f7i.ai

What It Is

Factory AI is a predictive maintenance and AI-driven CMMS platform for mid-sized manufacturers. Its core products include the Predict anomaly detection platform and Prevent AI-Powered CMMS. It emphasizes being “sensor-agnostic,” with support for existing sensors, historians, SCADA, PLCs, and other systems, making it suitable for brownfield factories that do not want to replace hardware.

Core Capabilities

On the AI side, the site describes anomaly detection, time-series forecasting, root cause analysis, remaining useful life estimation, risk scoring, and prescriptive maintenance recommendations. It also lists model types such as deep neural networks, LSTM, Autoencoder, Random Forest, XGBoost, and ARIMA. The business workflow is fairly complete: after Predict detects an anomaly, it can automatically create a work order, while Prevent handles assets, work orders, inventory, scheduling, and mobile maintenance. Typical use cases include early fault detection for pumps, fans, conveyors, motors, compressors, heat exchangers, and similar equipment, as well as RCM-driven maintenance strategy optimization.

Pricing and Trial

Prevent offers a free plan with 5 work orders per month, 10 assets, and 5 AI Credits. The Business plan is $35/user/month when billed annually, with a 14-day free trial. Predict is priced annually by monitoring point: Essential at $500/point/year, Pro at $750/point/year, and Expert from $1,100/point/year. Expert diagnostics, vibration analysis, and advanced integrations are add-ons or require sales consultation.

Pros and Cons

Its strengths lie in an industrially practical deployment approach: support for existing systems, no-code configuration, and the combination of Predict with CMMS, which helps turn alerts into executable work orders. Pricing information is also relatively transparent. Case studies show results such as around 80 predictive alerts for a food manufacturing customer and a 15% reduction in downtime. Limitations include some metrics, such as 95% prediction accuracy and a 5% false alarm rate, lacking clear validation methodology; large-scale point deployments may become expensive; and while the FAQ mentions data security, payments, and related issues, the main content does not provide complete answers.

Best Fit and Access from China

Factory AI is better suited for manufacturing maintenance teams, reliability engineers, and maintenance leaders that already have sensors and production data and want to reduce unplanned downtime. Chinese-language support is not disclosed, and payment methods are not specified. Access from mainland China is unknown. For deployment in China, key items to verify include network connectivity, cloud regions, cross-border data transfer, contract payment arrangements, and local integration partners. Alternatives can be evaluated among local CMMS products, industrial internet platforms, or predictive maintenance solutions from equipment vendors.