralSeek completely automates Retrieval Augmented Generation (RAG) usecases, backed by business-friendly no-code agents.

NeuralSeek's mAIstro platform lets business users quickly build complex LLM-backed processes with greater scalability than hardcoding in python, and without knowing any code.

Industry Leading Retrieval Augmented Generation

Strong Corporate Controls, human in the loop.

Automatic Virtual Agent Builder

Automatically create & monitor conversations into leading Virtual Agent platforms.

Protection from Prompt Injection and harmful content

Automatically cleanse and protect against malicious user input

Full RAG Governance - Executive-level and SME dashboards to monitor answer generation, system performance, content insights and configuration churn

Integrated versioning controls

Category and Intent-level control

Set confidence thresholds, custom responses and fallbacks per category.

Automatically prompt-tune LLM’s at the intent level

Automatic Content Cleansing

Preprocess complex embedded tables

Cross-language / automatic Translation

Answer questions in languages other than the documentation

Corporate Logging - Log all actions for corporate audit & compliance.

Answer Provenance & Hallucination detection / removal

Trace answers directly to source documents

Semantic Analysis helps users understand the confidence of answers
and eliminate hallucination

PII Detection / Removal

Flag, Mask, Hide, or Delete PII on user input.

Dynamic Personalization

Leverage SSO or user data to tailor responses specifically to users.

Integrate structured & unstructured data across endless sources.

Create scalable LLM-backed processes in seconds.

Generate files and documents, create synthetic data

Connect to REST endpoints, automatically send Email

60+ prebuilt functions to snap together in limitless ways

Connects to your Watson Assistant and dozens of different knowledge bases to instantly streamline RAG implementations

Questions and Answers are indexed and cataloged, allowing you to select the best and automatically generate a WA load file to add them.

Add human in the loop control and instant swapability between LLM's without any retooling.