Headquarters
New York, NYFounded
2014CEO / Founder
Andrew JoinerEmployees
201-500Funding
Series E — $439MProducts
1 product listedAvg. AI Score
7.8/10Website
www.hyperscience.comProfile updated
Hyperscience is an enterprise intelligent document processing company founded in 2014 in New York by Peter Brodsky, Vladimir Tzankov, and Krasimir Marinov. The platform uses machine learning and computer vision to automate document understanding and back-office data processing.
Hyperscience serves large regulated organizations including American Express, Charles Schwab, HMRC, Mars, the U.S. Social Security Administration, and the U.S. Department of Veterans Affairs.
The company has raised approximately $439 million across nine rounds, including a $100 million Series E in 2021, backed by Bessemer, Battery, FirstMark, Stripes, and Tiger Global. Andrew Joiner, formerly CEO of InMoment, serves as CEO.
Dated, source-cited figures. Estimates are marked.
All products by Hyperscience reviewed by our AI panel of experts.
Six independent reviewer personalities assessed Hyperscience's product on their own terms. They landed within 0.9 points of each other, an unusually strong consensus.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Who Hyperscience competes with, and how they differ.
Vantage runs on ABBYY's long-standing OCR/AI engine with a low-code Skill Studio for building document workflows across finance, insurance and government — a similarly broad enterprise scope to Hyperscience, but built around packaged OCR tooling rather than Hyperscience's human-in-the-loop model training.
1 product reviewed on TopReviewedInstabase positions itself as a foundation-model-native platform for turning unstructured documents into auditable structured data for the same large regulated enterprises (banking, insurance, government) Hyperscience targets, leaning more on LLM-based extraction versus Hyperscience's proprietary ML-plus-human-review pipeline.
1 product reviewed on TopReviewedIndico focuses specifically on unstructured document automation and decisioning for insurance claims and financial services — a narrower vertical slice of the same regulated-industry buyer Hyperscience serves more broadly across insurance, banking and government benefits.
1 product reviewed on TopReviewedNanonets offers self-serve OCR/IDP workflow-building aimed at mid-market and SMB teams, competing on price and ease of setup rather than the enterprise-scale accuracy guarantees and FedRAMP High-authorized government deployments Hyperscience sells on.
1 product reviewed on TopReviewedOcrolus specializes in financial-document verification (bank statements, pay stubs, tax forms) for lenders, overlapping with Hyperscience's mortgage- and lending-processing use cases but without Hyperscience's reach into insurance, government benefits and freight billing.
1 product reviewed on TopReviewedreciTAL applies NLP-driven extraction and classification to business documents for European enterprises, competing on cross-lingual document understanding — a narrower technical niche than Hyperscience's end-to-end human-in-the-loop automation platform.
1 product reviewed on TopReviewedKey milestones in Hyperscience's history, with sources.
Named a Leader in the first-ever Gartner Magic Quadrant for Intelligent Document Processing Solutions
Hyperscience was positioned furthest for Completeness of Vision among 18 vendors evaluated in Gartner's inaugural IDP Magic Quadrant.
hyperscience.aiAndrew Joiner appointed Chief Executive Officer
Joiner, previously CEO of InMoment and a former HP Software/HP Autonomy executive, took over as permanent CEO, succeeding the interim leadership installed after the 2022 restructuring.
hyperscience.aiLaid off ~100 employees (25% of staff); co-founder CEO Peter Brodsky steps down
Cuts followed the company missing financial targets for the fiscal year ended February 28, 2022, after over-expanding sales and marketing. COO Charlie Newark-French took over as interim CEO. Came roughly three months after the $1.65B Series E.
automationtoday.netSeries E — $100M at a $1.65B post-money valuation
Led by existing investors Global Founders Capital, Tiger Global, Stripes and Bessemer; brought nearly 400 global employees (a 72% YoY increase). The Information reported the round valued the company at $1.65 billion post-investment.
hicounselor.comAcquired Boxplot, a Berlin-based graph data modeling startup
Hyperscience's first acquisition; Boxplot's graph data modeling tool lets customers visualize relationships across their data. Deal signed December 6, 2021.
hyperscience.aiSeries D — $80M led by Tiger Global
New investor BOND joined; Bessemer Venture Partners and existing major investors also participated. Announced five months after the Series C, bringing total funding to $190M.
prnewswire.comSeries C — $60M led by Bessemer Venture Partners
Participants included Tiger Global Management, Stripes Group, FirstMark Capital, Battery Ventures, Felicis Ventures and 3KVC, bringing total funding to $111M.
globalventuring.comSeries B — $30M led by Stripes Group
Round included existing investors FirstMark Capital and Felicis Ventures plus new investors Battery Ventures, Global Founders Capital, TD Ameritrade and QBE, bringing total funding to $50M.
techcrunch.comSeries A — $18M led by FirstMark Capital and Felicis Ventures
HyperScience exited stealth with an $18 million Series A, with participation from Third Kind Ventures, AME Cloud Ventures, Slow Ventures, Box Group, and Acequia Capital.
techcrunch.comFounded in Sofia and New York by Peter Brodsky, Krasimir Marinov, and Vladimir Tzankov
Peter Brodsky (a serial entrepreneur previously of SoundCloud/Instinctiv) co-founded Hyperscience with engineers Krasimir Marinov and Vladimir Tzankov, building an R&D unit in Sofia, Bulgaria alongside its US headquarters.
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