Deploy AI solutions at scale with complete data sovereignty. Built for mission-critical workloads, data lakes, and complex enterprise policies. Multi-tenant architecture. Your infrastructure. Complete control.
From startup pilots to enterprise data lakes—deploy with the infrastructure that matches your workload
Get started quickly with minimal infrastructure
Scale to departmental workloads
Production-ready for enterprise workloads
Custom infrastructure for mission-critical workloads
Need help choosing the right tier?
Note: Infrastructure requirements vary based on your specific use case, data volume, and performance needs. Enterprise and Enterprise Plus tiers support data lakes, real-time processing, and complex AI workflows. Schedule an architecture review to determine the optimal configuration for your workload.
See how leading organizations deploy AgenixChat for mission-critical workloads with detailed infrastructure specs and measurable results
Deployed AgenixChat with custom AI workflows for transaction analysis, risk scoring, and automated fraud detection. Integrated with existing data lakes and compliance systems for comprehensive monitoring.
Want to discuss your specific use case and infrastructure requirements?
Schedule Architecture ReviewProduction-grade architecture designed for mission-critical enterprise workloads
Connect AgenixChat to your existing enterprise systems and data infrastructure
Connect to enterprise data platforms for real-time and batch processing
Enterprise SSO and identity provider integration
Export metrics and logs to your monitoring stack
Automate deployments with your existing DevOps tools
Our professional services team can build custom integrations for your specific enterprise systems, legacy applications, or proprietary data sources. We support REST APIs, GraphQL, webhooks, and custom protocols.
Discuss Custom Integration →Dedicated support and expert services to ensure your success
Schedule an architecture review with our team to discuss your specific requirements, infrastructure needs, and deployment timeline.
