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Data & Memory LayerSeries EInfra

Hyperscience

Document intelligence becomes reliable enterprise data.

Company snapshot

Stage
Series E
Funding
Series E · $100M · Dec 22, 2021
Status
published
Updated
Apr 6, 2026
Views

What they're building

Document intelligence becomes reliable enterprise data. Hyperscience uses proprietary machine learning and human review to turn complex documents into structured, reliable data for automated business processes and AI applications.

Foundation model usage

Editorial estimates from product descriptions. Model providers and actual usage are not confirmed.

Inferred architecture
Agentic loops, Batch document processing, Code generation
Potential advantages
Proprietary data
Estimated model demand
Moderate intensity

NYC footprint

Documented NYC location
285 Fulton Street, Floor 88, New York, NY 10007 · Current occupancy not confirmed; see sources below.

Funding

Latest funding: Series E · $100M · Dec 22, 2021. Total raised: $299M. Lead investor: Global Founders Capital, Tiger Global, Stripes and Bessemer.

AI Lab Fit

Strong fit for embeddings, retrieval, extraction, document intelligence, multimodal parsing, and persistent context layers for AI applications.

Sources & location evidence

Open research desk ↗

Profile source review: 2026-11-04. Canonical company site now redirects from hyperscience.com to hyperscience.ai. Company office page gives One World Trade Center, floor 88; landlord tenant material corroborates its tenancy. Series E is the last named round verified.

Manhattan · verified headquarters

285 Fulton Street, Floor 88, New York, NY 10007. Current occupancy not confirmed. Company publishes its NYC office at One World Trade Center, floor 88. Company-hosted profile identifies NYC headquarters. Current landlord brochure corroborates building tenancy.

Hyperscience - Our global offices ↗

Source checked 2026-11-03

Notes

Hyperscience is tagged infra based on buyer clarity, repeat workflow activity, public activity, and fit with the AI Atlas map.

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