Duality’s ML solution enhances the capability of organizations to perform secure, protected computations for models of any type. With Duality, ML model teams can fill in the gaps in ML Security Operations: data protection, data governance, model governance, model IP protection, model transparency, explainability, and monitoring. In addition, go-to-market teams can scale their efforts with secure, free trials of marketed models without requiring the client to expose sensitive data, and without relying on synthetic data to make purchase decisions.
By leveraging advanced cryptographic and privacy-enhancing technologies, Duality enables organizations to access sensitive data to train machine learning models or run inferences on decentralized data without revealing sensitive information, PII, or model IP.
Many organizations have models that need to be customized to clients, but the sensitivity of their data and that of the model itself prove to be major obstacles. Duality helps organizations create and scale new revenue streams with a workflow that protects both model IP and input data, with the governance controls and reporting to prove it.
Duality ensures you have complete authority over your data. Our solutions allow you to control access, specify the computations performed, determine the operational frequency of the data, and more. Remove the trust from collaborative machine learning model training, tuning, and customization.
The Duality ML engine leverages confidential computing technologies (aka Trusted Execution Environments or TEEs) integrated into our secure data collaboration platform so teams can focus on delivering value rather than how they’ll do the work.
Utilize the latest in confidential computing to fill common gaps in ML Sec Ops: data governance and protection, model IP protection, model transparency, model monitoring, and explainability.
Duality uses the leading open source for fully homomorphic encryption (AKA FHE), empowering data teams and data owners with tools for secure collaboration on sensitive data.
With Duality, AI and ML teams across various industries can utilize a range of data science, statistical, and machine learning models while ensuring model and input data protections. This capability allows teams to trivialize their data acquisition strategies, build better models, and provide greater value by offering protections for client data.
Support any model and any data type (e.g. Linear, Logistic, XGboost, CNN , LLM etc..)
Apply pre-processing script or transformation to prepare the data to perform model training, inference or any statistical computations.
Meets the requirements of the EU AI Act in both the requirements of an AI Regulatory Sandbox and in simplifying the means for AI providers to acquire real-world data with which they must prove model efficacy and compliance. See Art. 54 for more details about the AI Regulatory Sandbox for “high-risk” model types.
Ensure full control and governance of input data, decide who accesses the data, which computations can run, at which frequency, and more while providing continuous integration and delivery of updates to your ML infrastructure.
Like most models, there are often multiple datasets that will be used for training. Easily link datasets based on a unique ID/PII or based on multiple quasi-ID/PII parameters (e.g., name, address, date of birth…).
When training on 3rd party data, it’s common to need to move the data to the model, or the model to the data. Secure Collaborative AI enables models to be run wherever the data resides while protecting both the model IP and input data.
Improve generative ML workflow and model performance by training, tuning, and validating ML models on encrypted data.
Optimize efficiency by working collaboratively across borders and accessing new high-value data sets while meeting data privacy and residency requirements.
Analyze sensitive medical data across centers to gain deeper insights to speed research and discovery.
Protect sensitive data and models while transitioning ML workloads to the cloud.
Apply third-party analytics and ML models to your sensitive data without exposing it to deliver personalized user experiences while preserving privacy.
Proving value to clients is critical for sales teams to effectively drive adoption. Scale model monetization efforts with a workflow that allows clients to input their data for model customization with guarantees of data protection and governance.
Duality operationalizes Privacy Enhancing Technologies (PETs) – empowering organizations to share and analyze encrypted data.
Enable privacy-preserving data collaborations across your entire financial ecosystem.
Protect patient data across your healthcare network through privacy-preserving collaborations.
Transform your marketing strategies with data collaborations that respect privacy, driving digital advertising efforts with confidence and creativity.
Maximize the value of sensitive, regulated, or confidential data.
Crafted by leading cryptographers and data scientists, our ML solution enables you to conduct secure machine learning, protecting both model IP and input data. Our innovative approach allows for seamless data acquisition and utilization without requiring deep expertise in cryptography, ensuring your sensitive information and data pipelines remain protected at all times.
Endorsed by trusted enterprises such as AWS, DARPA, Intel, Google, Oracle, IBM, and the World Economic Forum, the Duality ML engine stands as a trusted, scalable solution that integrates smoothly with your existing systems.
