About

Okika Devices: Redefining Analog Intelligence at the Edge

Okika Devices is pioneering innovation in the Analog FPAA (Field Programmable Analog Array) domain, defining a category with exceptional strategic value. Unlike digital FPGAs, Analog FPAAs are purpose-built for real-time edge analog processing—where speed, ultra-low power, and seamless interfacing with the physical world are essential.

Ideal Applications Include:
• IoT sensor nodes
• Biomedical wearables
• Aerospace and defense systems
• Marine sonar and radar
• Smart industrial controls

With the acceleration of edge AI and neuromorphic computing, demand for efficient analog signal processing is surging. Okika’s FPAAs are engineered to:
• Eliminate the need for power-hungry ADCs
• Perform intelligent preprocessing before digital handoff
• Enable ultra-low-latency AI-at-the-edge

Edge AI + Analog Compute = The Next Frontier
As edge AI expands, FPAAs bridge the gap between the analog and digital worlds. They perform signal conditioning and preprocessing before data reaches a digital system—enabling smarter, faster, and more efficient devices.

Companies seeking to reduce power consumption in AI-enabled IoT products will increasingly turn to FPAAs as companions to MCUs or FPGAs.

Defense, Aerospace, and Space Markets Will Lead Adoption
Analog reliability in extreme environments is invaluable. FPAAs provide:
• Radiation tolerance in space systems
• Resilient analog filtering and control loops for missiles, satellites, and avionics

Expect agencies such as DoD, NASA, ESA, and leading commercial space ventures to drive early adoption over the next five years.

Educational and Research Expansion
FPAAs are gaining traction in academia for their flexibility in teaching analog design and prototyping biomedical and robotics systems. Universities and R&D labs are adopting them as toolchains become more accessible.

Challenges to Watch
• Toolchain maturity—EDA software for FPAAs is still evolving.
• Design talent—analog expertise is scarce.
• Market awareness—system architects often think digital-first, so education is key.

Sector-Specific Insights

Marine Systems (Sonar, Radar, Autopilot):
FPAAs reduce power use and latency in sonar signal processing, enabling real-time filtering, beamforming, and noise cancellation.

Wearables (Fitness & Biomedical):
Devices relying on analog sensors—heart rate, oxygen saturation, skin temperature—can benefit from low-power sensor interfacing, motion signal smoothing, and edge AI preprocessing using FPAAs.

Automotive (ADAS, Navigation, Dash Cams):
FPAAs support analog camera signal conditioning, radar/ultrasound preprocessing, and noise reduction—cutting power draw while improving response times.

Outdoor, Cycling & Recreation Devices:
For GPS-based systems with barometers, altimeters, and analog sensors, FPAAs can reduce discrete component count, improve signal stability, and extend battery life.

Aviation (Avionics & Flight Systems):
In rugged, high-signal environments, FPAAs offer customizable analog front ends, adaptive filtering, and vibration compensation for advanced sensor modules.

OEM & Sensor Modules:
Manufacturers can integrate FPAAs as configurable analog ICs within modules, enabling rapid customization without costly ASIC redesigns.

Acoustics & FPAA Innovation
Analog acoustic processing analyzes real-world sound—from sonar pings and ultrasonic waves to structural vibrations. Dr. Hasler’s pioneering work enables ultra-low-power, real-time processing of these signals directly in reconfigurable analog hardware, bypassing the inefficiencies of digital conversion.

Why It Matters:
• Analog excels at real-time sensing without digital conversion overhead.
• FPAAs offer dynamic reconfiguration for adaptive sensing environments.
• Result: lower latency, higher efficiency, and breakthrough power savings for embedded systems.

Use Cases – Where Acoustics Meets FPAA
???? Sonar & Underwater Systems: FPAAs can filter, amplify, and extract acoustic features from returning waveforms with minimal power draw—ideal for continuous, real-time underwater sensing.