Hyperscience is an advanced enterprise AI platform specializing in Intelligent Document Processing (IDP) and Natural Language Processing (NLP). It transforms business process automation by leveraging sophisticated machine learning and AI technologies. The platform is designed to automate complex workflows, enhancing accuracy and productivity while reducing manual data entry and processing times. Hyperscience's IDP capabilities allow it to classify, extract, and validate data from a wide range of document formats, including structured, semi-structured, and unstructured forms, as well as handwritten text. This functionality is particularly valuable in industries dealing with large volumes of paperwork, such as finance, healthcare, and government. Hyperscience is committed to maintaining the highest standards of security and compliance. The platform is FedRAMP High Authorized and adheres to SOC 2 Type-2 accreditation, ensuring robust data governance, sovereignty, security, and privacy. It supports full data encryption in transit and at rest, along with Single Sign-On (SSO) capabilities for secure access. Hyperscience's infrastructure is horizontally scalable, allowing it to handle billions of documents and data points efficiently. The platform supports deployment in various environments, including on-premises, hybrid, or entirely SaaS-based options, providing flexibility for clients with different security and compliance needs. With its powerful automation capabilities and commitment to enterprise standards, Hyperscience empowers organizations to streamline operations, enhance accuracy, and boost productivity significantly.
Hyperscience offers superior security and compliance features, which are essential for handling sensitive data. The platform is FedRAMP High Authorized, demonstrating its commitment to maintaining the highest standards of security and compliance. This certification, combined with exceptional ratings in security and compliance, reassures clients that their data is safeguarded. Hyperscience's ability to process a wide range of document types, including those with imperfections like handwritten notes and fax marks, sets it apart from traditional OCR solutions. This capability is particularly valuable for organizations dealing with varied and complex document sets, allowing them to unlock data previously trapped in unstructured documents.
Seller
Hyperscience
HQ Location
New York City, New York, USA
Company Website
https://www.hyperscience.com/
Contact
+1 4159449737
Year Founded
2014
AI-Powered Intelligent Document Processing (IDP)
Natural Language Processing (NLP)
Machine Learning (ML) Technology
Proprietary ML Models
Free Form Text Fields in Custom Supervision
Multiple Tables Automation
Third-Party Integrations
File Storage
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How is Hyperscience in terms of value for money?
for my 10000 people companyHow is Hyperscience in terms of ease of use?
for my 10000 people companyEnglish
Where does Hyperscience have offices in GCC?
Not available.
Who are Hyperscience customers in the Middle East?
Not available.
What is Hyperscience local address?
Not available.
Is Hyperscience Platform available in Arabic?
Not available.
Does Hyperscience platforms use AI? And where?
Hyperscience platforms use AI extensively. Here are some key areas where AI is applied:
Intelligent Document Processing (IDP): Hyperscience leverages AI to automate the extraction and processing of data from various document types, including structured, semi-structured, and unstructured forms, as well as handwritten text. This involves using machine learning algorithms to classify, extract, and validate data with high accuracy.
Natural Language Processing (NLP): The platform's NLP capabilities enable it to comprehend and analyze unstructured text data, extracting meaningful insights from complex documents. This is particularly useful for interpreting nuanced content within long-form documents like contracts and insurance policies.
Generative AI (GenAI): Hyperscience integrates with large language models (LLMs) like ChatGPT to enhance document processing. For example, it can generate training data for unstructured documents, summarize documents, and perform code generation tasks. The Hypercell for GenAI solution automatically annotates, labels, and structures data from documents to fine-tune LLMs and GenAI experiences.
What AI does Hyperscience use, ChatGPT, etc.?
Generative AI
Large Language Models
ChatGPT.
Is Hyperscience a web3 company?
No.
Are there any web3 components in Hyperscience?
No.
Hyperscience
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