Enterprise Kubernetes, engineered for AI workloads.
Multi-cluster orchestration, governed container operations, and AI-optimized scheduling — built to run Paxis agents, Metis inference services, and Maxis training pipelines without the overhead of managing Kubernetes yourself.
Built so every AI platform runs on one shared container foundation.
Kubernetes is the de facto runtime for enterprise AI workloads. Capsis delivers that runtime as a product, so Paxis agents, Metis inference services, and Maxis training pipelines run on one shared foundation instead of each building its own. Capsis is the container platform purpose-engineered to run Paxis agents, Metis inference services, and Maxis training pipelines — with multi-cluster orchestration, granular network policy, and AI-aware resource governance ready from day one. It is the foundation your entire AI stack depends on. Engineered for AI workloads. Deployed wherever you operate.
Paxis, Metis, and Maxis all run on Capsis as their container foundation
Manage every cluster across every environment from a single interface
Custom Kubernetes builds to maintain separately
Run Capsis inside the environments your enterprise controls.
The same container platform — identical orchestration, governance, and isolation — across your own data center and fully air-gapped environments.
On-Prem Private Cloud
Run Capsis entirely within your own data center, including fully air-gapped environments. Container workloads operate under your network policies and security controls, completely contained within your perimeter.
Governed container operations, built for AI scale.
Multi-Cluster Orchestration
Manage every cluster from one place
Operate multiple Kubernetes clusters across environments and geographies from a single control surface. Workloads route to the right cluster based on resource availability, topology, and policy — automatically.
Helm / Add-on Management
Governed component lifecycle
Deploy, configure, and update platform components and AI workload dependencies via Helm — with governed add-on lifecycle management ensuring every cluster stays consistent and auditable across its full update cycle.
Network Policy
Granular traffic control for AI environments
Define and enforce network policies across clusters — controlling ingress, egress, and east-west traffic between Paxis agent environments, Metis inference services, and Maxis training workloads. Isolation by design, not by exception.
Workload Isolation
Resource governance across platforms
Namespace isolation, resource quotas, and tenant-aware scheduling ensure Paxis, Metis, and Maxis workloads coexist without resource contention or cross-workload interference.
GPU + NPU Topology-Aware Scheduling
Right workload, right hardware
Container scheduling that understands GPU and NPU topology — ensuring training jobs, inference services, and agent runtimes land on appropriate hardware without manual affinity configuration.
How Capsis fits into the stack.
Capsis is the container runtime foundation that Paxis, Metis, and Maxis all execute within.
Capsis
The container platform purpose-built to run the Thaki AI stack — multi-cluster orchestration, network policy, and AI-aware scheduling, governed from a single control surface.
Built for enterprises that run AI workloads at scale.
Isolated container environments for regulated AI services
Enforce strict network isolation and resource separation between regulatory AI workloads, inference services, and internal model deployments — with audit trails covering every container operation.
Air-gapped Kubernetes for government-controlled AI infrastructure
Deploy and operate Kubernetes clusters entirely within government-controlled environments, with complete network isolation from public infrastructure.
Container orchestration from the edge to the center
Manage Kubernetes clusters spanning factory-floor inference nodes and central training infrastructure — with consistent governance, network policy, and workload scheduling across every site.
One container platform, standardized across every AI workload
Replace fragmented, team-specific Kubernetes deployments with a single governed container platform that runs Paxis, Metis, and Maxis consistently across every business unit and environment.