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Simbo
Enterprise Gen AI Platform for Autonomous Applications

What is Simbo?

Simbo is an enterprise-grade Generative AI platform built for automating business processes without requiring human intervention. It leverages a unique combination of Large Language Models (LLMs) and symbolic knowledge bases, providing a hallucination-free environment for critical enterprise applications.

The platform's core technology, Symbolic RAG (Retrieval Augmented Generation), utilizes a proprietary Lossless NLU to ensure reliability and accuracy. This approach offers a significant advantage in industries like healthcare, where precision and trustworthiness are paramount. Simbo prioritizes security in its design, ensuring data protection and confidentiality.

Features

  • Hallucination-free: Allows fact-checking to ensure that hallucinations can be detected and corrected.
  • Fully controllable: Responses from Gen AI are fully controllable ensuring Gen AI does not go loose.
  • Consistency: Balances creativity vs hallucinations to ensure that Gen AI responses are not random.
  • Secure: Security is at the center of the design from day 1.
  • Auditable knowledge base: Platform uses symbolic knowledge base which can be audited and modified by humans unlike opaque vector databases.
  • Responsible AI: Allows fact checking to ensure that hallucinations can be detected and corrected.
  • Symbolic Knowledge Base: Human readable, auditable, and editable knowledge base. Easily detect anomalies and correct them.
  • Knowledge normalization: Normalizes all facts which are typically scattered across multiple documents.
  • Exact search: Uses a combination of symbolic knowledge and vector database. It can perform both exact and similarity search for retrieving context.
  • Fact checking: Supports fact-checking to ensure that generated response is hallucination-free.

Use Cases

  • Medical practice automation
  • Business process automation

Related Tools:

Blogs:

  • Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Most AI note-taking lists are really lists of meeting bots, which join your video call and transcribe it. That's useful, but it's half the picture. Decisions happen in hallway conversations, client dinners, on-site visits, and hybrid rooms where nobody is on a video link. This guide covers different parts of the note-taking workflow: hardware capture for in-person settings, platform-native tools for online calls, and AI layers for organizing and synthesizing what you've captured. It compares six tools by capture context, workflow fit, pricing, and limitations.

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