Hyperscience
Agentic AI platform that reads, understands, and processes millions of complex documents into trusted, structured data at enterprise scale.
By Hyperscience · HQ New York, US · 4.3/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Large enterprises and public agencies processing high volumes of unstructured documents such as claims, invoices, forms and handwritten records.
- Regulated organizations that need FedRAMP High, SOC 2 Type II and HIPAA/GDPR-aligned document automation with claimed 99.5% extraction accuracy.
- Insurance, financial services, healthcare, logistics and government operations teams replacing manual keying and review.
- Buyers needing deployment flexibility across managed SaaS, private cloud or on-premise.
Ideal size: 100+ employees (shared services / ops) people · Enterprise with shared-services or automation CoE ownership
Not for
- Small teams wanting a self-serve, low-cost document extraction tool with published list pricing.
- Organizations without meaningful document volume or a back-office process to automate.
- Buyers who cannot fund an implementation project backed by professional services.
Value metrics scorecard
Time-to-Value
3–6 months (typical enterprise rollout)
~90 days to first production value
Total Cost of Ownership
On request
Quote-based enterprise agreements; no published list price. Delivered as managed SaaS, private cloud or on-premise.
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- Professional services: implementation, project management, model building, layout creation and managed keying, quoted separately.
- Customer must hold its own OpenAI license agreement to enable the optional GPT-4 integration.
Company & support
Who is behind Hyperscience, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- New York, US
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsPlan not stated
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerPlan not stated
- In person / on-siteNot listed
- Hours
- 24/7
- Response time
- Not stated
24x7 critical response for production issues, 365 days a year. Standard channels include email, the customer portal and scheduled screen share. Implementation, forward-deployed engineering and ongoing customer success run from signature through go-live.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Hyperscience sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Hyperscience
- NextGen Healthcare
- Instrumental
- Qlik Sense
- Quinyx
- Edmunds GovTech
Add or change companies
Up to 10 companies including Hyperscience. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Hyperscience ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes an agentic AI/ML platform for document processing with its own vision language model (ORCA) and multi-model orchestration. Core document workflows do not depend on third-party LLMs; customers may optionally enable GPT-4 or Llama 2 for extra tasks. No per-action AI audit or export is documented.
Your data & models
- Trains on your data
- Only if you opt in
- Runs on
- OpenAI, Its own models
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Bring your own key
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Hyperscience is an enterprise AI platform for intelligent document processing: it reads, understands, and extracts data from structured and unstructured documents, including handwriting, at a claimed 99.5% accuracy. It is a Gartner Magic Quadrant and Forrester Wave Leader for document mining, and targets regulated enterprises and the public sector with FedRAMP High authorization, SOC 2 Type II, and HIPAA/GDPR-aligned controls. Pricing is quote-based, delivered as managed SaaS, private cloud, or on-premise.
Frequently asked questions
What does Hyperscience actually automate?
It is an intelligent document processing platform. It classifies, reads and extracts data from structured and unstructured documents, including handwriting, then passes clean structured output to downstream systems. Vendor materials claim 99.5% accuracy, 98% automation and billions of pages processed, and the platform is marketed as an agentic AI layer for document-heavy processes such as claims, invoices, benefits applications and loan files.
How is Hyperscience priced?
There is no published list pricing. Engagements are quoted as enterprise agreements and can be delivered as managed SaaS, private cloud or on-premise. Professional services - implementation, model building, layout creation and managed keying - are scoped separately, and enabling the optional GPT-4 integration requires the customer to hold its own OpenAI license. Expect a procurement cycle, not self-serve checkout.
How long does implementation take?
No fixed timeline is published. The vendor's services team manages the plan from signature to go-live, covering infrastructure, layout and model building and quality assurance, and positions this as keeping time-to-value low. The IDC business value study cited by Hyperscience reports payback in roughly seven months with a three-year 615% ROI, implying first value inside the first year for typical enterprise rollouts.
Is Hyperscience authorized for US federal use?
Yes. The security page states the SaaS offering, delivered with Palantir FedSTART, holds FedRAMP High authorization covering more than 400 controls. The company also reports TX-RAMP Level 2, SOC 2 Type II and Cyber Essentials Plus. Public-sector references include the Social Security Administration, Veterans Affairs, the California Department of Corrections and the Missouri Department of Social Services.
Does Hyperscience train AI models on our data?
The privacy FAQ states Hyperscience does not have access to customer models or training data without explicit approval, and that data used for customer-specific model training or debugging is deleted when the request completes and used for no other purpose - effectively opt-in. Core document workflows do not rely on third-party LLMs; customers can optionally enable GPT-4 (with their own OpenAI license) or Llama 2 for additional tasks.
What support is included?
Support includes documentation plus API and Flows SDK references, a customer portal for submitting cases, email and scheduled screen-share channels, and 24x7 critical response for production issues, 365 days a year. Implementation, ongoing customer success and forward-deployed engineering come through the services organisation. Specific SLAs and support entitlements are contract-specific and not published.