DefinedCrowd’s Artificial Intelligence Platform Solves the Data Problem

DefinedCrowd’s Artificial Intelligence Platform Solves the Data Problem
DefinedCrowd Team
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While developing algorithms to power deep learning is no easy task, it’s not the most challenging area in the world of artificial intelligence (AI). The biggest challenge for most algorithms is lies in the data they have access to. Data that’s poorly managed or unsorted data will make the training of AI/ML models a much lengthier process. That’s where DefinedCrowd swoops in to save the day.

DefinedCrowd was founded by Daniela Braga and Amy Du back in 2015. It’s got offices in both Seattle and Portugal and has just recently unveiled its new SaaS platform that’s been designed to make life for data scientists a little easier. The platform is focused around three central areas: computational imagery, natural language processing, and voice recognition.

“Our value proposition is around quality of data, speed and scale,” explained Braga. “There is a challenge that if you use bad data, then you get garbage out of the [AI] model. We are solving these pain points, which were my own pain points when I started my career as a data scientist.”

For the past couple of years DefinedCrowd has been busy building its AI engine. Now it can churn out high quality data in no time at all. It’s been a collaborated effort trying to build better data sets and more than 20,000 people are working on the platform today. Once all the data has been gathered and sorted DefinedCrowd can then look to help users find the data they need for their AI projects.

The SaaS platform offers users templates and workflows in which to them up and running as quickly as possible. Users can even take existing datasets as they are to get training their own AI models as quickly as possible. However, the main selling point of the platform is the customisation options it offers. To help get the datasets and platform up to scratch the company has taken on various pools of workers involved in areas such as finance and healthcare, where it’s imperative that translations are accurate.

In the two years the company’s been in existence it’s managed to grow to have 10 employees in Seattle and a further 20 in Portugal. The platform is available for businesses to take advantage of now and can be purchased either as a one of annual payment or on a monthly basis.

Source TechCrunch

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