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Transparent Pricing Structure

PrivAI’s pricing is designed to be transparent and directly tied to the value delivered. Unlike subscription models with hidden costs, our structure clearly separates development investment, ongoing maintenance, and actual usage costs. The final price depends entirely on your customized services and scale requirements.

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Pricing Components

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Development Cost (One-time Investment)

The initial development fee covers the complete setup and customization of your AI solution:
  • Base Implementation: Core AI infrastructure deployment and security setup
  • Feature Customization: Tailoring specific features to your business processes and data types
  • Integration Complexity: API connections, SSO, and enterprise system integrations
  • Data Volume: Indexing and optimization for your document and knowledge base size
  • Security Requirements: Additional compliance features, BYOK implementation, or custom encryption

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Maintenance (Annual)

Annual maintenance ensures your AI solution remains current, secure, and optimized:
  • Model Updates: Access to latest AI model improvements and fine-tuning refreshes
  • Security Enhancements: Ongoing security patches, compliance updates, and threat monitoring
  • Technical Support: Priority support, performance monitoring, and issue resolution
  • Infrastructure Updates: Cloud infrastructure optimizations and scaling improvements

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Usage Costs (Variable)

Pay only for what you actually use, billed directly by Google Cloud Platform:
  • AI Inference: Costs based on actual queries, document processing, and AI generations
  • Storage: Document storage and vector database usage
  • Data Transfer: Network costs for data movement and API calls

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Plan Comparison

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Cost Optimization Strategies

Quantization Benefits

Model optimization techniques can reduce inference costs by up to 40% through INT8/4-bit quantization.

Spot Instances

Use Google Cloud Spot VMs for non-critical workloads, reducing costs by up to 60%.

Commitment Discounts

Long-term commitments (1-3 years) provide 20-40% discounts on GPU usage.

Batch Processing

Optimize for batch processing with vLLM to maximize GPU utilization and minimize costs.

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ROI Considerations

  • Teams save 1-3 hours daily through AI assistance
  • Faster document retrieval and analysis
  • Automated report generation and insights
  • Transparent pricing with no hidden fees
  • Pay-as-you-use model scales with your needs
  • Enterprise discounts for high-volume usage
  • Full data sovereignty and audit capabilities
  • GDPR/HDS compliance without compromise
  • Reduced risk of data breaches vs public AI services

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Getting Started

1

Initial Consultation

Discuss your requirements and use cases to understand customization needs.
2

Requirements Analysis

Detailed assessment of data, integrations, and compliance requirements.
3

Custom Proposal

Receive a tailored pricing proposal based on your specific needs.
4

POC with GCP Credit

Test the solution with $300 GCP credit for risk-free evaluation.
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Get a personalized pricing proposal
Every enterprise is unique. Contact us to discuss your specific requirements and receive a transparent, customized pricing proposal that delivers maximum value for your investment.