Everything You Need for Production AI
Industrial-grade capabilities that transform fragmented AI components into cohesive, enterprise-ready applications.
Agent State Machine
Finite-state automata for agent lifecycles — idle, thinking, acting, waiting, error. Deterministic transitions with full state persistence and replay for debugging.
Long/Short-Term Memory Bus
Hot context windows for active sessions, warm vector stores for semantic recall, and cold archival for compliance. Cross-agent memory sharing with access control.
Heterogeneous LLM Layer
Route requests by model capability, cost, latency, or custom policies. Automatic provider failover, rate limit handling, and token budget enforcement.
One-Click Deployment
Container-native CI/CD pipelines optimized for AI workloads. Blue-green deployments, canary releases, and automatic rollback on quality degradation.
High-Concurrency Orchestration
Event-driven agent coordination supporting thousands of parallel agent instances. DAG and fan-out/fan-in patterns with sub-50ms scheduling overhead.
Enterprise Security
SOC 2 ready infrastructure with RBAC, API key management, audit logging, data encryption at rest and in transit, and VPC deployment options.
Tool & Plugin System
Extensible tool registry with sandboxed execution. Connect APIs, databases, file systems, and custom functions with typed schemas and validation.
Full-Chain Observability
OpenTelemetry-compatible tracing from user request to model inference. Cost dashboards, latency percentiles, and agent decision explainability.
Why Teams Choose STACKOXA
| Capability | STACKOXA | DIY Stack | Generic Cloud |
|---|---|---|---|
| Agent State Management | ✓ Built-in | Manual | ✗ |
| Multi-Agent Orchestration | ✓ Native | Custom | Limited |
| Memory Bus | ✓ Unified | Fragmented | ✗ |
| AI-Optimized DevOps | ✓ One-click | Weeks | Generic |
| Time to Production | Days | Months | Months |
See Features in Action
Explore our documentation or talk to our team about your use case.