Activeloop, a dataset optimization company, seamlessly manages data for deep learning applications
Optimize and manage your data for machine learningActiveloop automatically connects unstructured data to machine learning models. Our open-source package Hub enables data streaming, scalable machine learning pipelines, and dataset version control for distributed workloads.
Visualize and improve datasets to build great modelsActiveloop's control panel for deep learning allows companies to easily access, visualize and improve their datasets to build great models. Activeloop’s stack is used by teams at Google, Waymo, and Red Cross.
Shaping the future of data is hard
So we've built an all-star team
Backed by world-class investors
Meet the leadership team
We believe that the future of ML is data-centric. Good data is essential for great models, and current methods of managing unstructured data for ML are simply not enough. Our team got together to make open, unified and optimized data for ML available to everyone - from students and researchers to startups and large enterprises.
We believe that actively learning from feedback, always putting the users first and being unafraid to achieve bold goals in times of uncertainty will enable us to shape the future of data.
Just look at these
- Davit BuniatyanCEO
- Daniel WalkerCRO
- Ivo StranicHead of Product
- Tatevik HakobyanHead of Engineering
- Mikayel HarutyunyanCMO