context
[SEE IT ON YOUR DATA]

Context vs Hebbia

Hebbia delivers powerful AI-driven document analysis for financial services, but enterprises need knowledge that spans every tool and department. Context builds a knowledge graph across your entire stack with on-premise deployment and broad integration coverage.

CAPABILITY
CONTEXT
HEBBIA
Scope
All enterprise tools & data sources
Document-focused (PDFs, filings, reports)
Deployment
On-premise, VPC, air-gapped
Cloud-based
Knowledge Graph
✓ Cross-tool entity extraction & graph
✗ Document analysis, no knowledge graph
Data Sources
Slack, Jira, Confluence, GitHub, Drive, etc.
Primarily documents and filings
Industries
Cross-industry (defense, healthcare, energy, etc.)
Primarily financial services
Pricing Model
Flat infrastructure cost
Enterprise pricing (not public)
Air-Gapped Support
✓ Fully air-gapped deployments
✗ Cloud connectivity required
Analysis Approach
Knowledge graph + semantic search + citations
Matrix structured analysis of documents

Comparison based on publicly available information as of 2026.

Why teams choose Context over
Hebbia

Search Your Entire Enterprise, Not Just Documents

Hebbia focuses on analyzing documents — PDFs, SEC filings, and reports. Context searches across all your enterprise tools: Slack conversations, Jira tickets, Confluence pages, GitHub repositories, and more. Knowledge lives everywhere, not just in documents.

Cross-Industry Knowledge Graph

While Hebbia is optimized for financial services workflows, Context serves any industry — defense, healthcare, energy, manufacturing, and more. The knowledge graph automatically maps relationships between people, projects, and concepts regardless of domain.

On-Premise & Air-Gapped Deployment

Context runs on your infrastructure — on-premise, VPC, or fully air-gapped. For organizations in defense, government, or critical infrastructure, this is not optional. Hebbia operates in the cloud.

Broad Integration Coverage

Context connects to the tools your team actually uses every day — Slack, Jira, Confluence, GitHub, Google Drive, and more. Hebbia is designed for document ingestion, not cross-tool enterprise search.

Hebbia vs Context compliance

SOC 2 Type IISOC 2 Type IIGDPRGDPRHIPAAHIPAAISO 27001ISO 27001

Context deploys where Hebbia cannot

DEPLOYMENT ARCHITECTURE

YOUR INFRASTRUCTUREOn-PremiseK3s / K8s / Bare MetalAPI ServerKnowledge GraphLLM (Ollama)PostgreSQLYour VPCAWS / Azure / GCPEKS ClusterKnowledge GraphKubeAI (GPU)S3 / BlobKARPENTER: GPU SCALE-TO-ZEROAir-GappedNo Internet RequiredAPI ServerKnowledge GraphOllama / MLXLocal StorageYOUR DATA NEVER LEAVES YOUR INFRASTRUCTURE

Where Hebbia
fits well

01

Deep PDF and SEC filing analysis with structured extraction — purpose-built for financial document workflows

02

Matrix product delivers structured, tabular analysis output that finance teams can immediately use for due diligence

03

Strong finance-specific workflows including deal sourcing, compliance review, and earnings analysis

Why teams move from
Hebbia to Context

01

Organizations need knowledge search across all tools and departments, not just document analysis for the finance team

02

Teams outside financial services need enterprise AI search that works for their industry and workflows

03

Regulated industries require on-premise or air-gapped deployment that Hebbia does not offer

04

Leadership wants a knowledge graph that connects people, projects, and concepts — not just document extraction

Search beyond documents — across your entire enterprise

Book a 30-minute call to see Context in action and discuss how it fits your infrastructure and security requirements.

BOOK A DEMO