AI Agent Lifecycle (1)

Create, orchestrate and govern intelligent applications

Manage the AI agents lifecycle as an integral element of the platform experience.

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Why rely on end-to-end AI agent lifecycle management?

Integrate Artificial Intelligence into end-user solutions to build intelligent and context-aware applications.

Faster time-to-market

Make AI readily available to users, allowing tech teams to deploy AI-powered solutions instantly.

Simpler integrations

Enable to integrate AI with the needed data model and existing modern and legacy systems.

Data security and privacy

Ensure sovereignity of data when interacting with the LLM provider.

Reliable context

Ensure that AI con process the right contextual data.

RAG APPLICATIONS

Extend AI-powered capabilities to your services

Enhance LLM outputs with relevant external knowledge from structured and unstructured data sources.

RAG APPLICATIONS (1)

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Data Governance (metadata) (1)

AI-READY DATA COMPLIANCE

Built-in compliance, from data to deployment

Ensures that data used for AI model training, fine-tuning, and inference adheres to privacy regulations, security standards, and ethical AI guidelines.

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Multi-agent system

MULTI-AGENT SYSTEM

Extend impact with coordinated AI agents

Enable multiple AI agents to collaborate, delegate tasks, and communicate autonomously.

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AI AGENT ORCHESTRATION

Control and monitor every AI agent in motion

Enable the coordination, execution, and monitoring of AI agents performing complex tasks in distributed workflows.

AI agent orchestration (2)

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Enrich the AI agent lifecycle management

Centralized control for smarter AI operations

A centralized control plane for managing, securing, and optimizing AI model interactions.

Private infrastructure, powerful AI

Deploy and run your own large language models on your private infrastructure.

Unified access to the models that matter

Provide unified interfaces to interact out-of-the-box with the leading foundation models (FMs) on the market.

Ready to take control of your agents?

From chaos to control, see what streamlined agent management looks like.