Ekyam AI is an artificial intelligence company focused on the retail sector. Its mission is to revolutionize the retail industry by providing an AI-powered middleware solution that seamlessly integrates disparate retail platforms such as ERP, WMS, OMS, POS, and e-commerce systems. Ekyam AI aims to break down technology silos, enabling a smooth flow of inventory information and providing retailers with a real-time, unified view of their inventory.
The company’s primary goal is to enhance operational efficiency and profitability for retailers of all sizes. Ekyam AI strives to achieve this by offering a cost-effective, scalable, and user-friendly platform that eliminates the need for extensive software engineering teams or expensive custom middleware. By providing tools for real-time inventory insights and advanced order routing, the company helps businesses reduce costs, make informed decisions, and drive sustainable growth. A key objective is to accelerate retailers’ readiness for AI-driven operations in areas like merchandising, planning, and fulfillment.
Ekyam AI has positioned itself as a transformative solution for the complex data challenges within the retail ecosystem. The company is backed by venture capital and is focused on enterprise players in the retail industry, particularly those with complex operations due to multiple brands, channels, or acquisitions. Its market approach emphasizes reducing the time and complexity of system integrations, thereby lowering the total cost of ownership for its clients.
Offerings, Capabilities, and Integrations
Ekyam AI provides an AI-native middleware platform designed specifically for the retail sector to unify disparate technology stacks with semantic clarity. The company’s core offering is AI-powered data orchestration and integrity solutions that connect systems such as e-commerce platforms, point-of-sale (POS), warehouse management systems (WMS), and enterprise resource planning (ERP). This creates a singular, AI-ready data foundation that provides real-time visibility into aspects like inventory and orders. Ekyam’s competitive edge lies in its use of a retail-specific knowledge graph and a universal connector, which facilitates faster, no-code integrations compared to traditional, resource-intensive methods. By transforming fragmented data into a clean, queryable, and context-rich format, Ekyam enables retailers to automate processes, gain actionable insights, and reduce operational overhead. The platform features over 100 plug-and-play connectors for seamless integration with a wide range of systems, including ERPs, e-commerce platforms, and 3PLs.
Products and Services
Ekyam AI’s offerings are centered around its AI-powered integration platform, which serves as a fully managed middleware solution for retailers. The platform’s key components and services include:
- Ekyam Universal Connector: A versatile component that enables no-code integration with various retail systems by supporting all common protocols and formats, such as APIs, FTP, and EDI.
- Retail Knowledge Graph (RKG): This is a graph database that models retail entities and their relationships—like products, vendors, and locations—to establish a single source of truth for data.
- AI Agents: Ekyam offers a library of autonomous, intelligent agents that handle complex retail operations. These agents can automate tasks related to inventory management, order fulfillment, pricing, and promotions without human intervention.
- AI-Powered EDI: An Electronic Data Integration add-on simplifies the process of connecting with major retailers like Amazon, Walmart, and Costco, accelerating time-to-market for sellers.
- Order Routing System: This service provides real-time tracking and dynamic routing of orders to optimize fulfillment processes, supporting capabilities like Buy Online, Ship to Store (BOSS) and Buy Online, Pick up in Store (BOPIS).
- Product GPT (Beta): A new feature that allows users to ask operational questions in natural language and receive instant, actionable answers derived from their own contextualized data.
Target Customers
Ekyam AI primarily targets enterprise-level players within the retail ecosystem. These customers are typically modern omnichannel retailers and CPG brands that operate with complex technological infrastructures, often including multiple ERPs and third-party logistics providers. Such companies frequently face challenges with “tech debt” accumulated through rapid growth, acquisitions, or expansion. Ekyam’s platform is designed to solve the expensive hidden problems in retail that arise from systems not communicating with each other, leading to issues like overselling or underselling inventory. By unifying these fragmented systems, Ekyam helps retailers eliminate data silos, reduce manual data reconciliation, and improve operational efficiency. This allows business teams to focus on growth and enhancing the customer experience rather than managing complex integration issues. While its focus is on enterprise clients, the company also extends its solutions to non-enterprise-sized retailers facing similar integration and data management pain points.
Cloud Integrations and Marketplaces
Ekyam AI offers a range of integrations through its universal connector, designed to unify various retail technology systems. The company’s platform is engineered to seamlessly connect with Enterprise Resource Planning (ERP), Order Management Systems (OMS), Warehouse Management Systems (WMS), Point of Sale (POS), and e-commerce systems.
Ekyam AI has a presence on the Google Cloud Marketplace.
- Google Cloud Marketplace: Ekyam AI’s Retail Intelligence Operating System (riOS) is available on the Google Cloud Marketplace. This offering allows customers to deploy Ekyam’s unified data platform on Google Cloud’s infrastructure. The platform is designed to consolidate siloed data, standardize it, and prepare it for AI applications.
Ekyam AI’s website lists over 100 plug-and-play connectors across several categories. These integrations facilitate the connection of a retailer’s technology stack without requiring custom code. The categories of integrations include:
- E-Commerce: Integrations with platforms such as Shopify, WooCommerce, Magento, and BigCommerce.
- ERP: Connectors for systems like NetSuite, Dynamics 365, Sage, and SAP S/4HANA.
- 3PL & Warehousing: Connections to providers including ShipBob, Ryder, and Manhattan WMS.
- OMS & Order Management: Integrations with systems like Manhattan OMS and FluentCommerce.
- CRM & Marketing: Connections to Salesforce CRM, HubSpot, and Klaviyo.
- Marketplaces: Integrations with Amazon and eBay.
There is no indication that Ekyam AI is available on the AWS Marketplace or the Microsoft Azure Marketplace.
Key People
- Co-Founder + CEO: Mariah Chase
- Founder + CTO: Abi Sachdeva
- Project Manager: Nitin Sharma
- Back End Engineer: Jaspal Singh
- HR: Manpriya Kaur
- EDI Product Head: Darshan Patel
- Sr.Devop’s Engineer: Harpreet Batth
- Database Specialist: Sahil Manhotra
- Web Development-FE: Satnampreet Singh
- Web Development-FE: Ujjwal Goyal
- Kafka Specialist: Simarpreet Singh
- UI/UX Designer: Rachit Singh
Key Facts
- Headquarters: New York, NY.
- Number of Employees: 2-10
- Annual Revenue: Less than $5M
- Parent Company: None
- Subsidiary Companies: None
- Publicly Listed: No.
Analyst Recognition
There is no information available to indicate that Ekyam AI is included in any technology categories by Gartner, Forrester, IDC, or Everest Group.
