Full-Stack AI Agent Platform
Full Governance. Maximum Capability. Any Deployment.
Purpose-built for the enterprise AI stack. We deliver optimized compute, native governance, and full-lifecycle agent orchestration—maintaining absolute consistency across cloud, hybrid, and air-gapped environments.
Consistent architecture, in any deployment.
From infrastructure to orchestration to agents, Thaki delivers the exact same stack — no matter where you deploy.
Velox|Bare Metal GPU Cloud
Raw performance. No hypervisor. No compromises.
Access dedicated GPU and NPU servers, provisioned at cloud speed. We've eliminated hypervisor overhead and noisy neighbors so you can harness the total throughput of physical bare-metal hardware on demand via console or API. This is the definitive choice for workloads where performance consistency is non-negotiable.
Telox|AI-Native GPU Cloud
The full AI stack, built on bare metal.
We seamlessly combine Velox's bare-metal GPU infrastructure with Aegis, Metis, and Signum to deliver a unified, managed cloud stack. GPU provisioning, model training, inference serving, and robust governance—all integrated, all managed. Ideal for teams that demand both the compute and the platform instantly, without the friction of assembling them separately.
Aegis|Private Cloud Platform
Your cloud, inside your perimeter.
The infrastructure foundation the entire stack runs on — compute, storage, and networking unified under a single private cloud layer. VM management, auto-scaling, and bare-metal access give teams the full performance of dedicated hardware with the operational simplicity of a managed cloud environment.
Capsis|Container Platform
Enterprise Kubernetes, without the headache.
Enterprise Kubernetes, without the enterprise Kubernetes headache. Multi-cluster orchestration, container registry, and network policy management — purpose-built to run Metis, Maxis, and Paxis workloads with the isolation and resource governance large-scale AI operations demand.
Metis|AI Training and Inference Platform
Your GPU investment, fully utilized.
A Kubernetes-native AI operations platform that manages distributed GPU/xPU resources, automates training and fine-tuning pipelines, and runs serverless inference — all within your infrastructure. GPU utilization above 75%. The entire AI lifecycle on one platform.
Maxis|AI Training Platform
Train and fine-tune, at enterprise scale.
End-to-end training and fine-tuning infrastructure, purpose-built for enterprise AI teams. Manage training runs, distributed workloads, and fine-tuning pipelines from a single interface — with built-in experiment tracking, version control, and resource allocation across GPU and NPU clusters.
Paxis|Enterprise Agent Platform
Autonomous agents that never leave your walls.
Build and orchestrate multi-agent workflows that connect directly to your internal data, systems, and tools — with no external API dependencies required. Native RAG engine, MCP Tool Hub for enterprise system integration, and full AgentOps audit trails built in. Token costs reduced by up to 75% versus external API-based agent approaches.
Signum|Unified Control Plane
One control plane across every layer.
Unified Control Plane — spans every layer. IAM & access control, centralized logging, audit trail, alerts & anomaly detection, and multi-channel notification, unified across Aegis, Metis, and Paxis. Deploying a cloud and controlling one are different things. Signum is what makes the difference.
Find the right fit for your enterprise.
Two paths, one powerful platform. Compare the deliverables and select the deployment model engineered for your current business priorities.
Speed, scale, and flexibility — without the infrastructure overhead.
Gain on-demand GPU and NPU capacity powered by the full Thaki agent stack. Thaki operates the infrastructure; your team builds and executes what truly matters.
Why enterprises choose Thaki.
Six things our platform does that most infrastructure or agent vendors don't do together.
Start small, scale to hyperscale
Begin with a single node and expand to hyperscale capacity seamlessly on the same platform—no re-architecture required.
One platform, full stack
Compute, containers, storage, GPU scheduling, model serving, and agents operate cohesively from a unified platform, not as stitched-together point tools.
Security and governance built in
Multi-tenancy, RBAC, and auditing are native to the architecture, ensuring enterprise-grade security and data control come standard.
Run it in plain language
Leverage natural-language operations and an integrated AI assistant to manage complex infrastructure and workloads without deep technical platform expertise.
GPU efficiency that pays for itself
Usage-aware optimizations maximize GPU utilization and minimize idle costs, consistently driving down the TCO of large-scale AI operations.
Agents that work like a team
AI agents collaborate and improve inside a robust trust layer featuring built-in security, strict permissions, and comprehensive audits—empowering you to delegate real work with absolute confidence.
The full stack, measured at every layer.
FP32 compute per node — NVIDIA HGX B200 × 8, zero hypervisor overhead
Velox / TeloxPerformance reclaimed by removing the hypervisor layer
Velox / TeloxAverage TCO break-even vs. hyperscalers
AegisGPU utilization achieved with xPU scheduling optimization
MetisReduction in external token costs when running agents on-prem
PaxisExternal API dependencies when operating fully within your perimeter
Platform-wideBuilt for your enterprise and your needs.
Different industries, different constraints — one platform built to meet each of them on its own terms.
Run regulated AI workloads without compromise
Deploy agents and models air-gapped or hybrid to meet data residency and audit requirements, while scaling into cloud capacity for research, modeling, and peak demand.
Meet agency-grade control and accountability standards
Operate the full platform entirely within government-controlled environments, with the access control and audit trail required for public-sector accountability.
Bring AI to the plant floor and the back office alike
Run inference close to operations on private infrastructure, while training and orchestration scale centrally — one platform across every facility.
Thaki Cloud Full-Stack Architecture
One stack. Designed end to end.
Most enterprise AI environments are assembled from parts — compute from one vendor, infrastructure from another, tools from a third. Every boundary between them is a gap in performance, security, or control. Thaki Cloud's architecture was designed without those gaps: from bare metal GPU compute through private cloud infrastructure, AI operations, and autonomous agents, every layer is built to work with the one above and below it — and governed by a single control plane, Signum Unified Control Plane, across all of them.
Paxis · Enterprise Agent Platform
Build and operate multi-agent workflows on your internal data without external API dependencies.
Metis · AI Training and Inference Platform
Kubernetes-native AI operations platform managing distributed GPU/xPU resources, training pipelines, and serverless inference.
Aegis · Private Cloud Platform
VM, Bare Metal, and Kubernetes unified in a single private cloud platform with predictable costs.
Velox · Bare Metal Cloud
Dedicated physical servers with zero hypervisor overhead.
Telox · AI Native Cloud
Full-stack AI-Native GPU Cloud from infrastructure to AI operations.
Data Center — Private / Dedicated
Private / Hybrid AI cloud infrastructure customizable to customer environments.
Ready to deploy
on your terms?
See Thaki in action. Connect with our team to map out the perfect setup for your infrastructure.
Talk to our team