Mia provides an AI‑driven platform that ingests CAD, BIM, ERP, and supplier data, converting it into a searchable knowledge graph. Its workflow engine automates data enrichment, catalog creation, and inventory synchronization through rule‑based and generative AI, exposing results via APIs and a dashboard for real‑time analytics. The solution includes industry‑specific modules for AEC and retail to streamline project data management and e‑commerce catalog workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in Architecture, Engineering & Construction and Retail/E‑commerce often store project documents, supplier catalogs, and operational metrics in siloed systems, resulting in fragmented data that hampers decision‑making and forces manual, error‑prone processes. The lack of a unified knowledge layer makes it difficult to generate real‑time operational intelligence across the business workflow.
Solution
Mia delivers an AI‑driven platform that ingests heterogeneous data sources—CAD files, BIM models, ERP feeds, supplier product feeds—and automatically structures the information into a searchable knowledge graph. The platform’s workflow engine then orchestrates rule‑based and generative AI actions to populate downstream systems, create sales‑ready listings, and keep inventory synchronized without human intervention. Industry‑specific modules (MiaBuilds for AEC and MiaShop for retail) provide pre‑built data models and automation templates that align with typical project lifecycles and e‑commerce processes. All data transformations and AI inferences run on a secure, cloud‑native architecture, exposing results through RESTful APIs and a web dashboard for real‑time monitoring and analytics. By converting fragmented data into operational intelligence, Mia reduces manual effort, improves data consistency, and accelerates time‑to‑insight for its customers.
Target Audience
The primary customers are mid‑size to large AEC firms seeking to streamline project data management and retail/e‑commerce operators that need to automate product catalog creation and inventory synchronization.
Features
- Scalable data connectors for CAD/BIM, ERP, PIM, and supplier APIs enabling automated ingestion of structured and unstructured assets
- Knowledge‑graph engine that normalizes entities, relationships, and attributes to create a unified semantic layer
- AI‑powered data enrichment pipelines (e.g., attribute extraction, classification, and product description generation) that run on GPU‑accelerated inference clusters
- Configurable workflow automation studio with drag‑and‑drop triggers, conditional logic, and integration hooks for downstream SaaS tools
- Industry‑tailored templates: project‑phase automation for AEC and catalog‑creation pipelines for retail, reducing implementation time
- Real‑time synchronization service that updates inventory levels and project status across connected systems via webhook and webhook‑compatible APIs
- Role‑based access control, audit logging, and end‑to‑end encryption to meet enterprise security and compliance standards