Sensor Data Fusion & RUL Modeling
Effective predictive maintenance (PdM) requires fusing heterogeneous sensor data into precise, time-series models that accurately predict the remaining useful life (RUL) of individual components. We engineer industrial-grade systems for true proactive scheduling, moving beyond simple threshold alerts.
Multi-Sensor Data Ingestion
Designing the data layer to ingest, normalize, and fuse diverse streams (vibration, temperature, current, acoustic, PLCs) from all industrial IoT gateways into a unified system.
Remaining Useful Life (RUL) Prediction
Using advanced deep learning algorithms (e.g., LSTMs) to accurately predict the exact time window when a component is most likely to fail, often weeks in advance.
Automated Alert Triage
Delivering classification models that score the severity of detected anomalies, reducing false positives and ensuring maintenance teams focus only on critical, imminent failures.
Edge Computing Strategy
Implementing sensor processing and light machine learning models directly on edge devices to enable instant detection and protective machine shut-down protocols, bypassing cloud latency.
CMMS/ERP Integration
Securely integrating the prediction engine with existing computerized maintenance management dystems (CMMS) or ERPs to automatically generate work orders and order replacement parts.
Our Expertise to imrpve Uptime Maximization
Maximizing asset uptime is a cross-functional technical challenge, demanding reliable industrial data capture, sophisticated machine learning, and rapid, accurate data delivery to field teams.
Mobile App Development
Building mobile applications that deliver immediate, context-rich alerts and diagnostics to maintenance technicians in the field, enabling faster response times and improved repair quality.
Strategy & Management
Providing the foundational strategic consulting to classify critical assets, define acceptable risk profiles, and integrate PdM data into overall capital expenditure planning.
Custom AI Model Development
Developing and fine-tuning the specific deep learning models required for accurate time-series prediction and Remaining Useful Life forecasting unique to your machinery and operating environment.
Case studies
Go beyond the obvious. Co-create with teams who value impactful experiences and products.
.webp)
.webp)
.webp)
Automating mortgage underwriting with multi-agent AI
Friday Harbor
.webp)
.webp)
Helping candidates perform better at job interviews using AI
Monster AI
Helping students learn and understand basic math using artificial intelligence
Fibo — AI Math Tutor
Leveraging AI to build a content summarization app for better knowledge retention
taim
Creating a personalized audio listening experience with content curated by artificial intelligence
Audioburst
Explore Our Full AI Capabilities
Let’s Talk About Your Project
