Low-Power Neuromorphic Signal Fabric

Autonomous Edge Intelligence via Sub-Milliwatt Sensing

Sensinya develops event-driven neuromorphic processors, micro-radar telemetry fabrics, and real-time sensory perception models for high-consequence edge environments.

Explore Architecture Request Dev Kit
< 0.45ms
On-Device Inference Delay
< 15mW
Peak Operating Power Draw
500k+
Active Edge Sensor Nodes
SIL-3
Functional Safety Standard

Sensory Compute Stack

Bridging physical signal acquisition with biological-inspired neural networks on edge silicon.

01

Spiking Neural Network Silicon

Event-driven neuromorphic core executing continuous sensory inference with sub-milliwatt dissipation, eliminating traditional clock cycle bottlenecks.

02

Multimodal Telemetry Fusion

Microsecond-aligned sensor fusion engine synthesizing LiDAR, micro-Doppler radar, and high-frequency acoustic streams on local edge nodes.

03

Zero-Trust Edge Telemetry Mesh

Decentralized node-to-cloud mesh telemetry featuring hardware-enforced cryptographic attestation and air-gapped local failover resilience.

Engineering Leadership & Governance

Combining decades of specialized leadership in mixed-signal semiconductors, sensory telemetry, and mission-critical embedded software.

AC
Andiel Crova
Managing Director & Systems Architect
Leads neuromorphic compute research, mission-critical edge deployments, and enterprise supplier security attestations.
andiel@sensinya.com
SL
Dr. Soren Lind
VP of Embedded Signal Processing
Specializes in sparse sensory representation, micro-Doppler processing, and ultra-low-power edge ML compilation.
soren@sensinya.com
KR
Kavita Rao
Head of Hardware Assurance & Trust
Oversees hardware root-of-trust architectures, ISO 26262 compliance certifications, and vendor technical vetting.
kavita@sensinya.com