We are InfiniData Team

Philosophy: Simplicity, Best Practices and High Performance

What we focus on

Empowering the Future of Data, Today

Multimodal data & GPU acceleration

Data privacy and security

Data Management for Quantum Computing and Quantum Internet

Amalur - AI in data lakes

Objective

We tackle the effectiveness and efficiency aspects on ML workflow.

Target

Model Lake, leveraging heterogeneous data from data lakes and rich models from model zoos.

Approach

We introduce advanced algorithms and optimizers, and accelerate with the sheer power of GPU.

Federated Learning

Objective

Our commitment to data privacy and security, ensuring data privacy without compromising the quality of insights.

Approach

We train ML models on decentralized devices and silos, ensuring data privacy without compromising the quality of insights.

Outcome

We envision novel algorithms and software tools bolstering privacy and fostering a trust-based environment for data handling and AI.

Find out more content in our Blog

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The digestion of our on-going projects