AI privacy
made easy
Discover BlindAI, an open source, accessible and
fast AI inference solution for confidential data.
our mission
Mithril’s mission is to make AI privacy easy. We aim to allow data engineers and developers to train and deploy privacy-friendly AI models with no additional complexity. That is why we are building a ready-to-use Zero-trust middleware for AI inference and training.
our mission
Mithril’s mission is to make AI privacy easy. We aim to allow data engineers and developers to train and deploy privacy-friendly AI models with no additional complexity. That is why we are building a ready-to-use Zero-trust middleware for AI inference and training.
our mission
Mithril’s mission is to make AI privacy easy. We aim to allow data engineers and developers to train and deploy privacy-friendly AI models with no additional complexity. That is why we are building a ready-to-use Zero-trust middleware for AI inference and training.
Protect data at all time
Without BlindAI
With BlindAI
With current solutions, even if data is sent securely,
it is in clear when analyzed by third-party AI solutions.
This means that once you share data externally, you no
longer have control over what is done on it. Malicious
service providers could sell your data, exploit its IP, or
simply get compromised by an attacker & leak your data.
AI user
Exposed Data
AI provider
BLINDAI IN ACTION
BLINDAI IN ACTION
BLINDAI IN ACTION
With BlindAI, leverage state-of-the-art security to benefit from AI predictions without putting users’ data at risk. Even when dealing with sensitive data, AI predictions can be obtained with the guarantee that they have never been disclosed or exposed in clear. Thanks to the hardware protection provided by Intel SGX on top of the software layer we provide, data remains end-to-end protected (at rest, in transit, and use).
We can see what happens before/after BlindAI in the figure above, where a regular AI identification system exposes data, while with our solution, data remains protected.
HOW BlindAI WORKS
import blindai
api_key = "your_api_key" # Enter your API key here
# Upload the ONNX file along with specs and model name
with blindai.Connection(api_key=api_key) as client:
client.upload_model(”onnx_model_path”, model_id=
”your_model_name”)
Upload your model
Upload your model to a BlindAI secure enclave. By default, you will upload it to BlindAI Cloud, where you need an API key. You can also deploy BlindAI on-premise.
Get predictions with privacy
Send your data to an enclave to have it analyzed, without exposing your data.
import blindai
# Prepare the tensor to be analyzed by the remote AI
input = ...
with blindai.Connection() as client:
output = client.predict("your_model_name", input)
Secure & SEAmless
REDUCED LEAKAGE RISK
community
Join a fast-growing community of developers and
innovators connected all over the world, building
the new era of the internet.
community
Join a fast-growing community of developers and
innovators connected all over the world, building
the new era of the internet.
community
Join a fast-growing community of developers and
innovators connected all over the world, building
the new era of the internet.
AI privacy made easy
Discover BlindAI, an open source, accessible and
fast AI inference solution for confidential data.
our mission
Mithril’s mission is to make AI privacy easy. We aim to allow data engineers and developers to train and deploy privacy-friendly AI models with no additional complexity. That is why we are building a ready-to-use Zero-trust middleware for AI inference and training.
Protect data
at all time
With current solutions, even if data is sent securely,
data is clear when analyzed by third-party AI solutions.
This means that once you share data externally, you no
longer have control over what is done on it. Malicious
service providers could sell your data, exploit its IP, or
simply get compromised by an attacker & leak your data.
AI user
Exposed Data
AI provider
Without BlindAI
With BlindAI
BLINDAI IN ACTION
With BlindAI, leverage state-of-the-art security to benefit from AI predictions without putting users’ data at risk. Even when dealing with sensitive data, AI predictions can be obtained with the guarantee that they have never been disclosed or exposed in clear. Thanks to the hardware protection provided by Intel SGX on top of the software layer we provide, data remains end-to-end protected (at rest, in transit, and use). We can see what happens before/after BlindAI in the figure above, where a regular AI identification system exposes data, while with our solution, data remains protected.
HOW BlindAI WORKS
import blindai
api_key = "your_api_key" # Enter your API key here
# Upload the ONNX file along with specs and model name
with blindai.Connection(api_key=api_key) as client:
client.upload_model("path_to_you_model_in_onnx_format",
model_name="your_model_name")
Upload your model
Upload your model to a BlindAI secure enclave. By default, you will upload it to BlindAI Cloud, where you need an API key. You can also deploy BlindAI on-premise.
Get predictions with privacy
Send your data to an enclave to have it analyzed, without exposing your data.
import blindai
# Prepare the tensor to be analyzed by the remote AI
input = ...
with blindai.Connection() as client:
output = client.predict("your_model_name", input)
REDUCED LEAKAGE RISK
Secure & SeAmless
Join a fast-growing community of developers and innovators
connected all over the world, building the new era of the internet.
Join the
community
AI privacy made easy
Discover BlindAI, an open source, accessible and
fast AI inference solution for confidential data.
our mission
Mithril’s mission is to make AI privacy easy. We aim to allow data engineers and developers to train and deploy privacy-friendly AI models with no additional complexity. That is why we are building a ready-to-use Zero-trust middleware for AI inference and training.
Protect data at all time
With current solutions, even if data is sent securely,
data is clear when analyzed by third-party AI solutions.
This means that once you share data externally, you no
longer have control over what is done on it. Malicious
service providers could sell your data, exploit its IP, or
simply get compromised by an attacker & leak your data.
AI user
Exposed Data
AI provider
Without BlindAI
With BlindAI
BLINDAI IN ACTION
With BlindAI, leverage state-of-the-art security to benefit from AI predictions without putting users’ data at risk. Even when dealing with sensitive data, AI predictions can be obtained with the guarantee that they have never been disclosed or exposed in clear. Thanks to the hardware protection provided by Intel SGX on top of the software layer we provide, data remains end-to-end protected (at rest, in transit, and use). We can see what happens before/after BlindAI in the figure above, where a regular AI identification system exposes data, while with our solution, data remains protected.
HOW BlindAI WORKS
import blindai
api_key = "your_api_key" # Enter your API key here
# Upload the ONNX file along with specs and model name
with blindai.Connection(api_key=api_key) as client:
client.upload_model("path_to_you_model_in_onnx_format",
model_name="your_model_name")
Upload your model
Upload your model to a BlindAI secure enclave. By default, you will upload it to BlindAI Cloud, where you need an API key. You can also deploy BlindAI on-premise.
Get predictions with privacy
Send your data to an enclave to have it analyzed, without exposing your data.
import blindai
# Prepare the tensor to be analyzed by the remote AI
input = ...
with blindai.Connection() as client:
output = client.predict("your_model_name", input)
REDUCED LEAKAGE RISK
Secure & SeAmless
Join a fast-growing community of developers and innovators connected all over
the world, building the new era of the internet.
Join the community
AI privacy made easy
Discover BlindAI, an open source, accessible and
fast AI inference solution for confidential data.
our mission
Mithril’s mission is to make AI privacy easy. We aim to allow data engineers and developers to train and deploy privacy-friendly AI models with no additional complexity. That is why we are building a ready-to-use Zero-trust middleware for AI inference and training.
Protect data at all time
With current solutions, even if data is sent securely,
data is clear when analyzed by third-party AI solutions.
This means that once you share data externally, you no
longer have control over what is done on it. Malicious
service providers could sell your data, exploit its IP, or
simply get compromised by an attacker & leak your data.
AI user
Exposed Data
AI provider
Without BlindAI
With BlindAI
BLINDAI IN ACTION
With BlindAI, leverage state-of-the-art security to benefit from AI predictions without putting users’ data at risk. Even when dealing with sensitive data, AI predictions can be obtained with the guarantee that they have never been disclosed or exposed in clear. Thanks to the hardware protection provided by Intel SGX on top of the software layer we provide, data remains end-to-end protected (at rest, in transit, and use). We can see what happens before/after BlindAI in the figure above, where a regular AI identification system exposes data, while with our solution, data remains protected.
HOW BlindAI WORKS
import blindai
api_key = "your_api_key" # Enter your API key here
# Upload the ONNX file along with specs and model name
with blindai.Connection(api_key=api_key) as client:
client.upload_model("path_to_you_model_in_onnx_format",
model_name="your_model_name")
Upload your model
Upload your model to a BlindAI secure enclave. By default, you will upload it to BlindAI Cloud, where you need an API key. You can also deploy BlindAI on-premise.
Get predictions with privacy
Send your data to an enclave to have it analyzed, without exposing your data.
import blindai
# Prepare the tensor to be analyzed by the remote AI
input = ...
with blindai.Connection() as client:
output = client.predict("your_model_name", input)
REDUCED LEAKAGE RISK
Secure & SeAmless
Join a fast-growing community of developers and innovators
connected all over the world, building the new era of the internet.
Join the community
AI privacy made easy
Discover BlindAI, an open source, accessible and
fast AI inference solution for confidential data.
our mission
Mithril’s mission is to make AI privacy easy. We aim to allow data engineers and developers to train and deploy privacy-friendly AI models with no additional complexity. That is why we are building a ready-to-use Zero-trust middleware for AI inference and training.
Protect data at all time
With current solutions, even if data is sent securely,
data is clear when analyzed by third-party AI solutions.
This means that once you share data externally, you no
longer have control over what is done on it. Malicious
service providers could sell your data, exploit its IP, or
simply get compromised by an attacker & leak your data.
AI user
Exposed Data
AI provider
Without BlindAI
With BlindAI
BLINDAI IN ACTION