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Now Available in Private Beta

Deploy AI Models to the Edge in One Click

Aina takes your bulky models, makes them 4x smaller, 2.3x faster, and ships them to every device in 90 seconds. Less cloud. More performance.

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Aina • Edge ML Command Center
Devices
156
+12
Online
153
98.2%
Latency
12ms
-32%
Size ↓
4.2MB
85%
Edge ModelsDevice FleetOptimization
Fleet Latency (ms)
avg 32msp95 45ms
SLO 30ms
Device Fleet
device-1offlineResNet-5010ms
device-2onlineYOLOv8-Nano11ms
device-3onlineResNet-5012ms
device-4offlineYOLOv8-Nano13ms
device-5onlineResNet-5014ms
Model Optimization Progress
✨ Core Platform

Enterprise-Grade Edge AI Platform

Built for scale, security, and performance. Deploy AI models across your entire device fleet with confidence.

One-Click Deployment

Ship safely with canaries, staged waves, and instant rollback

10,000+ devices

Automatic Optimization

AI-powered model optimization for faster inference with smaller models.

2.3x performance boost

Fleet-Wide Monitoring

See p95 in real time, catch drift before it bites, and keep A deployments rapid.

Real-time insights

How It Works

From model to production in three simple steps

Upload

Drag & Drop Models

Drag-and-drop ONNX / PyTorch / TF models.

02

Optimize

AI-Powered Tuning

Quantization & graph fusions auto-tuned for each chipset.

03

Deploy

Global Edge Network

OTA updates reach every edge node in minutes.

100%
Model Validation
Upload Process
ProgressStep 1 of 3
Live Processing

Why Choose Aina

Proven results that transform your AI deployment strategy

80%

Cost Reduction

Slash your cloud infrastructure costs by deploying AI models directly to edge devices. Eliminate expensive cloud compute while maintaining peak performance.

80%

Cost Reduction

90s

Deploy Time

From upload to production in under 90 seconds. Our automated pipeline handles optimization, testing, and deployment across thousands of devices simultaneously.

90s

Deploy Time

97%

Faster Inference

AI-powered optimization delivers up to 97% faster inference speeds through quantization, pruning, and hardware-specific tuning for each target device.

97%

Faster Inference

10+

Targets Supported

Compile once and run your models everywhere, to all standard and non standard targets

10+

Targets Supported

🔥 Limited Beta Access🚀 Launching Q4 2025

Ready to Deploy AI at Scale?

Join our early beta program

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