Now in limited beta

Verify your AI
before it breaks

One command to test accuracy, latency, and memory across every target device. Catch failures before your users do.

Free during beta · No credit card required

grysics — verification
Pre-deploy verification
12ms average check
50+ hardware targets
PyTorch · TensorFlow · ONNX
SOC 2 compliant
Works with everything

Any model. Any device.

Vision, language, generative, audio — Grysics verifies it all on any hardware target.

Computer Vision

Object detection, segmentation, facial recognition

NLP & LLMs

Text generation, sentiment analysis, translation

Image Generation

Stable Diffusion, DALL-E, style transfer

Audio & Speech

Speech-to-text, music generation, voice cloning

Video Analysis

Action recognition, tracking, generation

Robotics & Control

Path planning, reinforcement learning

Medical AI

Diagnostics, drug discovery, medical imaging

Autonomous Systems

Self-driving, drone navigation, ADAS

Developer-first

Three lines to verify

Import, configure, verify. Grysics fits into your existing pipeline with a Python SDK, CLI, and CI/CD integrations. No complex setup.

pip install grysicsGitHub ActionsDocker
verify.py
1import grysics
2
3report = grysics.verify(
4    model="model.onnx",
5    target="jetson-orin",
6    checks=["accuracy", "latency", "memory"],
7    thresholds={
8        "accuracy": 0.95,
9        "latency_ms": 50,
10        "memory_mb": 2048
11    }
12)
13
14if report.passed:
15    grysics.deploy(report)
Performance

Built for speed

0x

Faster verification

0+

Hardware targets

0.9%

Deploy reliability

0min

Avg. verify time

Verification Speed

Grysics
12ms
Others
180ms

Accuracy Retention

Grysics
99.2%
Others
92%

Memory Efficiency

Grysics
245MB
Others
512MB

Success Rate

Grysics
99.9%
Others
87%
How it works

Model to production in minutes

Step 01

Upload

Drop in any AI model — PyTorch, TensorFlow, ONNX, TFLite. Grysics auto-detects architecture and dependencies.

Step 02

Verify

Grysics tests accuracy, latency, memory, and edge cases across your target devices. Detailed pass/fail reports in minutes.

Step 03

Ship

Deploy only verified models. Continuous monitoring catches drift and regressions post-deploy automatically.

Detection

What Grysics catches

Six categories of failures that silently break AI in production.

Critical

Accuracy Degradation

Detects when quantization or hardware conversion silently drops model accuracy below your thresholds.

High

Latency Violations

Identifies operations that exceed real-time constraints on your target edge devices.

Critical

Memory Overflows

Catches models that exceed available RAM or VRAM on constrained hardware before deployment.

High

Numerical Instability

Finds floating-point precision issues and NaN propagation that cause silent failures.

Medium

Framework Mismatches

Validates that model exports preserve behavior across PyTorch, TF, and ONNX conversions.

Medium

Performance Bottlenecks

Pinpoints layers and operations that consume disproportionate compute or energy.

Limited Beta

Stop shipping
untested AI

Join the waitlist. Be the first to verify your AI before it reaches production.

Join 500+ developers already on the waitlist