AI/ML Services
Using AI to rethink document automation and extract insights
Using our modern AI capabilities will help your organization transform its approaches to document management.
This allows public sector organizations to save time (enabling faster throughput, especially during higher volume paperwork times), so they can help get constituents their services faster, and focus on the most valuable work of the high-touch or high-need cases. Our Document automation helps reduce human entry error and we can also manage and provide backup services in case of natural disaster.
Extracting insights from huge volumes of historic documents
We build and work with your organization to automate the ingestion and analysis of scanned documents, and to gain deeper business insights by helping extract the intent and sentiment of processed data. Our solution can help you ingest millions of pages of historic scanned PDFs and JPGs of archived data and get it processed.
We also convert scanned images into digitalized text our solution and incorporate machine learning (ML) capabilities that facilitated natural language processing (NLP), to perform advanced pattern analysis and interpretation on the extracted dataset to deliver actionable insights.
Your organization's officers will quickly be able to extract detailed information and intent from archived business documents that previously required lengthy manual analysis.
AI to Automating Data Processing from Documents
Documents come in various file types, and varied formats, and contain valuable information. In most cases, you are manually processing the documents which is time-consuming, prone to error, and costly. Not only do you want this information quickly but likely need to use the information within those documents for downstream applications.
To help overcome these challenges, we provide you with Machine Learning (ML) choices when it comes to extracting information from complex content in any document format such as insurance claims, mortgages, healthcare claims, contracts, and legal contracts.
Our Projects
The Association of Netherlands Municipalities Vereniging van Nederlandse Gemeenten (VNG)
We worked closely with the VNG team, to identify key areas where AI could bring the most value and evaluated the business data needed to train relevant machine learning models. We also helped provide an additional framework for data collection and strategy to use AI solutions.
We build an AI web-based and mobile-app solution based on computer vision and natural language processing models. The goal strategy is to use AI solutions to help policymakers be more data-driven, cost-effective and efficient in investigating subversive or criminal behaviors of businesses in the main cities of the Netherlands.
How we work?
Mapping the problem
Working closely with your company, we will identify the key areas where AI can bring the most value. This involves meetings with all stakeholders and developing a roadmap for action together.
Data exploration and proof of concept
We will evaluate if you have the business data needed to train relevant machine learning models. If required, we identify additional frameworks for data collection in your company.
Proposal for deliverables
Based on our meetings and data analysis, we’ll share with you the possible AI use cases for your company. We will work hand-in-hand to agree on the desired outcome.
Model development
We will build and apply various machine learning models to your business data, to find the best solution. As a result, we will develop algorithms that accomplish the desired goal.
Application deployment
We integrate the machine learning model with an API or front-end product, making it user-friendly and accessible to the end-user.
Maintenance
Any system might require time to time maintenance, and we are happy to support our customers with that.
Speed up your machine learning project with Turnkey AI solutions
Send us a request and get a free consultation with our AI experts to:- Evaluate your AI use case;
- Determine whether AI should be used to solve your issue;
- Find out how to improve the efficiency of data collection and labelling;
- Learn about time and investment estimates.
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