The past few years have seen a lot of Startups being founded. From solutions that bank the unbanked to platforms that merge health and technology, there has been a definite rise of new businesses in this past decade. Many of these new companies are growing and onboarding more people every day. However, with the growth, comes the need for a faster way of catering to their needs, ingesting real-time data on these platforms while still doing a great job. The goal is to grow, yes. But at the same time, provide the same quality of solution you were when you had only 100 customers. A good way to describe this is wanting to eat bananas, Pineapples, and apples at once. Simple, pour in a blender and make a smoothie, right? But how do you get a blender that can offer this blend not just for you but for a large number of people, let’s say about 1000 people, all at once? You get a factory-size blender that can give you zero stress. Now relating that to business, this is when you need innovation. Imagine a solution that gives a straightforward implementation of new data pipelines including existing data sources and real-time data. What you need is an IO performance optimization to run production ETL batch jobs alongside end-to-end workflows across several business processes. The result? You get simplified ETL and feature generation tasks with a workflow engine that works. By leveraging ML and data pipeline management, you can build the groundwork for future machine learning and advanced analytics solutions using Voyance. With different products, we can offer a simplified AI infrastructure for your business.

Voyance

Data science in your browser.

Data science in your browser.

Voyance

Data science in your browser.

Data science in your browser.

Voyance

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Voyance Launches

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