Solwey And Devron.ai Partner To Advance Decentralized Data Processing

Custom software design and development solutions provider, Solwey Consulting, and data science and machine learning technology company, Devron.ai, teamed up to build and launch an application that improves the way decentralized data is processed and analyzed. 

The aim of this partnership is to utilize Solwey’s custom software engineering capabilities to enhance the architecture of Devron’s data science and machine learning platform. Already used to identify fraud across global banking transactions, the platform works with different data types from different sources in parallel, allowing for embedding data-driven insights into a prediction model that learns from disparate data sets.

Typically, artificial intelligence development requires data to be duplicated, moved and centralized before training AI models and deriving value. With Devron’s federated machine learning platform, data science teams can build and train AI models and predictive analytics on distributed data without the cost and risk of centralization. Instead of bringing the data to the model, Devron’s solutions bring the model to the data. Additionally, the platform complies with many regulatory, data sovereignty and privacy limitations by eliminating the need to move data from its source.

A relatively new advancement, Devron’s approach to data processing creates enhanced privacy and security. Without the need to move or centralize data, users can work in parallel with various data types from different sources. Devron’s software also allows analysts to combine data-driven insights into a forecasting model that improves the quality and robustness of the resulting predictions because it has been trained using diverse data sets. 

As data science integration in fintech continues to evolve, institutions are seeking to implement new digital strategies to help them stay ahead of the curve, detect fraudulent activity and keep raw data secure.

Recently, the United States intelligence community began utilizing Devron’s federated machine learning platform to access and analyze data from hundreds of international banks and flag transactions made by corrupt merchants with a U.S. geocode. By implementing Devron’s proprietary approach to vertical federated learning, government data science teams could perform entity resolution between diverse global data sets in a matter of hours, flag corrupt transactions in real time and increase accuracy in identifying fraudulent transactions by 40 percent.

From artificially inflated property valuations to mortgages that contain false income or employment information to forged or improperly transferred real estate sales, fraud is prevalent across the worlds of finance and real estate — especially as society transitions into an increasingly digital space. Leveraging a federated AI solution like the Devron platform can help organizations across industries unlock insights hidden in massive data sets while keeping the source information private and secure.

To help uncover additional benefits from this technology, Solwey, Devron’s new development partner, leveraged its deep data science expertise and software engineering experience to develop a solution that combines security, privacy, and efficiency in extracting data-driven insights from disparate data sources. 

Specializing in incorporating data, design and software into customized solutions, Solwey leverages existing innovative tools and state-of-the-art technologies to provide a full suite of UX/UI design, web and mobile development, e-commerce, blockchain, machine learning and business intelligence services. Their team of senior designers and developers is equipped to build impactful solutions throughout all stages (from concept to strategy to implementation).

Since its founding, Solwey has established and solidified partnerships with some of the world’s most progressive and respected tech companies. Solwey works as a trusted development and integration partner that can turn initial ideas into reality and established tools into never-before-seen solutions.

With Devron’s current solution, data science teams can analyze disparate and decentralized data quickly, securely and more efficiently — without centralizing it — resulting in significantly reduced ETL efforts, lead times and infrastructure overhead. Furthermore, data scientists can immediately derive useful insights from sensitive data, without needing to anonymize or redact sensitive information. With a wide range of applications, including real-time fraudulent transaction identification and credit card protection, Devron’s software resolves many pain points in fintech, banking and financial services. 

In 2022, Devron earned the “Best AI Solution for Big Data” award from the AI Breakthrough Awards program. 

Solwey recently earned a 100% job success rate from both Shopify, a longtime partner since 2016, and Upwork, a freelance marketplace, an honor for which only one percent of talent on Upwork qualifies.

Combining custom software engineering and data science expertise, this unique proprietary approach to vertical federated learning empowers organizations across industries to rethink how to harness the power of data.

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