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§ Private Profile · New York City, NY, USA
Enterprise software provider offering an AI-powered platform for hyperautomation and data automation, processing documents and back-office data.
Hyperscience has raised $289.0M across 6 funding rounds.
Key people at Hyperscience.
Hyperscience has raised $289.0M in total across 6 funding rounds.
Hyperscience is a New York City-based technology company that develops an AI-powered platform for hyperautomation and data automation, processing documents and back-office data using machine learning and computer vision. The platform automates end-to-end business processes, transforming manual tasks for enterprises in sectors like financial services and healthcare. The company has secured $388.9 million in total funding as of late 2021, including a $100 million Series E round in December 2021, with lead investors such as Global Founders Capital, Tiger, Stripes, and Bessemer. Andrew Joiner currently serves as CEO, overseeing the company's focus on productivity gains and faster decision-making for its clients. Hyperscience was founded in 2014 by Peter Brodsky and a team of machine learning engineers. Its business model centers on enterprise software provider offering input-to-outcome automation platform, funded through venture capital rounds.
Hyperscience has raised $289.0M across 6 funding rounds. Most recently, it raised $100.0M Series E in December 2021.
Key people at Hyperscience.
Hyperscience is an enterprise AI company that builds the Hyperscience Platform, a machine learning-powered solution for intelligent document processing (IDP). It automates the extraction of data from unstructured documents—such as handwritten forms, faxes, and low-resolution images—turning them into structured, actionable data with up to 99.5% accuracy and 98% automation rates, serving enterprises across finance, healthcare, government, and logistics.[1][2][3][5] The platform targets organizations overwhelmed by manual document workflows, solving problems like high costs, slow decisions, error-prone processes, and poor customer experiences by enabling scalable, touchless automation that integrates with existing systems via open APIs.[2][3][4][5] Hyperscience has processed billions of pages, powers operations for clients like Charles Schwab, MetLife, US Social Security Administration, and Volkswagen, and holds leader status in Gartner Magic Quadrant for IDP 2025 and Forrester Wave Q2 2024.[2][3] Its growth is evidenced by FedRAMP High authorization, partnerships with McKinsey and Google Cloud, and a 250-employee hybrid workforce in New York.[1][6][7]
Founded in 2014 in New York, Hyperscience emerged from a vision to challenge outdated document handling reliant on manual labor and legacy tech, which frustrated human experiences like mortgage applications or insurance claims.[1][3] The company's human-centered approach was driven by founders who recognized machine learning's potential to automate office work entirely, starting with proprietary ML models and OCR for superior extraction from complex documents like handwriting.[3][5] Early traction came from rapid deployment—achieving 75-95% out-of-the-box automation in weeks, scaling to over 99% accuracy as models learn—leading to billions of pages processed and trust from Fortune 500 firms.[3][5] Pivotal moments include McKinsey's minority equity stake and collaborations yielding 10x faster processing and 90% cost reductions, plus Google Cloud partnership for enterprise AI scalability.[6][7]
Hyperscience stands out in IDP through these key strengths:
Hyperscience rides the agentic AI and IDP wave, capitalizing on explosive growth in unstructured data volumes amid GenAI adoption, where 80-90% of enterprise info remains trapped in documents.[2][3] Timing is ideal post-2024 analyst validations, as firms modernize for AI-driven decisions amid regulatory demands (e.g., FedRAMP) and labor shortages in back-office ops.[2][6] Market forces like RPA maturation, cloud hyperscalers (Google Cloud partner), and McKinsey-style productivity pushes favor its 98% automation, enabling 300% efficiency in compliance/sales risk tasks.[5][6][7] It influences the ecosystem by future-proofing ops—freeing humans for high-value work, fueling GenAI with clean data, and setting IDP benchmarks that elevate human-machine collaboration across industries.[1][2][3]
Hyperscience is primed for expansion as IDP converges with agentic AI, targeting deeper GenAI integrations and global enterprise wins amid rising data governance needs. Trends like multimodal LLMs and zero-touch workflows will amplify its edge, potentially driving IPO or acquisition as it scales beyond documents into full office automation.[1][2][4] Its influence may evolve from IDP leader to core enabler of AI-native enterprises, consistently delivering the agility that transforms manual drudgery into strategic advantage—echoing its founding mission to elevate human potential through smart machines.[3]
Hyperscience has raised $289.0M in total across 6 funding rounds.
Hyperscience's investors include Bessemer Venture Partners, Global Founders Capital, Stripes, Tiger Global, Arbor Ventures, Benchmark, Citi Ventures, Felix Capital, L Catterton Growth, March Capital, NewView Capital, PS Investments.
