AnalysAI uses a flexible pricing model based on your usage and deployment preferences. Our Starter plan is free up to 1M tokens per month. The Professional plan at $499/month includes unlimited tokens, advanced features, and priority support. Enterprise customers receive custom pricing based on volume, deployment requirements, and SLA needs. All plans include core features like model routing, cost tracking, and security controls.

AnalysAI is cloud-agnostic and supports deployment on all major cloud platforms:

• AWS: Deploy via ECS, EKS, or EC2 instances with native CloudWatch integration
• Google Cloud: Full GKE support with Cloud Monitoring and BigQuery integration
• Azure: AKS deployment with Azure Monitor and Log Analytics integration
• DigitalOcean, Oracle Cloud, and others: Kubernetes support across all major providers

Our managed cloud hosting is included in all plans at no additional cost. For self-hosted deployments, we provide Docker images and Helm charts.

For self-hosted Kubernetes deployments, AnalysAI pricing is based on your subscription tier, not your infrastructure costs. You only pay for the AnalysAI license:

• Professional Plan ($499/month): Deploy on any Kubernetes cluster with up to 10 nodes
• Enterprise Plan (Custom): Unlimited nodes, multi-cluster support, and dedicated support

Your infrastructure costs (compute, storage, networking) are billed separately by your cloud provider. Typical Kubernetes costs:

We provide Helm charts, deployment guides, and infrastructure-as-code templates to minimize setup costs. Most customers run AnalysAI on 2-4 nodes with auto-scaling enabled.

Our Enterprise plan offers flexible deployment models tailored to your security and compliance requirements:

All Enterprise deployments include dedicated customer success manager, 24/7 support, custom SLAs, and white-glove onboarding.

The total cost of ownership varies significantly between deployment models:

Most enterprises choose managed cloud for faster ROI and lower TCO. Self-hosted options are ideal for regulated industries requiring data sovereignty or air-gapped environments.

AnalysAI requires a Kubernetes cluster with the following specifications:

We provide Helm charts compatible with all major managed Kubernetes services (EKS, GKE, AKS, DOKS, OKE) and support for on-premise distributions like OpenShift, Rancher, and vanilla Kubernetes.

Yes, AnalysAI offers complete data residency control:

• Multi-region cloud hosting: Choose from 15+ regions across North America, Europe, Asia-Pacific, and Latin America
• Private VPC deployment: Deploy in your own cloud account with full control over data location and network boundaries
• On-premise option: Keep all data within your data center for complete sovereignty
• No data export: Your prompts and responses never leave your chosen region unless explicitly configured

All deployment models support GDPR, CCPA, and industry-specific compliance requirements (HIPAA, PCI-DSS, FedRAMP).

AnalysAI pricing scales based on your plan tier, not token usage (except Starter plan):

• FREE
  Starter: Up to 1M tokens/month, then $0.000015 per token or upgrade to Professional
• $499
  Professional: Unlimited tokens, unlimited requests, flat monthly rate
• CUSTOM
  Enterprise: Volume discounts for 100M+ tokens/month, custom pricing based on SLAs and deployment complexity

Professional and Enterprise plans include unlimited tokens, so your costs remain predictable even as usage grows. This protects you from surprise bills during traffic spikes.

Support levels vary by plan:

Yes! We offer multiple ways to evaluate AnalysAI on Kubernetes:

Migration from existing gateways or LLM management tools is included. We provide runbooks, scripts, and hands-on assistance to minimize downtime.

No hidden fees. Our pricing is transparent and all-inclusive:

For self-hosted deployments, you're responsible for your own infrastructure costs (compute, storage, bandwidth). We provide cost estimation tools to help you budget accurately.