For enterprises and system integrators.Design Partners
Your AI Factory.On your hardware
A layered AI operating system for production workloads: Token Factory, Agent SDK, audit log, sensitivity-aware retrieval, and managed AI services, deployed on your hardware.
For GPUs (bare metal or VM) and managed AI services.
Through tenancy and burst tiers that reduce stranded capacity.
Higher-margin managed AI services supplement GPUaaS revenue.
OpenAI-compatible API, Agent SDK, audit log, sensitivity-aware retrieval. Customers feel one platform.
Two deployment scenarios
Scenario A: Customer has GPU infrastructure running
- Deploy the AI Services layer on top
- Fastest path
- Weeks, not months
Scenario B: Customer starting from bare metal
- Set up Cloud Foundation first
- Then the AI Services layer on top
- Professional services included
Who it's for
Enterprises
Deploy secure, governed private and hybrid AI clouds on any hardware: in your VPC, on-prem, or air-gapped.
System Integrators
Create and deliver repeatable, white-labeled AI infrastructure platforms for your customers. Partner economics on request.
Platform stack
Scroll the stack top to bottom: what each layer carries.
What your customers build and ship on.
The managed runtime beneath the products.
The control plane and compute pool underneath.
Top layers deploy on your hardware
Products
What your customers build and ship on.
- Token Factory: OpenAI-compatible inference
- Agent SDK + MCP
- Managed AI services
- Blueprint-based templates
AI Services layer
The managed runtime beneath the products.
- Managed AI services (inference, fine-tuning, training, RAG)
- Token and usage-based monetization
- Blueprint-based templates
- Governance, reliability, observability
- HPC workloads via SLURM on Kubernetes
Cloud Foundation
The control plane and compute pool underneath.
- Intent-driven control plane
- GPUaaS and VM infrastructure
- Mixed GPU fleets (NVIDIA, AMD, etc.)
- Unified cloud pool with burst-to-cloud
- S3-compatible object or local storage
Compute tier is the customer's. AI Factory is the top 3 platform tiers (Blueprints, Agent SDK + MCP, Managed AI services) deployed on customer hardware.
AI platform services for end-users
A full portfolio of revenue-generating AI services your customers can consume immediately.
Serving & routing
Dedicated, serverless, and batch inference behind one OpenAI-compatible key, with multi-model routing.
Data & sensitivity-aware retrieval
Clearance-aware retrieval that loads the right context at the right time, on your governed data.
Fine-tuning & training
Managed checkpoints for fine-tuning and post-training, deployed back to the same endpoints.
Observability & audit
Jupyter, Grafana, and TensorBoard dashboards, plus a compliance-grade, append-only audit log.
Security & governance
Multi-tenancy, RBAC, SSO/IAM, model governance, and GDPR-compliant data control.
Console & APIs
A white-label portal with metering and billing hooks, plus APIs and SDKs for agentic AI.
Why AI Factory
Intuitive Platform
Role-based logins across natural language, Web UI, CLI, API, and SDK. Blueprints ship prebuilt templates to production faster.
Infrastructure Freedom
Pool mixed GPU fleets (NVIDIA, AMD, and more) as one resource, priced per GPU-hour, with no lock-in. Reusable IaC packages reproduce deployments and free up DevOps.
Scalable Implementation
Scale out over InfiniBand or RoCE-v2, scale up over NVLink. S3-compatible storage, multi-region pools, and burst-to-cloud for extra capacity.
Build your AI infrastructure practice on FlexAI
White-label AI Factory: partner economics, a channel agreement, co-marketing, technical enablement, and customer-success support through your first deployments.
FlexAI is a vertical NeoCloud: AI-native managed infrastructure, deployed in your VPC, on-prem, or air-gapped.
Talk to us
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