Your Data. Your Models. Your Control.
AgenixHub provides orchestrated AI systems deployed within your cloud, VPC, on-premises, or hybrid environments. Maintain complete data and model ownership while leveraging cutting-edge AI capabilities. Our platform supports SOC2, HIPAA, and GDPR compliance with 14-day average deployment time.
Choose from four flexible deployment architectures: Cloud-native deployments in AWS, Azure, or GCP with dedicated tenancy; Virtual Private Cloud (VPC) installations with network isolation; On-premises deployments in your own data centers; or Hybrid architectures combining internal and external resources for optimal performance and compliance.
Three pillars of enterprise AI infrastructure that actually works
Your infrastructure. Your data. Zero external dependencies.
Deploy AI models within your own infrastructure boundaries where all data processing, model training, and inference operations remain under your direct organizational control. No data leaves your environment.
| Deployment Time | 14 days average |
| Data Residency | 100% on-premise |
| External Dependencies | Zero |
| Compliance | SOC 2, HIPAA, GDPR, ISO 27001 |
Cloud, VPC, On-Prem, Air-Gapped. Your choice.
Flexible deployment architecture supporting cloud-native, VPC-isolated, on-premises, and air-gapped installations. Choose the deployment model that matches your security, compliance, and operational requirements.
| Deployment Options | 4 (Cloud, VPC, On-Prem, Hybrid) |
| Cloud Providers | AWS, Azure, GCP |
| Minimum Hardware | 4 CPU, 16GB RAM, 100GB SSD |
| Recommended Hardware | 16 CPU, 64GB RAM, 1TB NVMe, GPU optional |
Tailored AI systems built for your reality.
Custom AI solutions engineered for your specific use cases, industry requirements, and compliance frameworks. 6-12 week implementation vs 6-18 months for traditional enterprise AI vendors.
| Implementation Time | 6-12 weeks |
| Supported Models | 50+ (Llama, Mistral, Falcon, GPT, Claude) |
| Custom Training | Included |
| Support SLA | 24/7 with 4-hour response time |
Four flexible deployment architectures. Choose what fits your security and compliance needs.
| Deployment Type | Time | Cost | Requirements | Compliance |
|---|---|---|---|---|
| Cloud | 7-10 days | $150K-$300K/year | Cloud account with admin access | SOC 2, ISO 27001, GDPR |
| VPC | 10-14 days | $200K-$400K/year | VPC with private subnets | SOC 2, HIPAA, GDPR, PCI DSS |
| On-Premise | 14-21 days | $250K-$500K/year | 16 CPU, 64GB RAM, 1TB NVMe, GPU optional | All standards, Air-gapped capable |
| Hybrid | 14-28 days | $300K-$600K/year | Cloud + on-premise infrastructure | Flexible based on data location |
Everything you need to deploy AI at scale
From Llama 3 to GPT-4, deploy any model in your infrastructure
Average time from contract to production
Compared to IBM Watson and Microsoft Azure AI
Enterprise-grade security architecture
Healthcare-ready deployments
Complete network isolation
