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Hebbia vs V7 Go

A side-by-side comparison of Hebbia and V7 Go, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Hebbia

Finance

Enterprise AI that analyzes vast document sets for finance and law.

View Hebbia

V7 Go

Data Ops

Agentic AI that automates document-heavy knowledge work and data extraction.

View V7 Go

At a glance

Feature comparison of Hebbia and V7 Go
AttributeHebbiaV7 Go
Category (differs)FinanceData Ops
PricingPAIDPAID
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)WebWeb, API
Model supportMulti-modelMulti-model
Vendor (differs)HebbiaV7 Labs

The honest brief

Hebbia

Matrix answers each query as a traceable spreadsheet grid via an agent swarm over millions of docs, not one RAG pass.

  • Spreadsheet-grid answers across docs
  • Citation-first, source traceability
  • Handles millions of documents
  • SOC 2 / ISO 27001, no data training
  • No public pricing, sales-only
  • Heavy enterprise onboarding
  • Overbuilt for small teams
  • Answers a fixed doc set, takes no actions

V7 Go

Grounds every extracted field in a clickable citation back to the source doc, so each AI answer is auditable — built for regulated finance/legal review.

  • Source-traceable extractions
  • Chains GPT/Claude/Gemini per step
  • Built for DDQs, memos, terms
  • Targets finance/legal/insurance
  • Paid-only, enterprise pricing
  • Cloud-only, no self-host
  • Setup effort for custom workflows
  • Overkill for simple extraction