METIS

AI you can trust, powered by semantics

Grounding AI with semantic technologies enables you to leverage AI for your business while ensuring security, explainability and trustworthiness.

Drive informed decisions by mitigating bias in GenAI

GenAI is only as neutral as the data it was trained on. LLMs are subject to reflect societal, cultural and statistical biases naturally found in data, resulting in skewed insights and an inability to provide reasoning behind its conclusions. GenAI grounded in semantics scopes your data to return an answer based not just on probability, but on relevancy, so any insights or outputs accurately reflect your business values and goals.

Generate AI results grounded in enterprise context

Context enables AI to move beyond assumptions and guesswork. When business semantics and enterprise-specific context is missing from your AI, it can be prone to hallucinations, misleading and incomplete information. The semantic layer bridges AI with your enterprise data and domain knowledge—meaning AI agents will be specifically tailored to your unique enterprise goals. 

Combine GenAI and enterprise data safely and securely

With the right guardrails, GenAI can be a powerful assistant without compromising data integrity. Private LLMs can prevent full exposure of user data, but can’t promise security when it comes to other data privacy concerns. Knowledge-driven AI scopes what data is used, and smartly addresses enterprise regulatory and compliance requirements.

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Enhance automation & boost efficiency for repetitive tasks
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Accelerate access to internal insights & drive innovation
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Improve customer & user experience
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Drive sustainable growth and competitive differentiation

Your benefits with metis

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Deliver instant value through intuitive interaction

Chat with your enterprise data via a natural conversational interface

Provide answers with the context and format you need e.g., in tables, charts and other visual formats—rather than just plain text

Make AI and knowledge accessible to everyone in the organization with an easy-to-use platform

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Build trust through transparency & explainability

Prevent AI hallucinations with explicit knowledge grounding from your semantic layer

Show how answers were generated using explainable AI

Validate and correct results with a built-in quality control framework

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Stay compliant with enterprise-grade privacy & control

Control data access with semantic models that enforce governance

Meet compliance requirements like GDPR, by tracking how data is used and processed

Protect sensitive data with detailed access controls for AI systems

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Reduce bias with context-aware AI

Guide AI using enterprise-specific semantics and scope

Minimize bias by aligning answers with specific business language

Promote fairness with transparent and accountable AI behavior

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Unify and unlock your enterprise data landscape

Make internal knowledge and its semantics accessible via natural language

Combine enterprise and public data into one contextual knowledge graph

Ensure AI draws from the right information sources at all times

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Extend AI with tailored, future-proof integration

Connect metis with existing AI frameworks and enterprise tools

Create tailored solutions using your in-house knowledge management solutions

Adapt seamlessly to your current tech stack and strategic goals

Behind the scenes

Bridging enterprise data silos with trusted, knowledge-driven AI

The metis platform brings together the strengths of large language models (LLMs) and knowledge graphs to deliver enterprise-ready AI agents that combine generative power with semantic precision and return explainable, trustworthy & contextual insights.

At the heart of metis lies a semantic model—the trust and context layer that informs and scopes every AI interaction. This model acts as a guide for your agents, ensuring that AI results are not only relevant, but also explainable and aligned with enterprise semantics.

How it works:

  • Users interact with AI agents to garner insights, build new semantic models, and more through a conversational interface—no technical expertise required.

  • AI agents interpret user intent, select the right combination of tools, and execute tasks such as query generation, summarization, entity linking and more.

  • Each tool is orchestrated in real time and guided by the semantic model, which scopes what the AI sees and how it behaves—ensuring traceability and domain relevance.

  • A built-in quality control framework can be used to validate and correct answers and supports continuous improvement of the agents.

  • Pre-defined agents & services provide assistance for tasks such as semantic modeling or vocabulary mapping

  • An Agent Registry manages both preconfigured and custom agents. New agents can be created by combining specific tools, semantic models and LLM choices.

With metis, you move from scattered data and generic AI to a solution that’s semantically grounded, trusted and ready to deliver business value.

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Try it yourself!

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