AI Factory Enterprise-Grade Private AI Platform, Managed by ITTStar

AI Factory is a fully managed, private AI platform that ITTStar deploys and operates inside your own AWS account — so your data, your models, and your usage never leave your control. Built for enterprises hitting the limits of public AI tools — unpredictable per-query costs, data privacy exposure, no customization, and zero governance — AI Factory replaces pay-per-use API sprawl with a predictable, pre engineered platform that goes live in as little as 4 weeks.

The platform is delivered as six integrated, pre-built modules, fully managed by ITTStar on AWS: an LLM inference engine (vLLM + NVIDIA Triton on Amazon EKS GPU nodes) running Llama 3, Mistral, Falcon, or your own fine-tuned models; a RAG knowledge layer (Amazon OpenSearch, S3, and an embedding service) that grounds every answer in your internal documents and terminology; a smart prompt cache (Amazon ElastiCache/Redis) targeting a 40%+ cache-hit rate, where every cache hit is zero GPU compute and zero marginal cost; a 5-layer security and compliance stack (AWS WAF, KMS, GuardDuty, Falco,IRSA) built for SOC 2, HIP AA, GDPR, and EU AI Act readiness; a full AI observability suite (CloudWatch, Prometheus, Grafana, X-Ray) giving leadership a live view of GPU utilization, tokens/second, cache-hit rate, and cost per team; and a platform engineering layer (Karpenter, ArgoCD, HP A) that auto-scales GPU nodes in 90 seconds, scales to zero overnight, and ships with zero-downtime GitOps deployments.

Every component is a managed AWS service — no VMs to patch, no OS to manage — spanning Route 53, CloudFront, and AWS WAF at the edge; Amazon EKS with GPU node groups and Karpenter for compute; OpenSearch, S3, DynamoDB, and ElastiCache for data and knowledge; and KMS, Secrets Manager, GuardDuty, and CloudWatch for security and operations.

ITTStar brings 12+ years of AWS delivery, 76+ cloud transformations, and a 24/7 global delivery team across the US, UK, UAE, Mexico, and India to every engagement, with three engagement tiers — from a 3–4 week pilot to a fully managed, multi-tenant Enterprise+ deployment — so organizations in financial services, healthcare, retail, and other regulated industries can move from decision to a working private AI platform with out a multi-month build.