Rivixi Systems:
Shaping the AI-First Future

Data Intelligence

Time-series modeling & decision systems

Neural forecasting pipelines designed for high-variance data environments, enabling structured decision support across financial, retail, and operational datasets.

• Acquisition: API-based ingestion pipelines with compliant data collection and normalization across financial and operational sources.
• Time-Series Forecasting: Short- and mid-term forecasting across daily, weekly, and monthly horizons using LSTM and encoder–decoder architectures with production-ready inference pipelines.
• Pattern Analysis: Behavioral and market signal extraction with ranking and scenario-based decision support systems.

Stack: Hybrid LSTM Encoder–Decoder · Time-series pipelines · Proprietary IP

Computer Vision & Imaging

Multi-spectral analysis & spatial inference

End-to-end computer vision pipelines from calibrated capture to neural segmentation, designed for diagnostic and industrial inspection environments.

• Multi-spectral Capture: Imaging pipelines across UV, visible, infrared, and extended spectral bands for subsurface, thermal, and texture-level signal extraction.
• Real-time Edge: Low-latency streaming with WebRTC and edge-first inference designed for interactive and real-time processing constraints.
• Neural Segmentation: Encoder–decoder segmentation models with ROI detection and boundary-level precision for defects and diagnostics.

Stack: Multi-spectral CV pipelines · Edge inference · Spatial processing · Proprietary IP

Acoustic Signal Intelligence

Predictive failure modeling & signal interpretation

Acoustic emission analysis systems designed for early-stage failure detection and structural monitoring in industrial environments.

• Pattern Recognition: Neural classification of acoustic emission and vibration signatures with temporal sequence modeling.
• P–F Curve Modeling: Failure prediction aligned with P–F curve methodology for maintenance planning and risk scoring.
• Leak Detection: Real-time localization of leaks using sensor fusion across distributed industrial systems.

Stack: AE signal models · Temporal encoding · Predictive risk scoring · Proprietary IP