Hypercell
Intelligent Automation
for the Back Office
Hyperscience Hypercell is a fully integrated AI platform that transforms back-office operations and enterprise decision-making. With its modular, composable AI architecture, Hypercell features powerful enterprise capabilities such as FedRAMP High certification for key public sector workloads, multi-vendor cloud support with AWS, Microsoft Azure, and Google Cloud Platform, as well native generative AI code blocks to teach gen AI the language of your business.
Secure, scalable, and enterprise-ready
Hypercell is designed to evolve with your business, adapting to new document types, regulatory changes, and workflow complexities without costly retraining.
Our proprietary model-based architecture enables seamless integration with existing enterprise systems and LLMs, unlocking AI-informed automation without disrupting operations. With governance, auditability, and security at its core, Hypercell ensures enterprises can scale automation with confidence—no matter the volume or variety of documents they process.
What sets Hypercell apart?
01
Purpose-built to solve your document challenges
We’ve done the work to build solutions that solve for complex workflows like SNAP Eligibility and Mortgage Processing as well as high-volume, complex documents like invoices, paystubs, and more.
02
Market-leading accuracy
Customers regularly achieve 99.5% accuracy and 98% automation in their document processing workflows - even with hard to read handwriting.
03
Reduced Total Cost of Ownership (TCO)
Hypercell automatically selects the right model for the job, increasing accuracy and efficiency and reducing costs.
04
Production grade by design
Hypercell provides industrial strength infrastructure required to support document AI initiatives at scale, including advanced data masking, AI-in-the-loop governance, model transparency and support for the latest generation of AI hardware and models, including NVIDIA Blackwell GPUs, Nvidia Nemotron 3, and Google Gemini 1.5 Flash and Gemini 2.5 Pro.
05
Extensive Flexibility
Hypercell is built on a composable, modular architecture that uses standard, pre-built Blocks and Flows for fast time to value while providing the ability to build custom code blocks to meet unique business processes. Flexibility extends to integration with any external system through the use of APIs and multiple deployment methods.
Product Capabilities
[Privacy Guaranteed]
Redaction and Masking
In a world where data privacy and compliance are paramount, ensuring that sensitive information is properly redacted is not just best practice – it’s a necessity.
- Protect sensitive information across documents like medical records, forms, and correspondence.
- Meet regulatory and disclosure requirements (FOIA, GDPR, privacy laws).
- Safely share documents without exposing PII or confidential data.
[Smart Routing]
Agentic Workflow Orchestration
Manage the entire document-based processes from ingestion to final decision - without reliance on fragmented tools or manual intervention. Hypercell features intelligent routing, decision automation, and human-in-the-loop review. The platform dynamically adapts, ensuring precise classification, extraction, and validation of diverse content, integrating into workflows for faster decisions and AI-ready data.
[Decision Engine]
Specialized Models
Leverage proprietary AI and LLMs for accurate, efficient processing of diverse documents, including unstructured data and handwriting. Hypercell offers trainable and pretrained models, an intuitive workflow, and continuous learning through human feedback. Additionally Hypercell includes a no-code trainer for specialized model building and fine tuning. This enables powerful document understanding and automation.
[Instant Understanding]
Zero-shot VLM (ORCA)
Hyperscience uses ORCA, a Vision Language Model (VLM) framework, to enable highly accurate processing of complex and varied documents without prior model training.
In this demo we’ll show you:
- How ORCA simplifies complex data extraction from two different documents.
- How you can interact with ORCA using natural language prompts to define specific extraction requirements.
- How ORCA handles irregular formats, messy handwriting, and specific data output needs in seconds.
[Human Verified]
Human-in-the-Loop
Easily validate, correct data, and fine tune AI models for continuous learning and improved accuracy. Hypercell features an intuitive interface for seamless human-AI collaboration. This ensures high-quality output and handles complex cases where AI needs assistance.
[Faster Reviews]
AI-in-the-Loop
AI-in-the-Loop augments traditional human review by layering intelligent AI agents across your data pipeline - progressively applying machine learning models, including advanced Vision Language Models, to eliminate manual effort at scale. Only the most complex exceptions ever reach a human, keeping your team focused where it matters most. The result is a continuously optimizing workflow, purpose-built for your industry, that maximizes automation and delivers measurably better outcomes.
Deployment options
Automate document-driven workflows anywhere—whether in the cloud, on-premises, or in fully air-gapped environments. Designed for highly regulated industries and mission-critical operations, Hyperscience ensures data remains secure while delivering automation at scale. With options that meet the strictest security and compliance requirements, including FedRAMP High, enterprises can seamlessly integrate Hyperscience into their existing infrastructure, ensuring performance, control, and reliability in any IT environment.
On-Premises
Deploy Hypercell flexibly on-premises for full control over infrastructure and security within your corporate network and datacenter.
Customer Private Tenant (AWS, Google, Microsoft Azure)
Gain maximum control, customize integrations, and meet strict compliance. Secure isolated resources and tailor Hypercell for unique, high-volume processing demands.
Hyperscience SaaS (AWS, Google)
Deploy Hypercell efficiently and process documents scalably, with minimal IT overhead with our SaaS solution running on AWS or Google Cloud. Leverage automatic updates, reduce costs, focus on core business functions. Connect to additional cloud services from these providers from within the same SaaS instance.
FedRAMP High | Palantir
Ensure compliance with the most stringent security and compliance requirements for government agencies and highly regulated industries by deploying Hyperscience as FedRAMP High authorized cloud services.
On-Premises
Deploy Hypercell flexibly on-premises for full control over infrastructure and security within your corporate network and datacenter.
Customer Private Tenant (AWS, Google, Microsoft Azure)
Gain maximum control, customize integrations, and meet strict compliance. Secure isolated resources and tailor Hypercell for unique, high-volume processing demands.
Hyperscience SaaS (AWS, Google)
Deploy Hypercell efficiently and process documents scalably, with minimal IT overhead with our SaaS solution running on AWS or Google Cloud. Leverage automatic updates, reduce costs, focus on core business functions. Connect to additional cloud services from these providers from within the same SaaS instance.
FedRAMP High | Palantir
Ensure compliance with the most stringent security and compliance requirements for government agencies and highly regulated industries by deploying Hyperscience as FedRAMP High authorized cloud services.
(Extensibility)
Build, customize, and scale with blocks and flows
Blocks and flows
Build, modify, and scale workflows effortlessly with a low-code interface, ensuring automation adapts to evolving processes while maintaining full control and transparency. Blocks represent discrete processing functions in the Hypercell - such as document ingestion, classification, extraction, validation, business rule enforcement, decisioning, and LLM-powered analysis - that can be connected and arranged into Flows to meet unique business requirements.
API-first approach
Ensure seamless integration with downstream systems, enterprise applications, and business intelligence tools with the API-first architecture of Hypercell. By treating integrations as configurable Blocks within the workflow engine, organizations can easily connect Hypercell to RPA platforms, databases, content management systems, and custom applications—without complex development work. These integration Blocks enable data to flow effortlessly between systems, ensuring extracted, validated, and enriched information reaches the right destinations in real time. With this flexible, modular approach, enterprises can modernize document-driven workflows while maintaining interoperability across their technology stack.
Custom code
Embed business logic, apply advanced transformations, and integrate proprietary models directly within workflows with Custom Code Blocks. With this flexible approach, organizations can build custom validation rules, implement decisioning logic, enrich extracted data, and trigger automated actions—all within the Hypercell platform. By seamlessly incorporating bespoke logic into Flows, businesses can tailor automation to their unique requirements, ensuring greater control, adaptability, and extensibility across document-driven processes.
(Start building today)
Get started
Take the next step with Hyperscience to future-proof your operations with trusted, accurate data.
You have questions?
We have answers.
We have answers.
The Hyperscience Hypercell is an enterprise AI infrastructure platform that transforms fragmented back-office data into high-fidelity, LLM-ready information. Unlike point solutions, it provides a unified environment for automating complex Intelligent Document Processing (IDP) workflows using proprietary ML models, native orchestration, and low-code applications.
Legacy Optical Character Recognition (OCR) vendors like ABBYY rely on confidence scores which are subjective guesses that often hide errors. Hyperscience uses an integrated Accuracy Harness. You define a specific Accuracy SLA as a required input, and the platform autonomously orchestrates its models and Quality Assurance (QA) to meet that target exactly.
Traditional RPA and IDP tools force humans to review entire documents when a machine fails. The Human-in-the-Loop (HITL) of Hyperscience is hyper-targeted. Through two types of tasks – QA (quality assurance) and Supervision, models are corrected, accuracy is measured, and keyers and knowledge workers alike can review and monitor system performance in adherence with business outcomes required. The system only surfaces the specific fields or single characters where the model falls below your SLA. This reduces handling time and ensures total data integrity and auditability.
The Hypercell is containerized for total flexibility. It runs on-premises, in hybrid clouds, or as SaaS. We support all major hyperscalers including AWS, Azure, and GCP. We also provide specialized air-gapped deployments for highly secure environments through partners like Google Distributed Cloud and HPE.
As a leader in Intelligent Automation for highly regulated industries, Hyperscience is SOC 2 Type II and Cyber Essentials Plus certified. The Hypercell is GDPR and CCPA compliant and offers FedRAMP High authorization. You can learn more in our guide to AI Security for Regulated Industries.
We utilize an API-first strategy. The platform includes native Flow Blocks for seamless integration with AWS S3, Google Cloud Storage, Azure Blob Storage, SAP, Salesforce, Microsoft 365, IBM FileNet and others. It is frequently used to supercharge legacy RPA like UiPath by providing the high-accuracy data that standard RPA cannot extract independently.
Yes. Beyond standard forms, the Hypercell uses advanced Computer Vision and Optical Reasoning to process unstructured content like trust deeds or legal letters. Our proprietary models achieve 98 percent accuracy on handwriting and cursive even in low-quality scans without manual configuration.
The platform acts as a data factory for Generative AI by structuring dark data to fine-tune LLMs or power Natural Language Processing (NLP) experiences. The Hypercell provides the high-fidelity data required to eliminate hallucinations and improve accuracy in Retrieval-Augmented Generation (RAG) workflows.
Using Long Form Extraction, the Hypercell understands context across documents up to 200 pages. It identifies interdependent data points and multiple occurrences of specific clauses. This capability drastically reduces manual legal review time and accelerates enterprise decision-making.
No. The platform is low-code and no-code. Business professionals manage the model lifecycle through an AI-guided co-pilot that suggests labels and detects anomalies. This empowers the people who know the data best to optimize models without writing code.
The Hypercell uses Document Drift Management and AI-assisted layout creation. When unknown variations appear, the system visually clusters them and prompts a business user to approve a new layout in minutes. This ensures the platform adapts to real-world content variations without halting production.
Pricing is volume-based and outcome-driven rather than per-user. The unit cost per page progressively decreases as your volume scales. Tiers range from hundreds of thousands of pages per year to enterprise scales exceeding 1 billion pages annually to ensure ROI at any scale.