Solutions

Custom Analytics Solutions

We offer analytics solutions tailored to operational challenges — anomaly detection, automated reporting, algorithm development, and more.

Solutions

We offer solutions tailored to operational challenges.

RUL prediction with limited data

RUL Prediction from Limited Data

Estimates remaining useful life and optimal replacement timing from minimal operations data to optimize maintenance plans.

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Screenshot of automated report generation software

Automated Report Generation

AI image analysis and natural language generation produce technical reports in a single click.

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Screenshot of data analytics algorithm library

Custom Algorithm Development

From problem definition through validation and deployment — analytics built for operations.

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Real-time early warning

Real-Time Degradation Monitoring

Detects early signs of equipment degradation automatically from vibration and acoustic data.

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Case Studies

Case studies from a range of industries.

Anomaly Detection Case study: building IoT anomaly detection

Predictive Anomaly Detection from Building IoT Data

Leverages IoT sensor data to automatically detect equipment anomalies and reduce manual oversight.

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Spectral Analysis Case study: real-time composition analysis

Real-Time Composition Analysis and Quality Anomaly Detection on Production Lines

Predicts component concentrations in real time from spectral data and catches quality anomalies early.

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Anomaly Detection Case study: vehicle sensor real-time anomaly detection

Real-Time Anomaly Detection on Vehicle Sensor Data

Monitors ECU / CAN bus data in real time to instantly detect abnormal behavior during operation.

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Anomaly Detection Case study: vehicle sensor anomaly pattern search

Pattern Search and Anomaly Detection on Vehicle Sensor Data

Rapidly searches vehicle driving data for similar phenomena to identify abnormal behavior early.

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Anomaly Detection Case study: vibration sensor anomaly detection

Equipment Anomaly Detection from Vibration Sensor Data

Uses vibration data to detect signs of equipment failure with 90–100% detection accuracy.

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Algorithm Development Case study: AI noise reduction

AI Noise Reduction Algorithm for Precision Instruments

Automatically removes noise from measurement data using AI, enabling nanometer-scale precision.

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Report Automation Case study: automated technical report generation

Automated Technical Report Generation via AI Image Analysis

Automatically generates commentary from SEM images and produces technical reports with a single click.

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Report Automation Case study: AI-OCR data extraction from inspection forms

AI-OCR Data Extraction from Equipment Inspection Forms

Reads paper forms and PDFs with AI-OCR and extracts them as structured data.

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Industry × Challenge Examples

Representative examples to help you picture how our solutions fit.

Materials × Automated Spectral Analysis Manufacturing × Early Equipment Anomaly Detection Quality Assurance × Standardized Reporting R&D × Analytical Algorithm Validation Chemical × Reproducible Analytics Workflows Semiconductor × Faster Data Analytics

Discuss your challenge

Tell us about your data and workflows — we'll build what fits.

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