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Version: 2.0

Private deployment use cases

Who deploys Vectara privately and why.

Primary industries​

Financial services​

Banks and hedge funds with data that can't leave their walls.

Why they need it:

  • Trading algorithms stay secret
  • Customer data bound by SOX/PCI regulations
  • Real-time fraud detection can't have API latency

What they build:

  • Research assistants that read every SEC filing instantly
  • Compliance bots that know every reg change
  • Customer service that actually knows your products

Healthcare and life sciences​

Hospitals and pharma companies where PHI leaks end careers.

Why they need it:

  • Patient data never leaves the hospital network
  • Clinical trials data worth billions stays internal
  • HIPAA fines start at $50k per violation

What they build:

  • Diagnosis assistants trained on internal case history
  • Research tools that search every published paper plus proprietary data
  • Clinical trial matching that respects patient privacy

Government and defense​

Agencies where "classified" means something.

Why they need it:

  • Air-gapped networks (no internet, period)
  • SIPR/NIPR separation is non-negotiable
  • FedRAMP/IL5 requirements

What they build:

  • Intel analysis across petabytes of reports
  • Policy search that understands context and clearance levels
  • Brief generators that cite sources properly

Regulated industries​

Organizations operating under strict data residency and compliance frameworks.

Key Benefits:

  • GDPR compliance for EU operations
  • Data localization for various jurisdictions
  • Industry-specific compliance support
  • Audit trail and data governance

Common Use Cases:

  • Legal document analysis and eDiscovery
  • Regulatory compliance monitoring
  • Internal audit and risk management
  • Cross-border data handling

Common use cases​

Enterprise knowledge management​

Large organizations with vast internal knowledge bases and documentation.

Challenges Addressed:

  • Information silos across departments
  • Difficulty finding relevant internal documents
  • Inconsistent knowledge sharing
  • Employee onboarding and training

Vectara Solutions:

  • Semantic search across all company documentation
  • AI-powered Q&A systems for employee self-service
  • Automated knowledge extraction from documents
  • Personalized content recommendations

Customer support and service​

Organizations providing complex products or services requiring detailed support.

Challenges Addressed:

  • High volume of repetitive customer inquiries
  • Need for accurate, consistent responses
  • Scaling support without proportional cost increases
  • Maintaining service quality across channels

Vectara Solutions:

  • AI-powered customer service chatbots
  • Agent assistance with real-time answer suggestions
  • Automated ticket routing and categorization
  • Knowledge base optimization and gap analysis

Research and analysis​

Organizations conducting extensive research across large document collections.

Challenges Addressed:

  • Time-intensive manual research processes
  • Difficulty synthesizing insights from multiple sources
  • Keeping up with rapidly growing information volumes
  • Ensuring research completeness and accuracy

Vectara Solutions:

  • Automated research assistance and document analysis
  • Multi-source insight synthesis and summarization
  • Real-time monitoring of new relevant content
  • Citation-backed research reports

Content management and publishing​

Organizations with large content libraries requiring intelligent organization and retrieval.

Challenges Addressed:

  • Difficulty organizing and categorizing large content volumes
  • Content discoverability and reuse challenges
  • Maintaining content accuracy and relevance
  • Personalizing content delivery

Vectara Solutions:

  • Intelligent content tagging and categorization
  • Semantic content search and discovery
  • Automated content recommendations
  • Dynamic content personalization

Deployment scenarios​

Air-gapped environments​

Organizations operating in completely isolated networks:

  • Defense contractors with classified systems
  • Critical infrastructure operators
  • High-security research facilities
  • Government agencies with sensitive operations

Hybrid cloud strategies​

Organizations with mixed cloud and on premises infrastructure:

  • Large enterprises with existing data center investments
  • Companies with regulatory requirements for certain data types
  • Organizations transitioning between deployment models
  • Multi-national companies with regional data requirements

High-performance computing​

Organizations requiring maximum performance and control:

  • Financial trading firms needing ultra-low latency
  • Research institutions with intensive computational workloads
  • Manufacturing companies with real-time quality control
  • Healthcare organizations with time-sensitive diagnostics