Companies Struggle to Gain Insight from their Data
Traditional data science approaches require data to be consolidated into data stores before analysis and training of AI models. This duplication and movement of data results in delays in realizing value, increased risk, greater complexity, and higher costs.
Heavily Distributed Data
Data is spread across systems, multiple clouds, departments, companies, and jurisdictions—resulting in high data movement costs to bring it all together.
Growing Privacy Restrictions
Increasing privacy regulations around the globe are making it harder to access data for analysis.
Data Sharing & Consolidation Risks
Data consolidation and third-party data sharing can increase the risk of cyberattacks, privacy leakage, and data lineage issues.
The Devron Platform
Devron is a federated data science platform that enables teams to build and train AI models on distributed, heterogeneous, and private data where it resides.
Devron enables every step of the data science process—from data provisioning to exploratory data analysis (EDA) and pre-processing to model building and training.
Devron empowers data owners to have complete control over their data. They can provision data for analysis, apply privacy controls, and grant or remove access to data.
Devron allows data scientists to gain an understanding of remote and private datasets without revealing the raw information by providing the schema, statistics, and a synthetic sampling of the data.
Using the information gathered during the EDA phase, data scientists can submit jobs for execution against multiple datasets, including building a data preparation pipeline to conduct data cleaning and feature engineering.
Devron’s proprietary algorithms enable data scientists to conduct machine learning over homogeneous and heterogeneous data sources, including importing existing models for federated training.
The Devron Difference
Devron is a faster, better outcome, and lower overhead approach to data science.
Bypass Data Movement
Bypass lengthy and expensive data movement processes by bringing analytics to the data.
Unlock More Data
Unlock access to valuable, previously inaccessible datasets, discovering trapped innovation.
Analyze data where it resides and without privacy leakage or lineage issues.
Build Better Models
Harness more data for advanced analytics to boast model accuracy, generalizability, & reliability.
Gain data-driven insights in the near term and get on the path of continued iteration and value.