The Sensing Intelligence Platform

ADCs

CogniSense delivers Tensor‑ΣΔ ADCs that extract richer, cleaner analog detail by applying intelligent, AI‑native CDMA processing directly at the analog edge of conversion.

Displays

CogniSense’s Tensor‑ΣΔ display assemblies integrate touch, force, and spatial sensing into a unified, high‑fidelity interactive surfaces tailored for next‑generation devices.

Auto & Grid

Tensor‑ΣΔ sensing solutions fuse multi‑modal inputs into high‑resolution, robust data streams that enable real‑time intelligence across diverse transportation sensing.

Robotics & Automation

“Tensor‑ΣΔ sensing solutions integrate cross‑domain inputs into high‑resolution, robust data streams that enable precise, context‑rich analysis for industrial workflows.

Redefining Experiences with Tensor-ΣΔ Analog Front Ends & AI

Our general‑purpose Tensor‑ΣΔ AFEs are self‑configuring, adaptive, and designed to offload AI and ML workloads to the host processor giving CogniSense Labs a clear sensing edge across consumer devices, wearables, and robotics. They deliver high‑fidelity, high‑dynamic‑range signals that remain stable through moisture, gloves, vibration, electrical noise, and other real‑world conditions.

By capturing exceptionally clean analog data at the source, the architecture enables AI‑driven insight extraction, advanced sensor fusion, and lower system cost and complexity creating a more adaptive, reliable, and scalable foundation for next‑generation consumer products and intelligent robotic systems.

From Digital Bottlenecks to AI‑Native Sensing

  • Traditional consumer devices rely on on‑chip digital processing, limiting signal fidelity, responsiveness, and power efficiency.
  • CogniSense Labs introduces a sigma‑delta analog front‑end (AFE) that captures high‑resolution, low‑noise raw signals directly at the sensor interface.

AI at the Edge, Not Digital Logic on Silicon

  • Raw data streams are processed by onboard AI models, enabling adaptive, context‑aware interpretation instead of fixed digital pipelines.
  • Eliminates the need for complex digital signal chains, reducing silicon cost, power consumption, and design complexity.

Elevating the Cockpit to a Smart HMI Network

No need to design different MCUs for different devices → the architecture scales inherently

Tensor‑ΣΔ AFEs efficiency turn the automotive cockpit into a real‑time intelligence environment. By keeping all sensor, touch, gesture, and environmental signals in a unified tensor model, the system executes faster inference, lower‑latency control, and cleaner signal fusion directly at the edge. This reduces SoC load, cuts integration complexity, and delivers a cockpit that responds instantly and consistently to driver intent & more precise, more adaptive, and fundamentally more intuitive.

No need to design different MCUs for different markets – the architecture scales inherently.

AFE-S (Small)

For Insoles, Gloves, and Wearables

AFE-M (Midsize)

For Trackpads, HMI, Auto Controls

AFE-L (Large)

For Med Mats, Robots, Skins, Smart Floors

(Currently Under Development – Patents Pending)

Revolutionizing Sensing Through Signal Intelligence & AI

We don’t fight noise – we make it irrelevant

CogniSense Labs brings deep expertise in sensing and high‑resolution signal acquisition. By working directly with raw sensor data and applying AI‑native analytics, the platform unifies multiple sensing modalities into a single intelligent signal‑processing layer delivering precision and insight conventional architectures can’t match.

Building on this foundation, CogniSense is introducing low‑cost Tensor‑ΣΔ AFE architectures and new silicon for consumer‑scale deployment, bringing advanced AI‑driven sensing and high‑fidelity, real‑time intelligence to mass‑market devices

why choose us

We wrote the book on intelligent surfaces using sigma-delta technologies.

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We’re at the start of making sensing simpler, smarter, and ready for building next‑gen products with Tensor‑ΣΔ.