Customer Use Cases

Learn how Eliiza is enabling nib to automate healthcare claims using AWS AI & ML services

Using AI to automate document processing

nib provides health and medical insurance to over one million Australians and receives thousands of medical claims per day. Learn how Eliiza, an AWS Partner, helped nib automate this process to enable faster responses to their customers and a reduction in manual efforts using Amazon Textract in their machine learning solution.

Amazon Textract Customers

BlueVine

BlueVine offers a modern approach to small business financing. Its advanced online platform provides business owners with fast and easy solutions to everyday financial needs with fast approvals, simple and flexible financial products (E.g., Invoice Factoring, Line of Credit, Term Loans), and an easy-to-use dashboard.

"As part of the PPP program, we helped thousands of businesses across the US get funds, saving more than 400,000 jobs. This was achieved partly due to high automation and efficient processes built by multiple teams. A significant part of our success was a result of the cooperation with Amazon Textract and its team that allowed a high degree of automation for document processing, less burden on back office, helping the servicing and risk teams focus on serving the customers faster and better."

Nir Klar, Founder and CTO, BlueVine

Kabbage

Kabbage

Kabbage is a data and technology company providing small business cash flow solutions, including access to flexible lines of credit, online payments, cash-flow insights and business checking accounts.

"Amazon Textract helped us support 80% of PPP applicants to receive a fully automated lending experience and reduced approval times from multiple days to a median speed of 4 hours. By the end of the program, we became the second largest PPP lender in the nation by application volume, surpassing major US banks —serving over 297,000 small businesses, and preserving an estimated 945,000 jobs across America."

Anthony Sabelli, Head of Data Science for Kabbage

 

PFS Tech

PFS Tech

PFS Tech is an information technology company specialized in intelligent process automation and digital innovation, consulting firm part of PFS Group. They understand technology as a means and they use it to transform companies, helping them to make their processes more efficient and agile, obtaining data intelligence, defining technological architectures and improving the experience of their end customers with high-value digital solutions.

"We saw a gap in automating extraction of semi-structured data to build a RPA software. The necessary data was on invoices, orders, pay slips, and delivery notes that end-users need to send through the software. Previously, we were using legacy OCR and template based designs that required manual effort or intervention. Using Amazon Textract as a foundation and core component of Reexdoc, our AI-powered and cloud-based data extraction platform, we were able to develop an in-house IA model per document type that allowed us to extract certain fields and send the data to the end-customer. Amazon Textract enabled us to build a software that uses RPA technology to automate the process from end-to-end - saving cost, increasing resource productivity, reducing the propensity of errors and failures and, improving the efficiency of enterprise processes to make them more profitable and sustainable."

Francisco García, Managing Director, PFS Tech


Change Healthcare

Change Healthcare

Change Healthcare is a leading independent healthcare technology company that provides data and analytics-driven solutions to improve clinical, financial and patient engagement outcomes in the U.S. healthcare system.

"At Change Healthcare, we believe that we can make healthcare affordable and accessible to all by improving the timeliness and quality of financial and administrative decisions. This can be achieved by the power of machine learning technology to understand more from our data. But unlocking the potential of this information can often be difficult as it's siloed in tables and forms that traditional optical character recognition hasn't been able to analyze. Amazon Textract further advances document understanding with the ability to retrieve structured data in addition to text, and now with the service becoming HIPAA compliant, we'll be able to liberate the information from millions of documents and create even more value for patients, payers, and providers.”

Nick Giannasi, EVP and Chief AI Officer - Change Healthcare

Rekeep

Rekeep is the main Italian provider of Integrated Facility Management services (E.g., the management and delivery of integrated services to private and public customers for properties, territory and healthcare operation).

Rekeep’s purchasing department performs an internal review of the suppliers compliance, by spending a considerable amount of hours per day manually reviewing thousands of documents per year. The documents include invoices and tax and wage compliance certificates from suppliers in the form of scans. Our employees are required to check, for example, that the invoice data is correct and consistent with the Supplier Relationship Management System (SRM). Working with AWS APN Partner KPMG Advisory Italia, we were able to build a solution using Amazon Textract to extract text and data from documents and Amazon Rekognition Custom Labels to check for the presence of stamps which are required on many of these documents. "The use of AI has fully automated the document pipeline for three- quarters of our documents and free up employees time for activities with higher added value, allowing us to standardize the process and make it more accurate. Moreover, we have cleared the backlog of documents and distribute the activity throughout the year to avoid peaks in volume, allowing for a seamless relationship with suppliers.”

Antonella Sangiorgi, CIO, Rekeep

Canara HSBC OBC Life Insurance

Canara HSBC OBC Life Insurance

Canara HSBC OBC Life Insurance, is one of the leading insurance providers with over a million customers. Canara HSBC OBC Life, with its focus on customer experience and operational efficiency, is building up a transformational roadmap to be amongst the leading technology insurer and providing the real power of technology to its customers, partners and employees. In order to be a value differentiator in customer experience, and operational efficiency, Machine Learning for document processing is one of the critical tools for success.

"Amazon Textract embedded in the current operational process picks the information from the support documentation submitted from our customers and automates the verification process of the documents, saving us time and manpower required for manual scrutiny. We are going to further invest in similar technology to create a digital ecosystem which can help our business witness sustainable growth and superior customer experience."

Sachin Dutta, Chief Operating Officer, Canara HSBC OBC Life Insurance

Assent Compliance

We help companies by providing transparency, traceability and real understanding of their supply chain data so they can protect their brands, remove market access barriers, and reduce operational and financial risk.

"We strive to combine technology and business domain expertise to help our customers understand compliance risks in their supply chain. We needed a way to process compliance documents at scale. Our process is to read images and PDF documents with forms, tables, and free-form text and extract data of interest from within those documents. Amazon Textract's OCR technology enabled us to extract text from documents. Amazon Comprehend's context-aware NLP APIs extracted business-specific entities and their values from the text. We also incorporated humans in our workflow using Amazon Augmented AI (Amazon A2I), to have our teams review extracted data and provide feedback to the ML models and help improve them over time. Using this efficient mix of human and machine learning along with AppSync and Amplify provided us more accurate insights into our customers' supply chain risk and saved them hundreds of hours in manually reviewing documents. They can now get immediate feedback on whether their company is at compliance risk."

Corey Peters, AI/ML Team Lead, Assent Compliance

NHS, Business Services Authority

National Health Service, Business Services Authority (NHS BSA)

National Health Service, Business Services Authority (NHS BSA) is part of the UK National Health Service. It provides a range of support services to NHS organizations, NHS contractors and patients. As part of its payment services, they process 54 million paper prescriptions and other healthcare documents per month.

“The NHS has long been interested in the promise of AI to improve the quality of public healthcare. Human judgement is critical and in fact is often required for decisions involving medical payments. Amazon Textract is compelling because it offers AI powered extraction of text and structured data from virtually any document. We are excited about Amazon Augmented AI because it allows us to take advantage of machine learning while still applying human judgement. That’s a game changer for us.”

Chris Suter, Head of Cloud Platforms and Innovation, NHS BSA

 

Chisel AI

Chisel AI

Chisel AI helps commercial insurance carriers and brokers double their business by automating mundane underwriting and brokering processes.

The commercial insurance industry operates using processes thatare document intensive. Processing these documents requiresmanual entry, is costly, and prone to human error. We use AWS services to automate and streamline operational workflows, using Amazon Textract and Amazon Comprehend. Using machine learning we have been able to extract policy numbers, expirationdates, and many more insurance industry-specific attributes with reduced manual effort. We leverage Amazon Textract to extract data from documents at scale and Amazon Comprehend to classify and label unstructured content in documents and pull out insurance-specific entities. “Our applications use Amazon Textract and Amazon Comprehend in conjunction with our own proprietary models to automate costly manual processes like document review and insurance application intake. We reduce customer effort, making it faster and easier to buy and sell commercial insurance. We are seeing great results using AWS machine learning.”

Colin Toal, Chief Technical Officer, Chisel AI

 

“Across all industries, forms are one of the most popular ways of collecting data. Manual efforts can take hours or days to "read" through digital forms. Leveraging Amazon Textract's Optical Character Recognition (OCR) technology we can now read through these digital forms quicker and effortlessly. We now leverage handwriting as part of Textract to parse out handwritten entities. This allows our customers to upload forms with both typed and handwritten text and improve their ability to make key decisions through data quickly and in a streamlined process. Additional, Textract easily integrates with Amazon S3 and RDS for instantaneous access to processed forms and near real-time analytics.”

-Ollie East – Director of Advanced Analytics and Data Engineering

“Across all industries, forms are one of the most popular ways of collecting data. Manual efforts can take hours or days to "read" through digital forms. Leveraging Amazon Textract's Optical Character Recognition (OCR) technology we can now read through these digital forms quicker and effortlessly. We now leverage handwriting as part of Textract to parse out handwritten entities. This allows our customers to upload forms with both typed and handwritten text and improve their ability to make key decisions through data quickly and in a streamlined process. Additional, Textract easily integrates with Amazon S3 and RDS for instantaneous access to processed forms and near real-time analytics.”

-Ollie East – Director of Advanced Analytics and Data Engineering

Baker Tilly

Baker Tilly

Baker Tilly is a leading advisory, tax and assurance firm dedicated to building long-lasting relationships and helping customers with their most pressing problems — and enabling them to create new opportunities.

“Across all industries, forms are one of the most popular ways of collecting data. Manual efforts can take hours or days to "read" through digital forms. Leveraging Amazon Textract's Optical Character Recognition (OCR) technology we can now read through these digital forms quicker and effortlessly. We now leverage handwriting as part of Textract to parse out handwritten entities. This allows our customers to upload forms with both typed and handwritten text and improve their ability to make key decisions through data quickly and in a streamlined process. Additional, Textract easily integrates with Amazon S3 and RDS for instantaneous access to processed forms and near real-time analytics.”

Ollie East – Director of Advanced Analytics and Data Engineering, Baker Tilly

 

“Across all industries, forms are one of the most popular ways of collecting data. Manual efforts can take hours or days to "read" through digital forms. Leveraging Amazon Textract's Optical Character Recognition (OCR) technology we can now read through these digital forms quicker and effortlessly. We now leverage handwriting as part of Textract to parse out handwritten entities. This allows our customers to upload forms with both typed and handwritten text and improve their ability to make key decisions through data quickly and in a streamlined process. Additional, Textract easily integrates with Amazon S3 and RDS for instantaneous access to processed forms and near real-time analytics.”

-Ollie East – Director of Advanced Analytics and Data Engineering

“Across all industries, forms are one of the most popular ways of collecting data. Manual efforts can take hours or days to "read" through digital forms. Leveraging Amazon Textract's Optical Character Recognition (OCR) technology we can now read through these digital forms quicker and effortlessly. We now leverage handwriting as part of Textract to parse out handwritten entities. This allows our customers to upload forms with both typed and handwritten text and improve their ability to make key decisions through data quickly and in a streamlined process. Additional, Textract easily integrates with Amazon S3 and RDS for instantaneous access to processed forms and near real-time analytics.”

-Ollie East – Director of Advanced Analytics and Data Engineering

HelloSign, a Dropbox Company

HelloSign

HelloSign, a Dropbox company since 2019, offers a digital workflow platform that streamlines business operations, enabling customers to collect e-signatures without the need for a printer or fax machine.

Read more about HelloSign's use case >>

Amazon Textract increased engagement and retention of HelloWorks users. Thousands of pages have been scanned since its internal beta launch in May 2020. After scanning a document in HelloWorks, 83 percent of customers responded in a qualitative survey that the tool is very useful. HelloWorks has also seen a 26 percent month-over-month growth rate in new forms created from March to July 2020. “We’ve tripled the ratio between the number of new company teams signed up for the product and new forms created, and that’s largely due to Amazon Textract,” says Kao. “Using it helped address one of our biggest hurdles: reducing the investment needed to create forms.” Additionally, the increase in created forms has directly resulted in a similar increase in the number of forms and signatures sent.

Benny Kao, Product Manager, HelloSign

 

HighIQ.ai

HighIQ Robotics Inc.

HighIQ is a leading provider of cloud-based Digital Workforce as a Service (DWaaS), intelligent automation solutions, enabled by Amazon AI Services. These role-based IQ Workers automate complex, tedious, manual business processes, to boost human productivity and foster innovation, ultimately resulting in higher business performance and reduced business costs.

“Some of HighIQ’s intelligent automation solutions are enabled by Amazon AI Services like Amazon Textract to extract information from documents such as invoices, purchase orders, contracts, etc. and generate the extracted data in a format that can be automatically loaded into a database using a pre-defined schema. The well-oiled machinery behind the OCR engine and the proactiveness of the Textract team in responding to customer feedback has helped us to significantly improve the straight-through-processing (STP) of customer documents.”

Pawan Singh, Co-Founder & CEO, HighIQ Robotics Inc.


ARQ Group

Arq Group

Arq Group is the leading end-to-end provider of digital solutions for the corporate and government market.

“At Arq group we work with different transportation companies and their physical asset maintenance teams. Their processes have been refined over many years. Previous attempts to digitize the process caused too much disruption and consequently failed to be adopted. Textract allow us to provide a hybrid solution to gain the benefits of predictive insights coming from digitizing maintenance data, whilst still allowing our customer workforce to continue following their preferred handwritten process. This is expected to result in a 22% reduction in downtime and 18% reduction in maintenance cost as we can now predict when parts are likely to fail and schedule for maintenance to happen outside of production hours. We are also expecting the lifespan of our customer assets to increase, now that we are preventing failure scenarios.”

Daniel Johnson, Business Segment Director, Arq Group

BDO

BDO

As one of the world’s leading audit, tax and advisory organisations, BDO is guided by its values that are the foundation for what it delivers – IDEAS | PEOPLE | TRUST. BDO supports clients of all types and sizes, from large corporate organisations to private businesses, entrepreneurs, and individuals across a range of industry sectors. 

BDO wanted to automate the extraction of unstructured information in a diverse set of PDF documents, but a ready built solution did not exist. A partnership with AWS and Auxilis proved the answer. Together, the team tackled one of the most inconsistent document types – the financial statement. There were a range of challenges to overcome, including inconsistent layouts, variable terminology, and data hidden in notes. Using Amazon Textract, BDO developed an application known as Intelligent Document Processing (IDP) to efficiently batch processes PDF documents to consistently extract and allocate data for analysis. This adds immediate value through time and cost savings, as well as improved accuracy and efficiency. IDP results have been so accurate they have identified errors in the source documents BDO is provided by clients to analyse.

Alastair Raphael, Associate Director Business Restructuring, BDO in Australia 

Wrapped Insurance

Wrapped Insurance

Wrapped Insurance is creating a new form of insurance. We're an Australian insurtech combining smart structuring with great technology.

“By using Amazon Web Services, we have been able to provide an intelligent and truly unique insurance experience to our customers. Amazon Textract helped us to automatically read insurance policies from different providers. Reading and summarizing existing policies is a clear advantage for Wrapped to engage with customers that need a better way to view their cover across a portfolio of assets.”

Sofia Rostankowska, CEO, Wrapped Insurance

The Washington Post

The Washington Post

The Washington Post, a leading provider of daily news, informs and entertains the most influential minds across their 100 million global viewers. Their tradition of journalistic excellence and unparalleled access, paired with cutting-edge engineering, make The Washington Post the trusted source for their audience.

"Machine learning for document understanding is a critical tool for The Washington Post to study records of public interest. In order to break news, our reporters need not just the words but also the structured data that is found in newsworthy documents. Amazon Textract reveals more data from documents, more accurately, aiding our journalists in their reporting."

Jeremy Bowers, Director of Engineering - The Washington Post

Informed IQ

Informed.IQ

Informed.IQ automates verifications for consumer credit applications in lending, bank account opening and government subsidy applications for major banks and agencies, turning documents into data and decisions in real time.

"Informed.IQ automates income and asset verifications for banks and lenders using Amazon Textract as a building block,” says Co-founder and CEO Justin Wickett. “Our machine learning engineers chose Textract to identify tables and extract key-value pairs so that we can efficiently analyze millions of paystubs, bank statements, tax returns, W-2s, and more each year on behalf of our financial services customers. Textract’s SOC and ISO compliance evidences strict controls to safeguard information, enabling us to further automate our lenders’ policies and procedures for loan origination."

Justin Wickett, Co-founder & CEO, Informed.IQ

eliiza

Eliiza

Eliiza is a data science consulting company and premier AWS consulting partner, who partners with clients to design, build, scale and optimise data science solutions. Eliiza is part of CMD Solutions.

“Our clients face a common business problem: data required for core business processes is locked away in a document, form, or image and requires teams of people to analyse, interpret & take action. In response to these challenges we developed Eliiza Thea, a solution that integrates with Amazon Textract to extract information with high levels of accuracy, analyse the information for business process execution, and integrate with upstream and downstream systems to remove the need for human data entry and review. Thea has a consumption based pricing model that includes Amazon Textract costs ensuring customers only pay for what they use and can be deployed within the customers AWS environment or as a SaaS offering.

"We have a proven track record of delivering commercial value to our customers using Eliiza Thea demonstrated by reduced handling times and increased straight through processing across multiple industry verticals including insurance, financial services and professional services.”

James Wilson, CEO, Eliiza

Belle Fleur

Belle Fleur

Belle Fleur believes the machine learning revolution is altering the way we live, work and relate to one another, and will transform the way every business in every industry operates.

“We use Amazon Textract to detect text for our clients that have the 3 Vs when it pertains to data: Variety, Velocity, and Volume. In particular our clients that have different document formats to process information and data properly and efficiently. The feature designed to recognize the various different formats whether it’s tables or forms and now with handwriting recognition is an AI dream come true for our medical, legal and commercial real estate clients. We are so excited to roll out this new handwriting feature to all of our customers to further enhance their current solution especially those with lean teams, we are able to allow the machine learning to handle the heavy lifting via automation to read thousands of documents in a fraction of the time and allowing their teams to focus on higher-order assignments.”

Tia Dubuisson, President at Belle Fleur

Roche

Roche

"Roche's NAVIFY decision support portfolio provides solutions that accelerate research and enable personalized healthcare. With petabytes of medical PDF documents being generated in hospital systems every day, we needed a document extraction service to handle documents that have no standardized format. Amazon Textract provides the functionality to help us extract text from medical documents, so that we can then apply Natural Language Processing (NLP) to build a comprehensive, longitudinal view of patients, and enable both decision support and population analytics."

Ram Balasubramanian, Sr. Director of Software Engineering - Roche Diagnostics Information Solutions

PitchBook

PitchBook

PitchBook is a financial data and software company which tracks every aspect of the public and private equity markets, including venture capital, private equity and M&A.  

"PitchBook is the leading provider of data in the private capital markets, specifically VC, PE and M&A. As a part of that market, a portion of our data comes from survey, particularly in PDF. PitchBook started using Textract to improve this part of our research process. Before using Textract, this process took hundreds of manual hours going through PDFs and manually entering information as it came in. With Amazon Textract, we have seen gains as high as 60% in our process. We’re hoping to use Textract in other areas that may improve our data collection processes as well."

Tyler Martinez, Director of Data Science and Software Engineering - PitchBook

Biz2Credit

Biz2Credit

Biz2Credit was founded in 2007 with one goal: make the business financing process work better for lenders and their customers. Biz2Credit’s mission is to provide small businesses with industry-leading lending solutions throughout their lifecycle in a flexible and transparent environment. 

“A fully digital experience can provide Small Businesses the fastest access to credit, however, the biggest challenge that any lender faces is to Digitize, Validate, Analyze Non Digital Documents like the Customer Bank Statement which forms a central data for the Customer Credit Assessment purposes – especially in the large amount of Unsecured Lending that we help Banks undertake.

A key capability of this Module is the ability to ingest data in multiple formats, including scanned/faxed documents and to fully digitize these documents into constituent individual Digital transactions. The BSA has built this capability leveraging Amazon Textract API. Textract gives Biz2Credit team the ability to focus on building better models for credit evaluation without having to invest in building models for OCR and continuously updating them to handle new formats.

The efficacy of the automated BSA using the Amazon Textract was tested with a large bank where we found an 80% reduction in the human effort, in parallel, human induced error rates in digitizing data were reduced to a near 0. ”

Vineet Tyagi, CTO of Biz2Credit and Technical Head of the Biz2X Digital Platform

BGL

BGL

BGL is Australia’s leading developer of self-managed super funds (Australian's privately managed funds) administration and corporate compliance software solutions. BGL award winning SaaS solutions include Simple Fund 360 and CAS 360. Founded in 1983 by Ron Lesh and headquarted in Melbourne, they currently employ over 150 people. 

“Accountants, personal fund managers and trust advisors are still forced to transcribe or extract information from PDF or paper documents because electronic bank feeds for some information is just not available, or the original bank documents themselves are not in a compatible format to their existing OCR solution. By integrating Amazon Textract into our BGL software, we are making our clients more efficient by automating data extraction for processes like manual input of bank statements. Initial findings show Textract has the potential to save around 60% of the time taken on manual data entry, that’s around 100-150 hours a year, per fund. The time savings will increase significantly more when factoring in other forms that require manual input today like Tax Statements, Contracts of Sale, and historical accounting records. By using Amazon Textract, BGL clients will be able to improve their end customer experience while freeing up their valuable time and resources to enable them to focus on higher value activities and opportunities.”

Matt Crofts, Head of Product, Simple Fund 360

BGL

Lumiq

Lumiq is a data analytics company, holding the deep domain and technical expertise to build and implement AI/ML-driven products and solutions. Our data products are built like Lego blocks and run on AWS that helps our customers to scale the value of their data and drive tangible business outcomes.

“With thousands of documents being generated and received across different stages of the consumer engagement life cycle every day, one of our customers (a leading insurance service provider in India) had to invest several manual hours for data entry, data QC & validation. The document sets consisted of proposal forms, supporting documents for identity, financials, and medical reports among others. These documents were in different, non-standardized formats and some of them were handwritten resulting in an increased average lag in lead to policy issuance and impacted customer experience.

We leveraged Amazon’s machine learning-powered Textract to extract information and insights from various types of documents, including handwritten text. Our custom solution built on top of AWS Textract and other AWS services helped in achieving a 97% reduction in human labour for PII redaction & a projected 70% reduction in man-hours for data entry. We are excited to further deep-dive into Textract to enable our customers with an E2E paperless workflow and enhance their end-consumer experience with significant time savings.”

Mohammad Shoaib, Founder & CEO - Lumiq (Crisp Analytics)

nib Group

nib Group

nib Group provides health and medical insurance to over 1.6 million Australian and New Zealand residents as well as health insurance to international students and workers in Australia. It’s also Australia's third largest travel insurer and global distributor of travel insurance.  

“Many years ago we were the first health insurer in Australia to provide our members with the ability to submit photos of their claims receipts via our innovative mobile app. As our member base grew, so did the need for claims processing and manual extraction of information from the receipts. After experiencing mixed results with traditional OCR approaches, largely due to the variety of claims receipt types, we began experimenting with machine learning based computer vision to extract the text required for claims processing from the receipt images. During this initiative we integrated Amazon Textract into our claims processing pipeline and delivered a high quality text extraction solution along with structured data processing. By using Textract we’ve been able to speed up our claims processing, resulting in a great customer experience while at the same time increasing our operational efficiencies. Through the use of cloud platforms and emerging technologies like Amazon Textract we’re able to continue delivering on our vision of empowering our members to make better decisions and improved health outcomes through greater accessibility to affordable health services and information.”

Mathew Finch, Head of Emerging Technology - nib Group

Filevine

Filevine

Filevine is the operating core for legal professionals, including cloud-based case & matter management, document management, and deep reporting analytics. From its launch in 2015, Filevine focused on rapid innovation and award-winning design, earning the highest ratings from independent review sites.

"Millions of matters and case files are handled in Filevine every day. We chose Amazon Web Services because we wanted to deliver best-in-class document search solutions for our customers. Amazon Textract is fast, accurate, and scalable - it helps Filevine meet the exacting requirements of the world’s largest and most sophisticated legal organizations. With Filevine and Amazon, finding the proverbial needle in the haystack has never been easier for legal professionals."

Ryan Anderson, Chief Executive Officer - Filevine

Perfios

Perfios Software

Perfios is a product technology platform that deals with thousands of data types to help our customers automate data-driven risk- and price-reducing decisions.

“We have been testing Amazon Textract since its early days and are very excited to see it launch in India to help us address data sovereignty requirements for the region, which now unblocks us to use it at scale,” says Ramgopal Cillanki, Vice President, Head of Engineering at Perfios Software. "We believe that the service will help to transform the banking, financial services, and insurance (BFSI) industry from operations-heavy, human-in-the-loop processes to machine learning-powered API automation with minimal manual operations. Textract will not only help us reduce lenders’ decision-making turnaround time but also create business impact for our end-users in the long run.”

Ramgopal M Cillanki, Vice President – Head of Engineering, Perfios Software Pvt. Ltd.

QL Resources Berhad

QL Resources

QL is among Asean's largest egg producers and surimi manufacturers and is building a presence in the sustainable palm oil sector with activities including milling, plantations and biomass clean energy.

"We have a large amount of handwritten documents that is generated daily in our factories where it is challenging to ubiquitously install digital capturing devices. With the custom solution developed by our AWS partner Axrail using Amazon Textract and various AWS services, we are able to digitize documents for both printed and handwritten hard copy forms that we generated on the production floor daily, especially in production areas where digital capturing tools are not available or economical, this is a sensible solution and completes the missing link for full digitization of our production data."

Chia Lik Khai, Director - QL resources

The Globe and Mail

The Globe and Mail

The Globe and Mail is a national icon and Canada’s most recognized media brand.

"As a news media company, we rely on many PDF or scanned-source documents such as FOIs (freedom of information requests) that have important information contained in tables that we previously couldn't access. These documents have been under-utilized because journalists were not able to access them easily or didn't know they existed. Using Amazon Textract, we are able to extract information from tables in PDFs and easily output that data to CSV and offer easy access to these documents by making them available for search queries by our journalists. This increases efficient access to information for our journalist by tenfold."

Michael O’Neill, Managing Director, Digital and Data Science - The Globe and Mail

Vidado

Vidado

Vidado is an AI-driven document digitization platform that has perfected data extraction in low quality, low resolution, and handwriting use cases.

"Amazon Textract enables us to drive enterprise customers toward templateless form recognition while being able to process extremely difficult use cases, automating far more workflows and reducing the time it takes to put them into production."

Nowell Outlaw, CEO - Vidado

ClearDATA

ClearDATA

ClearDATA’s innovative platform of solutions and services protects customers from data privacy risks, improves their data management, and scales their healthcare IT infrastructure, enabling the industry to focus on making healthcare better by improving healthcare delivery, every single day.  

“It’s exciting to see AWS add their optical character recognition service powered by machine learning, Textract, to their list of HIPAA eligible services. A lot of medical data that is shared among payers and providers is locked in image-based files like PDFs. Instead of manually processing that kind of data, healthcare organizations can now use Amazon Textract service to extract medical data from files that previously have been non-machine readable. This brings an opportunity to integrate this data with their electronic health records, or other cloud technologies like Amazon Comprehend Medical which can identify protected health information in the dataset. This is just another step forward in increasing the opportunity to use these emerging technologies to improve access to data, get better insights, lower costs, and improve patient and member experiences.”

Matt Ferrari, Chief Technology Officer – ClearDATA

Healthfirst

Healthfirst

Healthfirst is a not-for-profit managed care organization and one of the fastest growing health plans in New York with over 1.4M diverse members and a network of more than 35,000 providers and 4,500 employees.

“At Healthfirst, we are building data pipelines to turn scanned medical charts into useful clinical information to improve care coordination, drive quality outcomes, and ensure appropriate reimbursement for members under our coverage. We use Amazon Textract and Amazon Comprehend Medical to glean real value from unstructured data sources in an efficient way, resulting in revenue savings 10-20 times more than our usual downstream operation. By scaling up to analyze over 50,000 charts, we can find undocumented diagnoses and refer around 5,000 members for the care management they need.”

Steve Prewitt, Chief Analytics Officer - Healthfirst

Alfresco

Alfresco

“At Alfresco, we want to make document processing and content management as simple as possible for our customers. Since a document management system is only as good as its input, it is critical that we have the foundational tools that can automatically and accurately extract key information from digitized documents. Previously, we built custom solutions on top of OCR technology in order to extract data of interest, which required intensive manual training. This process consumed valuable time and resources, but it was work that had to be done. With Amazon Textract, we can now automatically extract not just the text in a document and table information, but real insights that allow us to automate data entry and facilitate faster business decisions. Amazon Textract is enabling us to provide greater data integrity, security compliance, and the ability to launch business processes faster than ever. And most importantly, all of this helps us better assist our customers in their digital transformation journey.”

John Newton, Chief Technology Officer & Founder - Alfresco

Inforuptcy

Inforuptcy

"AWS Textract has enabled us to not only automate time consuming data entry, but also to unlock additional data to drive deeper insights and higher business value for our customers."

Mike Mikikian, Founder - Inforuptcy

Cox Auto

Cox Automotive

“At Cox Automotive, we are looking to transform the way the world buys, sells, owns and uses cars. To further modernize our automotive solutions, we will be leveraging Amazon Textract to accelerate how quickly cars can be transacted. With Amazon Textract, we can automatically capture and validate data from documents and forms, such as loan applications or vehicle titles, so decisions can be made more quickly. This will reduce customer effort and further streamline the process for everyone involved from the manufacturer to the buyer.”

Bryan Landerman, Chief Technology Officer - Cox Automotive

Kablamo

Kablamo

Kablamo is one of Australia’s fastest growing digital product engineering specialists.

"We work with our fintech and banking clients everyday to help them transform and digitise previously manual, labour-intensive processes. Since introducing Amazon Textract, we’ve been able to dramatically reduce labour and time for them by integrating traditional paper-based documents into automated workflows for tasks such as credit decisioning. Our clients can now automatically extract important information from scanned documents. We don’t have to adjust the process or create custom code every time there is a new one, because Textract works with a variety of different formats. We’ve seen clients move from processing dozens of documents in hours to hundreds of documents in minutes, all without needing any in-house machine learning expertise."

Angus Dorney, Co-CEO - Kablamo

Met Office

Met Office

The Met Office is the UK’s national weather service, and is a world leader in providing weather and climate services.

"We hope to use Textract to digitize millions of historical weather observations from document archives. Making these observations available to science will improve our understanding of climate variability and change."

Philip Brohan, Climate Scientist - Met Office

MSP Recovery

MSP Recovery

“Amazon Textract is very impressive. We decided to use Amazon Textract to detect different document formats to process information and data properly and efficiently. The feature is designed to recognize the various different formats it’s pulling text from, whether it’s tables or forms which is an AI dream come true for us. We needed a solution that would be scalable to various documents as we will receive document types on a regular basis and need to be efficient at reading them. With a lean team, we are able to allow the machine learning to handle the heavy lifting by automating reading thousands of documents and allowing our team to focus on higher-order assignments.”

Franklin Perez, Head of Software Development - MSP Recovery

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Amazon Textract Partners

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