THE AI CODEC
BUILT FOR
MISSION‑CRITICAL
OPERATIONS.

Real-time video and sensor data compression engineered for drones, satellites, and tactical systems — where standard codecs collapse.

COMPRESSION
vs H.265
AI Video Codec
4× compression versus H.265 — AI Video Codec
END-TO-END
LATENCY
Mission-grade threshold
Less than 30 milliseconds end-to-end latency
VIDEO
THROUGHPUT
Up to 125 frames per second
Up to 125 frames per second video throughput
SENSOR DATA
COMPRESSION
AI Data Codec — up to 20×
Up to 20× sensor data compression — AI Data Codec

Classical Codecs
Collapse Under
Real Conditions

H.264, H.265, and AV1 were engineered for Netflix and Blu-ray. Modern defense and aerospace systems demand something fundamentally different.

Sensor Data Is Outpacing
Codec Capability

Modern defense-grade sensors generate raw data rates that classical codecs cannot process efficiently. A single MWIR sensor produces over 1 GB/s — overwhelming legacy pipelines and network links.

SCD Crane MWIR 1.10 GB/s
SCD Mini-Blackbird MWIR 1.57 Gb/s
SCD Cardinal SWIR 2.73 Gb/s

Inter-Frame Dependency
Fails Under Stress

H.264/H.265 predict each frame from prior frames. In vibration, rapid motion, darkness, and IR noise — one corrupted frame cascades through the entire sequence. Fatal in tactical environments.

Legacy Latency Is
Mission-Lethal

Classical codecs introduce 85–120ms of end-to-end delay. Acceptable for streaming movies. Unacceptable for UAV video links, missile guidance, satellite downlinks, and live ISR feeds.

AI-Native
Compression
Architecture

Two purpose-built codecs engineered for the edge of the battlefield and beyond.

AI Video Codec

  • compression vs H.265
  • <30ms end-to-end latency
  • Zero inter-frame dependency
  • 125 FPS throughput
  • Cross-platform FPGA / GPU / CPU
  • Low-power edge deployment
Designed for
UAV / Drones Satellites ISR Systems 8K Streaming

AI Data Codec

  • 6×–20× sensor data compression
  • Lossy + lossless modes
  • <30ms latency
  • Multi-sensor EO / IR / Radar fusion
  • AI-pipeline native integration
  • FDA-validated precision
Designed for
MWIR / SWIR Sensors Medical Imaging Aerospace IoT Edge AI
Technical Comparison vs. industry-standard codecs
Sentaya AI vs H.264 and H.265 — technical performance comparison
Metric H.264 H.265 Sentaya AI
Compression Ratio 0.9× 1.0× (baseline) 4.0×
End-to-End Latency 120ms 100ms <30ms
Inter-frame Dependency Yes Yes None
FPGA Deployment Partial Partial Native
IR / Thermal Optimized No No Yes
Power Consumption High High Low

See Sentaya
In Action

Real-time AI compression on field hardware — same source feed, 4× smaller payload, sub-30 ms end-to-end latency.

Recorded on FPGA reference hardware 4× compression · <30 ms · 125 FPS

Operational
Environments

Sentaya operates where standard codecs break down — edge platforms under vibration, RF-constrained links, and real-time AI pipelines.

ISR & Surveillance

Live intelligence, surveillance, and reconnaissance feeds transmitted over narrow RF links with sub-30ms latency and full frame independence. No artifacts under vibration or IR noise.

bandwidth reduction
<30ms latency

Satellite & Space

Downlink bandwidth is constrained and expensive. Sentaya's 4× compression ratio translates directly into mission capacity — more data per orbit window, lower operational cost.

6–20× sensor compression
GPU/CPU ready

Field-Tested.
Independently
Verified.

Evaluated and validated by leading defense, aerospace, and regulatory organizations.

Paid Pilot — Video, Data & Image

POC with the MATAH Division of Israel Aerospace Industries successfully completed. Sentaya is now in an active paid pilot covering defense-grade video, sensor data, and image compression workloads.

Paid Pilot · Active

FDA-Approved Application

The Sentaya Data Codec has been validated within an FDA-approved medical imaging application, demonstrating precision and reliability under strict regulatory standards.

Validated

ASTRA Acceleration Program

Selected for the ASTRA acceleration program powered by Starburst Aerospace & IAI — a highly competitive program for breakthrough dual-use defense technology companies.

Program Member

Built by Deep-Domain
Engineers

Combined decades of signal processing, defense systems, and program delivery from world-class institutions.

Daniel Yagudaev, M.Sc.

CEO & Co-Founder
M.Sc. Signal Processing & ML — FAU Erlangen-Nürnberg
DSP Architect & Video Systems FPGA Engineer — Elbit Systems
15 years: Siemens, Elbit Systems, Fraunhofer IIS
Siemens Elbit Systems Fraunhofer IIS

Ruslan Abramov

COO & Co-Founder
8 years Project Manager — Hermon Labs (defence systems)
Team Lead — Techaya, Alma Lasers
14 years in defence and medical systems
Hermon Labs Techaya Alma Lasers

Trusted by Defense
and Aerospace Leaders

Sentaya is engaged in a paid pilot with Israel Aerospace Industries and is a member of the ASTRA dual-use defense acceleration program powered by Starburst Aerospace.

Defense & Aerospace Prime

Israel Aerospace Industries

Strategic engagement with the MATAH Division of IAI — one of the world's leading defense and aerospace prime contractors. POC successfully completed; now operating under a paid pilot for Video, Data, and Image compression.

Paid Pilot · Active
Acceleration Program

Starburst Aerospace · ASTRA

Selected for the ASTRA acceleration program powered by Starburst Aerospace and IAI — a highly competitive cohort for breakthrough dual-use defense technology companies.

Program Member

Ready to
Evaluate?

NDA-Protected Discussions

Technical evaluations and demonstrations are available under non-disclosure agreement upon request.

We work with defence contractors, system integrators, aerospace primes, and technology partners worldwide.

Request Technical Evaluation