94% of executives and IT professionals believe #AI initiatives will fail without staff who can use AI tools effectively, yet only 12% have significant experience working with the technology, reveals a new survey. Moreover, only 40% of organizations offer formal structured AI training. Both leaders and tech professionals must learn to leverage #AI to stay on the cutting edge. Joe McKendrick shares tips for building a well-trained workforce in ZDNET >> https://lnkd.in/eDed_4em
Hyperscience
Software Development
New York, New York 20,297 followers
Market leader in hyperautomation and provider of enterprise AI infrastructure software
About us
Hyperscience is a market leader in hyperautomation and a provider of enterprise AI infrastructure software. The company is on a mission to unlock the value of an organization’s back office data and documents through the automation and orchestration of end-to-end processes. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue, positive and engaging customer, citizen, and patient experiences, and dramatic increases in productivity. Leading organizations across the globe rely on Hyperscience to drive their hyperautomation initiatives, including American Express, Charles Schwab, Fidelity, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, and The United States Veterans Affairs. The company is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global.
- Website
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http://hyperscience.com
External link for Hyperscience
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- New York, New York
- Type
- Privately Held
- Founded
- 2014
- Specialties
- Artificial Intelligence, Machine Learning, Intelligent Automation, Intelligent Document Processing, Insurance Automation, Data Extraction, Digital Transformation, Business Process Automation, Business Process Management, Financial Process Automation, Enterprise Solutions, Robotic Process Automation, Billing & Payment Solutions, Smart Document Processing, Document Capture, Invoice Processing, Electronic Data Capture, Handwritten Text Recognition, and Customer Onboarding
Products
Hyperscience Platform
Optical Character Recognition (OCR) Software
Powered by machine learning, Hyperscience provides the most accurate intelligent document processing platform on the market. By combining artificial intelligence with a human-centered approach, Hyperscience elevates business processes to a higher level—unlocking actionable knowledge with unrivaled precision.
Locations
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Primary
One World Trade Center
88th Floor
New York, New York 10007, US
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59 D-r G.M. Dimitrov Blvd
Floor 15, NV Tower, 1756
Sofia, Sofia 1756, BG
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Leuschnerdamm 13
Berlin, 10999, DE
Employees at Hyperscience
Updates
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Our CEO Andrew Joiner recently spoke to The Recursive to discuss how advancements in #AI are shaping our business strategy, our growth ambitions that start with building the right team, and top business goals for 2024. Check out the interview here: https://lnkd.in/g8nwy2Gt
Andrew Joiner, CEO Of Hyperscience: We Have All Layers Of Talent In Our Bulgarian Office - From Core ML To App Engineering To Product Innovation
https://therecursive.com
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Brillient Corporation faced the challenge of digitizing documents for their federal clients. Leveraging our advanced automation capabilities, Brillient successfully transformed their document processing operations for greater efficiency and accuracy. Read the full case study here >> https://lnkd.in/gw2tuHVn
Brillient Digitizes Documents for a Federal Agency with Hyperscience - Hyperscience
https://www.hyperscience.com
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90% of futurists are optimistic about the changes that #AI will bring to the way we work — but don't go in blindly, as major disruptions are on the way. Joe McKendrick explores how AI will change the way we work in Forbes, from entry level jobs to AI assistants >> https://lnkd.in/gxn9FTcG
Futurists Positive About AI’s Impact On Jobs, Urge Wide Perspective
forbes.com
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We are glad to have supported the Data Science Society's recent event "Techniques for Synthesizing Datasets"! This topic speaks to Hyperscience and our history. Building truly best-in-class ML models like our handwriting recognition models requires best-in-class datasets — one cannot just download a widely available dataset; it requires creativity and thinking about ways to synthesize the "perfect" training data for a specific use case. Even if there is a lot of customer data, using it in your own training datasets is not always an option because of PII. A few of our teammates joined the event and embraced the shared knowledge. Huge shoutout to the speakers and the organizers for a great event and presentation. Hyperscience continues to grow and we're looking for great talent to join our team. If you are curious about open positions, please visit: https://lnkd.in/gqivZZav
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▶️ Our CEO Andrew Joiner explains how Hyperscience achieves 99.5% accuracy and 98% automation rates for the back office. Watch the full interview with SiliconANGLE & theCUBE here >> https://lnkd.in/gacXnSUR
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Leading healthcare company divvyDOSE faced challenges in processing incoming fax images. Here's how Hyperscience's #hyperautomation for document processing helped ⏬ ✅ Eliminated time-consuming manual data entry ✅ Improved productivity ✅ More efficient workflows ✅ Enhanced customer satisfaction Find out more >> https://lnkd.in/ghwfR3_P
divvyDOSE Revolutionizes Document Processing with Hyperscience - Hyperscience
https://www.hyperscience.com
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Fresh from #GoogleCloudNext, Randy Cairns, our SVP of Marketing, brings back insights from the forefront of #AI innovation. Dive into Randy’s analysis as he unveils the emerging trends shaping the future of enterprise AI: https://bit.ly/3UjWlQ0
Google Cloud Next: All AI all the time – 5 key takeaways
https://www.hyperscience.com
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Discover how Hyperscience helped one #SupplyChain management company improve data accuracy, streamline training, and simplify technical requirements for improved operations ➡️ https://lnkd.in/gTrueXqA
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Every organization should be able to benefit from AI — while also ensuring that it is human centered and socially beneficial. 🌍 In this piece for Forbes, Dr. Bruce Weinstein, The Ethics Guy® explains the 7 qualities all leaders should employ to lead ethically with #AI. Read them here: https://lnkd.in/ghVarDZk
AI Ethics: 7 Crucial Qualities Of Ethical Leadership
forbes.com