SciTransfer
DeepOpinion · Project

No-Code AI Platform for Automating Unstructured Document and Text Processing

digitalMarket-readyTRL 9

Imagine a smart assistant that can read and understand thousands of messy documents, emails, or reviews just like a human would. Instead of hiring a team to manually sort through this paperwork, you can teach the computer to do it using a simple drag-and-drop tool. It's like building a custom brain for your business without needing to write a single line of code.

By the numbers
65%+
zero-touch processing rate
100+
languages supported for AI model training
4
years of R&D for proprietary ML engine
The business problem

What needed solving

Businesses struggle to process unstructured data (text and documents), which creates operational bottlenecks and requires expensive manual labor.

The solution

What was built

A no-code B2B SaaS platform featuring a Cognitive Skill Builder for AI training and a Flow Builder for creating automated workflows.

Audience

Who needs this

Fintech companiesCustomer-oriented enterprisesInsurance claims processorsB2B SaaS providersDigital transformation consultants
Business applications

Who can put this to work

Fintech
enterprise
Target: Loan processing firm

If you are a loan processing firm dealing with thousands of unstructured financial documents — this project developed a no-code B2B SaaS platform that achieves 65%+ zero-touch processing. This allows you to automate document verification and reduce manual data entry.

Customer Service
enterprise
Target: Global e-commerce retailer

If you are a global e-commerce retailer dealing with customer feedback in many different languages — this project developed an AutoNLU engine that automatically trains AI models for data sets in 100+ languages. This enables automated opinion mining and topic detection at scale.

Insurance
SME
Target: Claims management SME

If you are a claims management SME dealing with complex, unstructured text-heavy claims — this project developed a Cognitive Skill Builder that lets non-technical users create AI skills to put cognitive processes on autopilot. This reduces operational costs and increases efficiency.

Frequently asked

Quick answers

How is the product priced?

Based on available project data, the platform utilizes a Usage-based Pricing model.

Can this handle large-scale industrial operations?

Yes, the platform is designed as a B2B SaaS for end-to-end automation of unstructured processes and can handle data sets in 100+ languages.

Who owns the intellectual property or how is it licensed?

The platform is based on a proprietary ML engine created over 4 years of R&D. Based on available project data, it is delivered as a B2B SaaS platform.

How does it integrate with existing systems?

The system provides an API and a Flow Builder to create intelligent workflows or integrate AI skills into existing bots.

What is the timeline for deployment?

The project period runs from 2023-03-01 to 2025-02-28, with the final results already indicating a developed SaaS platform.

Consortium

Who built it

The project is led by a single Austrian SME, Intelligent NLU GmbH, with a 100% industry ratio. This lean structure suggests a highly commercial focus, moving directly from R&D to a B2B SaaS product without the overhead of academic partners.

How to reach the team

Contact Intelligent NLU GmbH in Austria

Next steps

Talk to the team behind this work.

Contact us to explore licensing or implementation of this no-code AI automation platform.