AEL Studio™

Next-generation AI platform with AI Mesh architecture. Multi-model hosting, data management, API compatibility, and full observability for enterprise AI.

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AI Mesh – model architecture

Modern industry's need for scalable, secure, and flexible AI solutions requires a new model architecture: AI Mesh.

Why a Mesh Architecture?

Traditional architectures run AI as isolated services. A mesh approach lets agents collaborate, share context, and handle complex workflows that span multiple systems.

AI Mesh enables multiple specialised AI agents collaborate through shared memory, orchestration protocols and controlled tool access to solve complex tasks more reliably, transparently and at scale.

Inspired by principles from multi-agent systems and modern orchestration standards such as Model Context Protocol (MCP), an AI Mesh enables autonomous reasoning, secure agent–agent coordination and robust execution across heterogeneous environments.

Key benefits

Agents can call other agents as tools
Shared memory enables continuity across sessions
Central governance applies across all agents
Unified logging and monitoring

AEL Studio™ - Architecture

AEL Studio™ adopts a modular, containerized architecture centred on LLM orchestration, data persistence, and API exposure. It integrates embedded LLMs with Kernel Memory for semantic search and retrieval, enabling agentic workflows where agents reason, plan, and invoke tools dynamically.

Key Features

Open Source based platform 100% compatible with Open AI protocols.

Rich model library with leading Open Source LLM/SLM, special tunings and routing rules.

Ready-made connectors to other systems - fast and easy integrations.

Multi-agent and multi-step reasoning (MCP) for advanced workflows.

Low-code / No-code agent design for business users.

Guardrail driven accuracy and precision - minimal hallucinations.

Full transparency and traceability with standardized monitoring.

Ready to install in Kubernetes / Docker container architecture.

Can be operated 100% in private cloud or on-prem.

Key Platform Capabilities

AEL Studio™ is a complete platform for building, orchestrating, and deploying AI solutions on-premise or in a private cloud. The platform includes agent builders, integration engines, orchestration, data warehouses, vector-based memory, real-time execution, and full DevOps support.

Multi-model hosting

Embed and manage models with customizable parameters for context size, tokenization, and function calling.

Data management

Kernel Memory for ingesting, indexing, and retrieving data, supporting RAG workflows.

API Compatibility

OpenAI-standard endpoints for seamless integration with existing tools and agents.

Integrations

Connect to ERP, e-commerce, support systems, and other tools through APIs and standard connectors.

Orchestration

Multi-agent and multi-step reasoning (MCP) - enables advanced workflows and fast response times.

Observability

Systems monitored with embedded tools or through Open Telemetry for integration to other operational monitoring systems.