V7
vs.

Why choose V7 over Hyperscience?
Both platforms automate document-intensive workflows. V7 Go adds specialized AI agents and visual grounding, while Hyperscience focuses on IDP extraction.
Visual Source Verification
V7 Go provides AI citations that visually link every extracted data point to its exact location in source documents, enabling interactive verification and compliance audit trails.
Pre-Built Specialized Agents
V7 Go offers 300+ pre-built AI agents designed for specific roles across finance, legal, insurance, and real estate, enabling faster deployment than building extraction workflows from scratch.
Rapid Implementation
V7 Go delivers measurable outcomes within 11 days through white-glove service with solution engineers, compared to longer enterprise implementation cycles typical of traditional IDP solutions.
Features
What makes V7 Go the best Hyperscience alternative
Compare document automation capabilities and enterprise features
V7

Hyperscience
Document extraction accuracy
Pre-built industry agents
Low-code workflow builder
Enterprise compliance
Human-in-the-loop review
Hyperscience pricing explained
Both platforms offer custom enterprise pricing based on usage and requirements
V7
Base platform fee plus user licenses and usage-based data processing charges
White-glove service includes custom integrations and specialized agent development
Free proof of concept with sample documents before commitment

Hyperscience
Custom enterprise pricing with no published rates or self-service options
Pricing based on document volume, integration scope, and security requirements
Traditional enterprise sales cycles with custom implementation timelines
Comparing V7 Go and Hyperscience capabilities
Understanding enterprise pricing and implementation approaches
V7
Enterprise AI automation platform with specialized agents and visual grounding
V7 Go is an enterprise AI automation platform that extends beyond document extraction to deliver end-to-end workflow automation through specialized AI agents. The platform provides over 300 pre-built agents for finance, legal, insurance, and real estate, with visual grounding that traces every AI output to its exact source location in documents. V7 Go achieves 95-99% accuracy on document processing benchmarks and supports 1M+ token context windows for large document bundles. The platform includes a low-code visual workflow designer accessible to business users, plus white-glove service with solution engineers who build custom integrations and industry-specific agents.

Hyperscience
Enterprise intelligent document processing with ML-driven extraction
Hyperscience is an enterprise AI platform recognized as a Leader by six tier-one analyst firms including Gartner, Forrester, and IDC for intelligent document processing. The platform uses proprietary machine learning models to achieve up to 99.5% accuracy on data extraction from structured and unstructured documents, including handwriting and complex forms. Hyperscience serves major enterprises like American Express, Charles Schwab, and MetLife, as well as government agencies including the US Social Security Administration. The platform is FedRAMP High authorized and offers agentic document automation capabilities that streamline multi-step workflows across enterprise systems.
Trusted by teams shipping AI to production
What customers say after choosing V7 Go
Integrate with 2000+ apps and services
Everything you need to run AI in production
A complete platform for document intelligence and workflows
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate

Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work
Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Index Knowledge
All Knowledge in One Place

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis

Investment memo generation

AI contract review

Property valuation AI

Claims processing automation

Financial statement analysis

Real estate lease abstraction

Portfolio management automation

Offering memorandum analysis

Insurance claims automation

OCR + data extraction

Due diligence automation

Pitch deck analysis

Document processing AI

Investment banking analysis

Insurance underwriting automation

Data room analysis

10-Q report analysis

Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
FAQs
Any more questions?
How does V7 Go's visual grounding compare to Hyperscience's audit trail capabilities?
Both platforms provide audit trail capabilities for compliance, but they approach source verification differently. V7 Go's visual grounding creates interactive AI citations that link every extracted data point to its exact location in the source document, allowing users to click on any output and see the highlighted source text or region. Hyperscience provides QA processes and audit trails focused on validating extraction accuracy using consensus methods. For organizations that need to quickly verify AI outputs during human review or demonstrate data provenance to auditors, V7 Go's interactive approach may offer advantages, while Hyperscience's validation methods are well-suited for high-volume extraction workflows.
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What are the key differences in document processing accuracy between the platforms?
Hyperscience reports up to 99.5% accuracy on document extraction using proprietary ML models optimized over years of enterprise deployments, with particular strength in handwriting recognition and complex forms. V7 Go achieves 95-99% accuracy on document processing benchmarks while adding visual source verification that allows users to validate outputs against source documents. Both platforms support human-in-the-loop review for quality assurance. The choice may depend on whether your priority is maximum extraction accuracy for high-volume processing or the ability to visually verify and trace outputs for compliance purposes.
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How do the platforms differ in their approach to workflow automation?
Hyperscience focuses primarily on document-centric automation with agentic capabilities for multi-step document workflows, classification, extraction, and validation. V7 Go takes a broader approach with specialized AI agents designed for specific roles and industries, combined with a low-code visual workflow designer that enables business users to build complete automation pipelines with conditional logic and human review stages. V7 Go's approach extends beyond extraction to include analysis, reasoning, and integration with external systems, while Hyperscience excels at high-accuracy document processing within its IDP focus.
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Which platform is better suited for specific industries like finance or insurance?
Both platforms serve regulated industries effectively. Hyperscience has proven deployments at major financial institutions like American Express and Charles Schwab, as well as insurance companies like MetLife, with FedRAMP High authorization for government use. V7 Go offers 300+ pre-built specialized agents across finance, legal, insurance, and real estate, with agents designed for specific roles like financial planning analysts, legal bill auditors, and claims processors. Organizations may prefer Hyperscience for high-volume extraction workflows or V7 Go for role-specific automation with visual grounding.
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How do implementation timelines and support models compare?
V7 Go emphasizes rapid implementation with white-glove service, offering proof of concept within days and measurable outcomes within 11 days of first contact. Solution engineers build custom integrations and design industry-specific AI agents as part of the service. Hyperscience follows traditional enterprise sales cycles with implementation timelines that vary based on deployment complexity, integration requirements, and security needs. Both platforms offer enterprise support, but V7 Go's approach may suit organizations seeking faster time-to-value, while Hyperscience's model is established for large-scale enterprise deployments.
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Can both platforms integrate with existing enterprise systems and legacy infrastructure?
Both platforms offer enterprise integration capabilities. Hyperscience provides native connectors to AWS, Google Cloud, and Microsoft Azure, along with API connectors for ERP, CRM, and custom systems, with support for on-premise and air-gapped environments. V7 Go integrates with modern cloud APIs and offers custom legacy system integrations built by solution engineers as part of its white-glove service, plus connections to 8,000+ apps via Zapier. V7 Go combines integration capabilities with visual source verification and agentic process design, while Hyperscience focuses on document processing within broader enterprise automation ecosystems.
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