Zylon pricing guide details
Pricing Overview
Zylon uses custom enterprise pricing tailored to each organization's team size, deployment requirements, and selected AI modules. The platform emphasizes unlimited, fixed-cost pricing with no per-token charges, a significant differentiator from cloud AI providers that bill by usage. Zylon deploys entirely on-premise or in private cloud environments, meaning the infrastructure runs within your own data center. This eliminates ongoing cloud compute fees to external providers but introduces hardware provisioning costs. Organizations in regulated industries such as financial services, healthcare, government, and defense benefit from Zylon's compliance-first architecture supporting SOC 2, HIPAA, GDPR, ISO 27001, and EU AI Act requirements. All pricing requires direct engagement with the Zylon sales team to receive a custom quote.
Plan Comparison
Zylon does not publish tiered pricing plans. Instead, the platform offers a unified product with deployment and support options tailored through the quoting process. The core platform includes three integrated components that all customers receive.
| Component | What It Includes | Deployment Options |
|---|---|---|
| Zylon AI Core | Local LLMs, vector databases, GPU orchestration | Private cloud, on-prem, air-gapped |
| Zylon Workspace | AI assistant, document creation, knowledge base, data integrations | Included with Core |
| Zylon API Gateway | OpenAI-compatible endpoints, authentication, logging, rate limiting | Included with Core |
| n8n Integration | Multi-step AI agents and automation workflows | One-click deployment included |
| Compliance | SOC 2, HIPAA, GDPR, ISO 27001, EU AI Act | Built into architecture |
| Support | Custom SLA | Included in enterprise contract |
The fixed-cost model means organizations pay a predictable amount regardless of how many tokens they process or queries they run. This contrasts sharply with cloud AI services that bill per API call. Zylon's single-command deployment gets organizations production-ready in under one week, compared to the 12-18 months typical for in-house AI platform builds. Every deployment includes full audit and governance capabilities, data residency guarantees, and the ability to use any model rather than being locked into a single vendor.
Hidden Costs and Considerations
On-premise deployment requires GPU-capable server hardware, which represents a significant upfront capital expenditure. Organizations need internal IT staff to manage the physical infrastructure, even though Zylon handles software updates. Network configuration for air-gapped environments adds complexity. Training teams on the Workspace and API Gateway requires onboarding time. While Zylon's fixed pricing eliminates per-token surprises, the custom quote process means exact costs are not publicly comparable. Budget for data migration from existing systems and integration engineering with tools like SharePoint, Confluence, or Salesforce.
How Zylon Pricing Compares
Zylon occupies a unique position as a fully on-premise, fixed-cost AI platform. Most competitors operate as cloud services with variable pricing, making direct comparison nuanced but instructive.
| Tool | Pricing Model | Starting Price | Deployment | Per-Token Costs |
|---|---|---|---|---|
| Zylon | Enterprise (custom) | Custom quote | On-premise / air-gapped | None (fixed cost) |
| Fusedash | Usage-Based | $0 (free tier) | Cloud | Yes ($5-$25 token packs) |
| HypeScribe | Paid | $6.99/mo | Cloud | N/A |
| Anthropic | Freemium | $0 (free tier) | Cloud | Yes (API usage) |
Zylon is the only platform in this comparison offering on-premise, air-gapped deployment with zero per-token fees. Fusedash operates on a usage-based model starting free but charging $5-$25 for token packs. HypeScribe offers fixed monthly pricing starting at $6.99/mo but focuses on transcription rather than general AI workloads. Anthropic provides a free tier and Pro at $20/month with Team at $25/user/month, but all processing happens on external cloud servers. For organizations where data sovereignty and regulatory compliance are non-negotiable, Zylon is the only option that keeps all AI processing entirely within your infrastructure at a predictable fixed cost.