Everyone’s focused on #LLMs, #GenAI, and chat interfaces. But most automation strategies fail for a simpler reason: they misunderstand the document. Documents aren’t just text, they are structured, visual, critical systems of record. Treat them that way, or risk building AI on shaky ground. Check out this latest blog post from our technical writer Ivalina S. on why documents matter for a sound AI strategy: https://lnkd.in/gTu4aM7i
Hyperscience
Software Development
New York, New York 23,804 followers
Market leader in enterprise AI infrastructure software, focused on Intelligent Document Processing (IDP)
About us
Hyperscience is a market leader in enterprise AI infrastructure software focused on Intelligent Document Processing (IDP). 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, 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.ai
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 Hypercell
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
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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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In this latest article titled, Top 5 AI adoption challenges facing CFOs in 2026, CFO Dive digs into what experts say about AI investments and how management teams will need to be more strategic and coordinated, with CFOs playing a central role. The article features our CTO Brian Weiss and his thoughts on the future of the #EnterpriseAI. Read the full article here: https://lnkd.in/gsHM_K-6
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AI in government has reached an inflection point. In 2026, success won’t be defined by speed or experimentation, but by trust, transparency, and impact. Three priorities will shape public sector AI: • Trust as a requirement: explainable, auditable systems are now essential • Document automation as the foundation: turning unstructured data into action • Workforce readiness: training and upskilling to drive real ROI The public sector doesn’t need to move fast, it needs to move deliberately, with accountability and citizens at the center. Check out this latest blog post from Trevor DeLew our field CTO for Public Sector: https://lnkd.in/gfZzJiXH #AI #PublicSector #ROI #Government
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Curious about the Enterprise #AI trends in 2026? We have some thoughts to share in our latest blog from our CTO Brian Weiss. The one thing that's clear is that AI won’t be a line item or a lab experiment this year. It will be a core operating capability. The organizations that succeed will be those that recognize this transition early and invest not just in models, but in the systems, governance, and people required to make AI work in the real world. Read the full blog here: https://shorturl.at/Xeixg and follow this space for more such content.
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Logistics moves at the speed of light. Why is your paperwork moving at a snail’s pace? 🐌 Manual document processing is the "silent killer" of profitability in T&L. We partnered with FreightWaves to break down: - The Data: 82% of firms see manual work as a major efficiency hurdle. - The Solution: Moving from manual entry to "Exception-Only" processing. - The Result: Faster payments, fewer customs delays, and a scalable back office. Stop scaling your headcount to manage your paperwork. Scale your technology instead. Read the article: https://shorturl.at/Nyt73 #Innovation #FreightWaves #Hyperscience #SupplyChainStrategy
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Over the past few weeks, headlines exposed a hard truth: documents that look redacted often aren’t secure at all. Black boxes. Hidden text. But underneath? Data that’s still selectable, copyable, and recoverable. That’s not a formatting mistake, it’s a compliance failure. In a world of FOIA requests, GDPR, CCPA, POPIA, AI model training, and third-party data sharing, the difference between hiding text and securing data is no longer academic. It’s existential. In our latest blog Zack Linky, our director of product marketing and head of Analyst & Investor relations breaks down why surface-level redaction tools fall short and how enterprise organizations can securely anonymize data without sacrificing usability, analytics, or AI innovation. Read the full blog and check out the demo here: https://shorturl.at/fNP4g
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In a recent interview with Terry Gerton of Federal News Network our CEO Andrew Joiner provided insight into stricter federal compliance rules and mounting backlogs that have exposed a critical weakness in how states process #SNAP benefits. Modernizing document workflows in these outdated, paper-heavy systems is the key to faster, more accurate aid delivery for millions of families. To learn how, take a listen to his interview: https://shorturl.at/nt8vD
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The 2025–2026 IDC Marketscape confirms a major shift: Intelligent Document Processing has evolved from a back-office tool into a strategic, GenAI-powered enterprise enabler. We’re proud to be recognized as a Leader in the report, which highlights our hybrid AI approach, enterprise-scale focus, and strength in regulated environments. Read the latest blog from Jyotsna Grover to learn more: https://shorturl.at/3583B
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Many organizations start building their own IDP platform and 12–18 months later, they’re still not in production. Our latest TCO model reveals why that happens and shows how Hyperscience cuts costs, accelerates deployment, and delivers a 272% ROI. If you haven't yet, download and check out our Build vs. Buy whitepaper here: https://shorturl.at/5ptlJ #IDP #GenAI #AI #TCO