Multi-Cloud Open-Model AI Operating System

OpenMind Forge

Build, deploy, and monetize production-grade AI systems using GPT-OSS, DeepSeek, and Llama-3 across AWS, Azure, on-prem, and edge

Deployment
AWS + Azure + On-Prem + Edge
Open Models
GPT-OSS + DeepSeek + Llama-3
Runtime
vLLM + Ollama
Features
Security + Cost Control + APIs

Complete AI Operating System

Everything needed to build, deploy, and monetize production-grade open-source AI systems

Unified Model Runtime Layer

Common inference abstraction supporting vLLM for high-throughput GPU production and Ollama for local/edge/offline execution with hot-swappable models and streaming + batch inference

vLLM production GPUOllama local/edgeHot-swap modelsCPU/GPU fallback

Open Model Support

Run GPT-OSS for transparent reasoning, DeepSeek for code/math/analytics, and Llama-3 for chat/multilingual support - all self-hosted, fine-tunable, and dynamically routable

GPT-OSS reasoningDeepSeek code/mathLlama-3 chatSelf-hosted

Multi-Cloud & Hybrid Deployment

Deploy on AWS EKS with GPU auto-scaling, Azure AKS with Private Link, on-prem/edge with Ollama offline mode, and hybrid burst across clouds during peak load

AWS EKS + GPUsAzure AKS + VNetsOn-prem/edgeHybrid burst mode

Intelligent Model Routing Engine

Automatically select best model and runtime based on task type, latency targets, cost budgets, compliance rules, and tenant tier with dynamic routing per request

Task-based routingLatency/cost awareCompliance rulesTenant tiers

Domain AI Builder

Ingest documents, databases, APIs, and streams with auto-chunking and embedding to create hybrid RAG pipelines using OpenSearch, Qdrant, or Pinecone

Multi-source ingestAuto-chunkingHybrid RAGVector stores

Agent & Workflow Orchestration

Multi-agent systems with role separation, long-running workflows (minutes to days), human-in-the-loop approvals, and event-driven execution via AWS SQS or Azure Service Bus

Multi-agent systemsLong-running flowsHuman approvalsEvent-driven

Fine-Tuning & Optimization Studio

LoRA/QLoRA fine-tuning on AWS SageMaker, Azure ML, or self-managed clusters with synthetic data generation, domain benchmarks, and canary deployments

LoRA/QLoRA tuningSynthetic dataDomain evalCanary rollouts

Security, Governance & Compliance

On-prem and private cloud support, zero-egress inference mode, RBAC with tenant isolation, prompt/response auditing, PII detection/redaction, and compliance-ready logging

Private deploymentZero-egress modeRBAC + auditPII protection

Cost & Performance Control Plane

Token-level cost attribution, GPU utilization dashboards, per-agent and per-tenant budgets, auto-downgrade to cheaper models, and scheduled inference windows

Token cost trackingGPU dashboardsBudget controlsAuto-optimization

Monetization & Distribution Layer

Publish AI systems as APIs, embedded widgets, internal copilots, or vertical SaaS features with usage-based billing, rate limiting, tenant metering, and revenue analytics

API publishingUsage billingRate limitingRevenue analytics

Trusted by Production Teams

From enterprises to startups, teams deploying open-source AI at scale choose OpenMind Forge

Enterprises in Regulated Industries

Own your AI with complete data control and multi-cloud compliance flexibility

  • Deploy GPT-OSS, DeepSeek, and Llama-3 in private VPC/VNet or on-prem
  • Choose AWS, Azure, or on-prem based on SOC 2, HIPAA, GDPR requirements
  • Zero-egress inference mode for air-gapped environments
  • Fine-tune models on proprietary data with complete security
  • Multi-tenant isolation with full audit trails and PII protection
  • Production SLAs with 24/7 enterprise support

AI-First SaaS Startups

Build and scale AI products without cloud lock-in or model dependencies

  • Start local with Ollama, promote to vLLM on AWS/Azure seamlessly
  • Hot-swap between GPT-OSS, DeepSeek, and Llama-3 without code changes
  • Auto-scale GPU infrastructure with cost-aware routing
  • Monetize AI via APIs, copilots, or embedded features
  • Domain AI builder templates for vertical markets
  • Optimize costs with intelligent model selection and token budgets

Platform Engineers

Build unified AI platforms with multi-cloud orchestration and governance

  • Single control plane for AWS EKS, Azure AKS, and on-prem clusters
  • vLLM for production high-throughput, Ollama for dev/testing/edge
  • Centralized cost tracking with chargeback per team or product
  • Unified observability with CloudWatch and Azure Monitor integration
  • Self-service AI builder for domain teams with security guardrails
  • Compliance-ready architecture with enterprise governance