Future of Work News Free eNews Subscription

Stop Wasting Time on Data Prep: Mindee's AI Takes on Document Processing

By

A good portion of a data scientist's time is consumed by data preparation. According to an Anaconda report, up to 39% of their efforts are dedicated to tasks like cleansing and annotating data before it's usable for training models. This statistic sheds light on the extensive work that goes unseen behind the scenes of data-driven products.

For product managers, this emphasis on data prep presents a critical challenge. Ideally, they need solutions that integrate with existing systems while also catering to the specific needs of their product. Finding tools that strike this balance is a hurdle.

The time-consuming nature of data preparation highlights the importance of streamlining the process. Solutions that automate data cleansing tasks or offer pre-annotated datasets can free up valuable time for data scientists. This allows them to focus on core competencies like model building, analysis and interpretation – activities that directly translate into actionable insights for product development.

While data preparation is a crucial step in the data science workflow, minimizing its time burden is essential. And Mindee, the developer platform for AI document processing, released a product that helps minimize the time with pulling data from documents: docTI. The docTI solution is an intelligent document processing tool that allows the processing of any document type, in any language, without the requirement of data model training.

Mindee specializes in advanced optical character recognition APIs and enables the easy integration of intelligent document processing capabilities into any app or system. Their technology extracts and structures a wide array of data – processing documents at an unprecedented scale, in real time, and with accuracy.

Building on Mindee's initial offering — an extensive API catalog for processing common documents — docTI extends this capability to any document type. This makes it an essential tool for fintech, HRIS, legal systems and more.

"Mindee’s core vision is to deliver solutions that align perfectly with the specific needs of our clients,” said Jonathan Grandperrin, CEO, Mindee. "With docTI, we're bringing a one-of-a-kind expertise of deep learning, computer vision, and large language models to provide the most adaptable, dynamic and high-performing document processing tool on the market."

The introduction of docTI marks a pivotal moment in helping SaaS development teams eliminate the lengthy and complex process of data collection, annotation and model training.




Edited by Alex Passett
Get stories like this delivered straight to your inbox. [Free eNews Subscription]

Future of Work Contributor

SHARE THIS ARTICLE

Related Articles

See How IT Adapts to AI in the Workplace at Future of Work Expo 2025

By: Greg Tavarez    1/14/2025

A Future of Work Expo panel session will look into how IT departments can move through the increased demand on network capacity.

READ MORE

A Conversation of AI in the Contact Center Space at Future of Work Expo 2025

By: Greg Tavarez    1/14/2025

The "Evolving Role of the Contact Center - More Than Just Customer Service" panel session will address how AI is having a transformational impact on t…

READ MORE

Speed of AI Implementation Outpaces Strategic Frameworks in Europe

By: Greg Tavarez    1/13/2025

Businesses have invested heavily in AI and automation, with an average spend of €103.4 million over the past two years.

READ MORE

New Year, New Gear: Introducing Jabra Perform 75, the Bluetooth Headset for Retail Shift Work

By: Alex Passett    1/13/2025

This morning, Jabra officially unveiled the Jabra Perform 75, its newest Bluetooth headset that is designed for tough retail shiftwork.

READ MORE

CloneOps.ai Seed Funding Fuels Development of Scalable AI Solution for Logistics Communications

By: Greg Tavarez    1/8/2025

CloneOps.ai recently closed a seed round investment with an initial group of 10 customers in beta testing who expect to go live early 2025.

READ MORE