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(Beyond Scale AI)

The trusted alternative for enterprise data preparation & document intelligence

As the AI data landscape shifts, secure your competitive edge with a neutral partner and unparalleled accuracy for your most critical documents and AI initiatives.

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A Turning Point for
Trusted AI Data

The AI ecosystem is undergoing a major shift as Meta’s investment in Scale AI raises urgent concerns around data neutrality, privacy, and competitive exposure. For enterprises developing proprietary models – often using sensitive, document-based data – scaling AI requires more than just speed; it demands trust, accuracy, and control.

  • Neutral and Secure: Avoid conflicts of interest with a platform not owned by an AI lab or competitor.

  • Enterprise-Grade Accuracy: Extract structured, high-quality data from complex, messy documents with precision.

  • Privacy by Design: Maintain full control over sensitive proprietary data while preparing it for AI training at scale.

(A Trusted Alternative)

Transform Your Data with Confidence

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The Shift Away from Scale AI

As companies move away from Scale AI, trust and data neutrality are now mission-critical.

API First

Secure, Accurate Data Transformation

Hyperscience transforms messy documents into secure, structured, and RAG-ready training data - accurately and at scale.

Custom Code

Why Enterprises Trust Hyperscience

Discover how leading enterprises are choosing Hyperscience for secure, unbiased, and future-proof AI data solutions.

Power AI with Secure, Neutral, and Accurate Data

Hyperscience Hypercell provides secure, accurate, and neutral intelligent document processing and data preparation, enabling enterprises to confidently build and scale their most critical AI applications, including GenAI.

Platform Benefits

Vendor Neutrality

Independent, not owned by a competing AI lab.

Enterprise-Grade Security

FedRAMP High, HIPAA, SOC 2.

Synthetic Data Generation

Train without real, sensitive data.

Unparalleled Accuracy

99.5% on messy, handwritten docs.

Multi-Modal IDP

Processes text, visual, context.

RAG-Ready Data

Prepares proprietary data for LLMs.

Human-in-the-Loop (HITL)

Guaranteed accuracy SLAs.

Market leaders across industries rely on Hyperscience to automate processes and modernize operations.

American Express

American Express

Charles Schwab

Charles Schwab

MetLife

MetLife

Mutual of Omaha

Mutual of Omaha

Stryker

Stryker

Volkswagen

Volkswagen

California Dept. of Corrections

California Dept. of Corrections

US Social Security Administration

US Social Security Administration

United States Veterans Affairs

United States Veterans Affairs

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(Get your questions answered)

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Talk to an expert about the need for secure AI data within
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