Enterprises Spend Billions on
MANUAL DATA ENTRY
- Account servicing
- Customer onboarding
- Claims processing
- Insurance applications
- Mailroom processing
Document processing is
CHALLENGING & COMPLEX
- Handwriting and machine print
- Low resolution
- Skews, distortions, upside down
- Sensitive client data
- Millions of pages
No trade off between ACCURACY and AUTOMATION
That is why we’ve built and trained ML models to deliver over 80-95% automation with over 99% accuracy. Our Intelligent Document Processing software lets you set your target level of accuracy and the machine does the rest. That means that whether your documents have messy handwriting, fax lines or other imperfections, Hyperscience reads outside the box and can handle imperfections. We’re also smart about when to involve humans – meaning minimal manual involvement or oversight – and continue to learn on your documents, behind your firewall, to get better over time. It’s meaningful automation, delivered.
Solution in a class of its own
What we do goes far beyond legacy tech like Optical Character Recognition. OCR refers to software that can turn a scanned image into text, typically transcribing it character-by-character. But what happens when your customers write outside the box, the machine sees a field named “Address” and includes it in the output, or there is messy handwriting? OCR is one piece of the document processing puzzle, and it requires pristine conditions to work accurately. Too often, when faced with real-world documents, OCR fails and needs people to manually correct or even redo the work the software should have done in the first place. That is why we’ve redefined document processing using proprietary Machine Learning techniques in order to read messy handwriting, know the difference between what is a response and what should be “dropped out” (like a field name), and transcribe low-quality documents.
What's in our Intelligent Document Processing Solution
Data Entry: First, the platform ingests the data and performs transcription + structuring
Classification: Given user-defined taxonomies, the solution can classify documents into appropriate document types
Sorting: Similarly, given user-defined ordering, the solution will sort through document so that, if you have submitted a package of documents together, these can be passed on to th eappropriate next step
Plug-In API: A wide array of import and export connectors allow you to integrate it with your upstream and downstream with ease
Business Solutions
Use Cases & Case Studies
WE ENABLE ENTERPRISES TO ACHIEVE THEIR BUSINESS GOALS
- Deliver superior client experience
- Accelerate time to revenue
- Decrease operating costs
- Mitigate risks
CASE STUDY: FINANCIAL SERVICES COMPANY
PROBLEM
- Account opening process
- 1M+ handwritten, scanned forms
- Needed to add 60 new data keyers
- Legacy technology (OCR) failed
RESULTS
- 4x Throughput
- 2x Processing Speed
- 50% fewer data keyers
- No Need To Hire 60 People
CASE STUDY: FINANCIAL SERVICES COMPANY
PROBLEM
- Account opening and IRA process
- 60M+ pages annually
- 200+ data keying team
- Legacy technology (OCR) failed
RESULTS
- 4x Throughput
- No Change in Headcount
- Faster Client Response Times
- Ability to Cross-Sell
Need More Details?
We are here to assist. Contact us by phone, email or via our social media channels.