Allie provides an AI-driven platform that consolidates data from PLCs, MES, ERP, and other shop‑floor sources into a real‑time monitoring and predictive analytics system. Its FactoryGPT co‑pilot uses generative AI to deliver natural‑language insights, predictive maintenance alerts, and digital‑twin simulations for OEE optimization and early fault detection.
Funding
$5.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Manufacturing plants often operate with fragmented data sources and limited real‑time visibility, forcing managers to spend weeks correlating metrics across PLCs, MES, and ERP systems. This lack of integrated insight leads to missed OEE opportunities, unplanned downtime, and delayed response to process irregularities.
Solution
Allie delivers an AI‑driven platform that unifies data ingestion, real‑time monitoring, and predictive analytics for factory operations. The FactoryGPT co‑pilot ingests streams from diverse equipment, applies generative AI to surface actionable insights, and interacts with users through natural‑language dialogs. Continuous monitoring of production plans, OEE, and machine health enables hour‑by‑hour compliance tracking and early‑warning alerts for anomalies. Predictive models forecast equipment failures and process deviations, allowing preemptive interventions. A secure edge gateway provides plug‑and‑play connectivity to PLCs, cameras, and legacy systems via protocols such as OPC‑UA, Profinet, and LoRa, while maintaining end‑to‑end encryption. The platform also generates a digital twin of the production line to support scenario analysis and continuous optimization.
Target Audience
The primary customers are factory managers, production supervisors, and operations engineers at mid‑size to large discrete and process manufacturing facilities seeking integrated AI analytics and predictive maintenance capabilities.
Features
- FactoryGPT conversational AI that translates raw sensor data into clear, actionable recommendations for shift supervisors and plant managers
- Real‑time OEE and production‑plan compliance dashboards with hour‑level granularity across lines and shifts
- Predictive maintenance engine that forecasts machine‑state degradation and process variable drift using time‑series and deep‑learning models
- Secure Edge Gateway offering plug‑and‑play adapters for PLCs, vision systems, MES, and ERP, supporting OPC‑UA, Profinet, LoRa, and SSL‑encrypted communication
- Automated alerting and root‑cause analysis that detects irregularities, bottlenecks, and quality deviations as they occur
- Digital twin module that mirrors the physical line for “what‑if” simulations and continuous process optimization
- Adaptive configuration workflow that enables zero‑downtime deployment and automatic alignment with existing plant processes