Hyperscience
Founded 2014 Β· 203 employees on LinkedIn Β· 10 known investors
Hyperscience builds AI-powered document processing software that automates the reading, understanding, and processing of complex data and documents at scale for enterprises and government agencies. The platform delivers 99.5% accuracy, integrates with existing systems, and provides structured data to train AI models with business-specific governance.
Also known as HyperScience
Founders & leadership
Hyperscience was founded in 2014 by Krasimir Marinov.
Investors Β· 10
Also in the syndicate Β· 1
Company profile
researched Aug 2026Hyperscience develops enterprise AI infrastructure software focused on Intelligent Document Processing (IDP). Its Hypercell platform reads, classifies, extracts and processes structured and unstructured documents β including handwritten content β at scale, converting back-office document flows into structured data that can feed downstream systems or be used as LLM- and RAG-ready inputs for generative AI applications. The company states accuracy rates of 99.5%, 98% automation, and billions of pages processed, and describes its platform as FedRAMP High authorized.
The product is positioned around a machine-learning, "model-first" architecture with proprietary human-in-the-loop functionality, and it is designed to integrate with customers' existing technology stacks and downstream processes. Hyperscience also markets its ability to automatically label, annotate and structure complex documents so enterprises can fine-tune large language models on proprietary data with governance, security and compliance controls. Recent public-facing materials describe the offering as an agentic AI platform and reference a vision language model branded ORCA.
The company was co-founded in 2013 by Peter Brodsky, who served as CEO from 2014 until 2022; Andrew Joiner is the current CEO. Other named executives include CTO Brian Weiss, Chief People Officer Caron Cone, General Counsel Erin Millender, CFO Harold Dahringer, EVP of Global Revenue JJ Trahan, and marketing leader Randy Cairns.
Founding story
Peter Brodsky co-founded Hyperscience in 2013 after founding earlier startups (Instinctiv, SaySoSoft) and serving as a director at SoundCloud; he became CEO in May 2014 and held the role until March 2022, when he stepped down amid a round of layoffs.
Business model
Enterprise software vendor selling an AI document-processing platform to large organizations and public sector agencies, deployed alongside and integrated with customers' existing systems; the company reports double-digit year-over-year revenue growth.
Enterprise software sales to corporations and government agencies; specific pricing or contract structures are not disclosed in available sources.
Traction
Publicly cited operating metrics include 99.5% accuracy, 98% automation, and billions of pages processed. The company reported nearly 400 global employees in December 2021 (up 72% year-over-year) and revenue growth of nearly 1,000% over three years per the Inc. 5000 2021 list, followed by an approximately 25% workforce reduction in early 2022. Its about page cites continuing double-digit year-over-year revenue growth. A customer case study reports Hirschbach cut "days to bill" by over 60%.
Latest developments
Recent items on the company's site include being named a Leader in the first Gartner Magic Quadrant for Intelligent Document Processing Solutions (2025) and a Leader and Customer Favorite in the Forrester Wave for Document Mining and Analytics Platforms, Q2 2026; an AI Breakthrough award naming Hyperscience the IDP Platform of the Year; a Hirschbach Motor Lines deployment cutting days-to-bill by more than 60%; and the State of Missouri's use of Hypercell for SNAP benefits processing, which won the Hyperscience Public Sector Impact Award.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
Positioned as a market leader in intelligent document processing, named a Leader in the first Gartner Magic Quadrant for Intelligent Document Processing Solutions (2025), the Forrester Wave for Document Mining and Analytics Platforms (Q2 2024 and Q2 2026, the latter also as a Customer Favorite), the GigaOm Radar for IDP (Leader and Outperformer), the IDC MarketScape for Worldwide Unstructured IDP Software 2024, the ISG Buyers Guide for IDP, and the Everest Group PEAK Matrix Assessment 2025 for IDP Products.
Emphasizes accuracy on difficult inputs such as handwriting, a model-first ML architecture combined with human-in-the-loop review, extensibility and embeddability via human-readable code, FedRAMP High authorization for government workloads, and output of governed, structured data suitable for training and fine-tuning enterprise LLMs.
Technology
Machine-learning architecture for document understanding, including handwriting recognition and processing of both structured and unstructured documents; proprietary human-in-the-loop review; a vision language model referred to as ORCA; automated labeling, annotation and structuring of documents to produce LLM/RAG-ready training data; extensible via human-readable code (e.g., Python) per Forrester's assessment; FedRAMP High authorization for public sector deployments.
Go-to-market
Direct enterprise and public-sector sales supported by a global revenue organization, plus a partner channel of large IT consulting and systems integration firms including Accenture, Atos, Cognizant, Deloitte, Infosys and Tata Consultancy Services. Marketing leans heavily on third-party analyst recognition (Gartner, Forrester, IDC, GigaOm, ISG, Everest PEAK Matrix), customer case studies and awards.
Large enterprises in regulated industries β financial services, insurance, healthcare/medical devices, transportation and logistics, manufacturing β plus federal, state and local government agencies. Named customers include American Express, Charles Schwab, MetLife, Mutual of Omaha, Stryker, Volkswagen, Mars, Hirschbach Motor Lines, Hanger Clinic, DISA Global Solutions, HM Revenue and Customs, the California Department of Corrections, the Missouri Department of Social Services, the US Social Security Administration and the US Department of Veterans Affairs.
Geography
Headquartered in New York, United States, with global customers and public-sector deployments in the US (Social Security Administration, Department of Veterans Affairs, State of Missouri, California Department of Corrections) and internationally (e.g., HM Revenue and Customs in the UK).
History
Founded in 2013 and based in New York, Hyperscience grew rapidly through 2021, with the Inc. 5000 2021 report citing revenue growth of nearly 1,000% over a three-year window and headcount reaching nearly 400 employees, a 72% year-over-year increase. In December 2021 the company completed its first acquisition, buying graph data modeling startup Boxplot, and raised a $100 million Series E. In March 2022 press reports stated that Hyperscience laid off roughly 100 employees (about 25% of staff) and that co-founder and CEO Peter Brodsky stepped down. The company subsequently continued under CEO Andrew Joiner and has been recognized as a Leader by six analyst firms across 2024-2026 evaluations of intelligent document processing and document mining platforms.
Risks & controversies
In March 2022, reporting indicated Hyperscience laid off approximately 100 employees (roughly 25% of staff) and that co-founder and CEO Peter Brodsky stepped down; the reporting attributed missteps to a hiring blitz in sales and marketing while the software was not resonating with customers as strongly as hoped. Note that a similarly named company, HyperSciences Inc. (hypersciences.com), operates in hypersonic tunneling and mining and is unrelated.
Compiled by commissioned research from 7 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Timeline Β· 12
launches, deals, and filingsRecognized for leadership in intelligent document processing among 5,000 global nominations.
Hyperscience laid off roughly 100 employees, about 25% of its workforce, according to reporting citing The Information.
Reports indicated Peter Brodsky, co-founder and CEO, stepped down; his CEO tenure is listed as May 2014 to March 2022.
Series E led by existing investors Global Founders Capital, Tiger, Stripes and Bessemer, intended to fund talent and R&D organically and through acquisition, and to expand language, voice and image support.
$100M source β
Hyperscience acquired Boxplot, a graph data modeling software startup enabling organizations to visualize and understand customer data and its relationships across the organization; described as Hyperscience's first acquisition.
The Inc. 5000 report for 2021 cited Hyperscience revenue growth of nearly 1,000 percent over a three-year window.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
βΈResearch sources Β· 7
primary sources listed
- Hypersciencehyperscience.com Β· web
7 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Hyperscience do?
- Enterprise AI software company whose Hypercell platform automates intelligent document processing for regulated industries and government.
- Who founded Hyperscience?
- Hyperscience was founded by Krasimir Marinov in 2014.
- Who are Hyperscience's investors?
- Hyperscience's investors include Acequia Capital (AceCap), Bessemer Venture Partners, Dcode Capital, FirstMark Capital, Flucas Ventures, PROOF, SINEWAVE VENTURES, Stripes and 1 more.





