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Intelligence at the Speed of Physics


When 100ms is too late. Process AI inference locally with <10ms latency. No round-trips to the data center. No jitter. Just instant reaction.

 Ask a demo 

 < 10 ms

 Latency

 10,000x

 More Efficient

 100%

 Offline Ready
Low Latency Edge AI

Cloud vs Edge Latency

 Cloud Connected
Centralized Processing
 100-500 ms

 Cloud Connected
Local Processing
 < 10 ms

The Cloud is
Too Far Away

Light speed is finite. Sending data to a data center 500 km away guarantees lag.


Critical Use Cases
Why It Matters

Where a millisecond delay results in injury, financial loss, or mission failure

Industrial Robotics

PAIN POINT
A robot arm needs to stop instantly if a human enters its zone.

OKIFF SOLUTION

Loop time <5ms. The safety logic runs on the Okiff Box inside the factory.

< 5 ms
Loop Time

Autonomous Transport

PAIN POINT
Vehicles cannot wait for a server in Virginia to tell them to brake.

OKIFF SOLUTION

On-Board Inference. Process LIDAR and video feeds locally for instant decision-making.

< 10 ms
Reaction Time

Industrial Robotics

PAIN POINT
Motion sickness occurs if visual lag exceeds 20ms.

OKIFF SOLUTION

Tactile Internet. Render AI overlays at the 5G tower for lag-free remote assistance.

< 20 ms
Visual Lag

New Revenue Streams
From Existing Hardware

Exactly what you can sell to your clients using Okiff


Feature

Centralized Cloud AI

OKIFF Edge AI

Processing Location

Data Center (Remote)

On-Device / POP (Local)

Energy per Inference

~1 Watt

~100 Microwatts

Network Load

High (Streams raw video)

Zero (Streams only alerts)

Reliability

Fails if internet cuts

Works Offline

Optimized for
Your Metal

Okiff OS extracts maximum performance from specialized Edge hardware

NVIDIA

Jetson / Blackwell / Vera Rubin

Intel

OpenVINO / i3 / i5 / i7 / i9 / Xeon

Coral

Google TPU

AMD

Ryzen / EPYC

Raspberry Pi

Lightweight Gateways

Deploy Models,
Not Infrastructure

Push your PyTorch or TensorFlow models to 1,000 edge nodes in one click via Okiff Enterprise Studio. We handle the containerization and NPU allocation.

 One-click deployment to distributed edge nodes

 Automatic containerization and optimization

 Smart NPU/GPU resource allocation

Okiff CLI

$ okiff deploy model \
    --target=factory-floor \
    --priority=realtime

✓ Model validated
✓ Containerized for ARM64
✓ NPU resources allocated
✓ Deployed to 47 nodes

Average latency: 6ms
Status: OPERATIONAL

Don't Believe Us?

Measure It.


Deploy Okiff on a single node. If you don't see <10ms internal latency, the pilot is free.

 Ask your Pilot​