Products
// PRODUCTS
AI Assets Marketplace
Explore a decentralized marketplace where you can discover, tokenize, and trade AI models, datasets, and agents — all with verifiable ownership.
Decentralized GPU
Access high-performance compute from a global network of GPU providers. Deploy and scale your AI workloads without centralized bottlenecks.
Token launch framework
Transform high-traction AI assets into token-powered ecosystems. Launch tokens with built-in staking, licensing, and community incentives.
Developers
// DEVELOPERS
Deploy & Train AI Models
Use Neural Labs to deploy, manage, and run AI models with full control. No infrastructure setup required — everything runs on-chain and at scale.
Monetize AI models - Coming soon
Train complex AI models from scratch using decentralized compute. A powerful, accessible alternative to traditional cloud infrastructure — coming soon.
AI Business Solutions -
Coming soon
Integrate tokenized AI models and tools into your existing products or workflows. Scalable, modular, and built for real-world applications.
Gain
// GAIN
Monetize AI models
Upload and tokenize your AI assets, configure licensing, and start earning from usage, licensing, and performance — all on-chain and automated.
Invest in AI assets
Discover and invest in verified AI models and datasets with real usage, on-chain metrics, and transparent reward structures.
Docs
// DOCS
WHITEPAPER
CASE STUDIES
FAQS
Our Documents
AlphaNeural AI ensures a secure, compliant, and transparent environment for AI development.
View Docs
Blog
About
Get Started
Products
AI Assets Marketplace
Decentralized GPU
Token launch framework
Developers
Deploy & train AI Models
Train AI Agents - Coming soon
AI Business Solutions - Coming soon
Gain
Monetize your AI assets
Invest in AI assets
Docs
Whitepaper
Case studies
FAQS
Blog
About
Explore Market
Deploy smarter.
Build faster.
Use Neural Labs to run, manage, and iterate on your AI models with real-time deployment and tokenized ownership.
Get Started
Python
TypeScript
Rust
C#
1
from
neurallab
import
NeuralLabClient
2
3
client = NeuralLabClient(api_key=
"YOUR_SUPER_SECURE_AND_LONG_API_KEY_123456789"
)
4
5
model = client.upload_model(
6
name=
"alpha-vision-model-v2",
7
file_path=
"./models/production/vision-v2.onnx"
8
framework=
"onnx",
9
description=
"Production-grade image classification model trained on custom dataset using transfer learning."
10
11
result = client.run_inference(
12
endpoint=deployment.endpoint,
13
input_data=
{"image_url": "https://alpha.neuralcdn.ai/public/input/industrial_pipe_342.jpg",
)
14
15
print
(
"Inference complete. Output:",
result
['
prediction
'],
"| Confidence:"
,
result['confidence'], "| Embedding vector size:", )
1
from
neurallab
import
NeuralLabClient
2
3
client = NeuralLabClient(api_key=
"YOUR_SUPER_SECURE_AND_LONG_API_KEY_123456789"
)
4
5
model = client.upload_model(
6
name=
"alpha-vision-model-v2",
7
file_path=
"./models/production/vision-v2.onnx"
8
framework=
"onnx",
9
description=
"Production-grade image classification model trained on custom dataset using transfer learning."
10
11
result = client.run_inference(
12
endpoint=deployment.endpoint,
13
input_data=
{"image_url": "https://alpha.neuralcdn.ai/public/input/industrial_pipe_342.jpg",
)
14
15
print
(
"Inference complete. Output:",
result
['
prediction
'],
"| Confidence:"
,
result['confidence'], "| Embedding vector size:", )
1
from
neurallab
import
NeuralLabClient
2
3
client = NeuralLabClient(api_key=
"YOUR_SUPER_SECURE_AND_LONG_API_KEY_123456789"
)
4
5
model = client.upload_model(
6
name=
"alpha-vision-model-v2",
7
file_path=
"./models/production/vision-v2.onnx"
8
framework=
"onnx",
9
description=
"Production-grade image classification model trained on custom dataset using transfer learning."
10
11
result = client.run_inference(
12
endpoint=deployment.endpoint,
13
input_data=
{"image_url": "https://alpha.neuralcdn.ai/public/input/industrial_pipe_342.jpg",
)
14
15
print
(
"Inference complete. Output:",
result
['
prediction
'],
"| Confidence:"
,
result['confidence'], "| Embedding vector size:", )
1
from
neurallab
import
NeuralLabClient
2
3
client = NeuralLabClient(api_key=
"YOUR_SUPER_SECURE_AND_LONG_API_KEY_123456789"
)
4
5
model = client.upload_model(
6
name=
"alpha-vision-model-v2",
7
file_path=
"./models/production/vision-v2.onnx"
8
framework=
"onnx",
9
description=
"Production-grade image classification model trained on custom dataset using transfer learning."
10
11
result = client.run_inference(
12
endpoint=deployment.endpoint,
13
input_data=
{"image_url": "https://alpha.neuralcdn.ai/public/input/industrial_pipe_342.jpg",
)
14
15
print
(
"Inference complete. Output:",
result
['
prediction
'],
"| Confidence:"
,
result['confidence'], "| Embedding vector size:", )
THE
BENEFITS
Modular Access
Each benefit stands alone but connects to the full lifecycle
Automated Payouts
Stack features together based on your needs
Automated Payouts
No approvals or gatekeepers required to participate
Real Utility
Monetization baked into the design for all roles
Outcome:
Trade, license, or monetize seamlessly.
Tokenized Ownership
Model becomes an asset you fully own.
Outcome:
No manual payments. Trustless splits.
Revenue Sharing
Built-in contract splits for teams & contributors.
Outcome:
Insights into earnings, usage, and performance.
Real-Time Usage
Track your model like a product.
Deploy.
Monetize.
GROW.
REPEAT.
Upload Your Asset
Add your model, dataset, or agent directly to the platform.
> Step 1
Set Ownership
Define collaborators, revenue splits, and usage terms.
> Step 2
Deploy on Chain
Launch your asset with real-time compute and smart contract automation.
> Step 3
Start Earning
Every interaction, every inference — tracked and rewarded automatically.
> Step 4
Ready to launch?
Start deploying.
Get Started
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