Tensor-ΣΔ For Industrial
Engineered for Integration – Designed for Large Arrays
AI‑Native Intelligence for High‑Density Sensor Arrays, and Closed‑Loop Industrial Control
Industrial systems are evolving from isolated sensors and PLC logic to dense, distributed sensing networks that require real‑time interpretation and coordinated action. CogniSense Labs provides an AI‑native sensing and reasoning stack engineered to support large, heterogeneous sensor arrays, deterministic timing, and high‑bandwidth signal processing across robotics, factory automation, heavy equipment, and energy systems.
Our platform ingests raw multi‑modal signals at scale, performs real‑time fusion at the edge, and drives safe, compliant actuation—enabling machines to understand their environment, detect anomalies, and optimize performance autonomously.
Engineering Use Cases Across Industrial Domains
Robotics & Autonomous Systems
Robots increasingly rely on dense sensor arrays for manipulation, navigation, and safety. CogniSense enables:
- High‑resolution tactile arrays for contact‑rich tasks
- Joint‑level vibration and motor signature monitoring
- Real‑time force/torque estimation and compliance control
- Adaptive control loops informed by multi‑modal context
- Predictive diagnostics for actuators, gearboxes, and drives
Robots gain fine‑grained perception and the ability to adjust behavior dynamically based on real‑time sensor feedback.
The Perception, Reasoning, & Actuation Stack
High‑density sensing, AI‑native reasoning, and safe actuation
Perception Layer With High‑Bandwidth & High‑Fidelity Sensing
The Perception Layer is engineered to acquire and synchronize raw signals from large, heterogeneous sensor arrays operating at industrial scale. Instead of relying on pre‑filtered or aggregated data, the system ingests full‑bandwidth streams directly from the source to force grids, vibration networks, multi‑axis IMUs, acoustic arrays, thermal sensors, hydraulic pressure transducers, and motor current signatures. This allows
CogniSense to preserve the physical characteristics of each signal, including transient events, harmonics, and cross‑channel correlations that are typically lost in conventional architectures:
- Ingests raw signals from thousands of channels
- Microsecond‑accurate time synchronization
- Multi‑modal normalization and feature extraction
Tensor & CDMA can natively support native industrial protocols:
