AI TOOL PROFILE

Aekyam AI Orchestration and Integration Platform

Aekyam helps mid-market and enterprise companies coordinate data and apps through a unified orchestration layer. It is designed for teams that need to connect legacy systems with AI agents.

Pricing

Paid plans include Standard, Professional, Enterprise, and custom Flexi tiers. Limits are based on the number of integrations and monthly transaction volumes, which range from 60M to 240M depending on the tier.

At a glance

Best for
Mid-market companies, Enterprise companies, E-commerce businesses, Supply chain operations managers
Key use cases
Supply Chain Coordination, Seller Onboarding, Inventory Data Management, AI Agent Deployment
Visit aekyamaekyam software interface screenshot

How AI is used

Aekyam is an AI orchestration platform and integration platform as a service (iPaaS) designed to unify applications, data sources, and AI agents. It provides a visual environment for building workflows and connecting enterprise knowledge to large language models (LLMs) using Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and vector embeddings.

The platform is designed for users ranging from startups to large enterprises, particularly in sectors such as e-commerce, healthcare, and supply chain management. It supports deployment via cloud, on-premises, or hybrid environments, which may be helpful for businesses with specific data residency or security requirements.

Buyers can use the platform to automate tasks and manage data flows between systems. Because the platform offers different tiers based on integration counts and transaction volumes, buyers should confirm their monthly data throughput to determine the appropriate plan.

Key Features

  • Drag-and-drop Orchestration

    A low-code visual interface for designing and managing integration workflows.

  • Payload Lifecycle Traceability

    Provides visibility into data payloads with the ability to reprocess or replay data from the point of failure.

  • AI Orchestration Capabilities

    Supports Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and vector embeddings to connect enterprise data to LLMs.

  • Integration Marketplace

    Provides pre-built application adapters to help connect different business systems.

  • Hybrid Deployment Options

    Supports installation across cloud, on-premises, or hybrid-cloud environments.

  • Monitoring and Analytics

    Includes pre-built dashboards for tracking application health and workflow performance.

Use Cases

  • Supply Chain Coordination

    Synchronizing systems, partners, and workflows to create a unified network.

  • Seller Onboarding

    Using orchestration to support the process of bringing new sellers into a retail ecosystem.

  • Inventory Data Management

    Connecting warehouse and order management systems to support inventory tracking.

  • AI Agent Deployment

    Deploying AI bots that can perform specific tasks by accessing enterprise data through RAG.

FAQ

What is Aekyam used for?

Aekyam is used to connect business applications, data sources, and AI agents into a unified system to support automated workflows and data visibility.

Does Aekyam support on-premises deployment?

Yes, Aekyam can be deployed in the cloud, on-premises, or in hybrid environments.

Which pricing plan is required for AI features?

Buyers needing AI capabilities should consider the Professional, Enterprise, or Flexi plans, as these features are not included in the Standard plan.

What are the transaction limits on Aekyam plans?

Transaction limits vary by tier: the Standard plan supports up to 60M per month, Professional up to 120M, and Enterprise up to 240M.

Source category: Software Development

Source subcategory: AI Development Platform

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