XePlatform: Managed, Private and Hybrid AI Inside Your AWS Account

AI experiments show promise. Operations determine success. Getting AI models to work is increasingly commoditised. The operational layer around them, security, governance, observability, release management, is not. Most enterprise AI teams are forced to choose between two options that both fail them. Send data to a vendor's infrastructure and move fast, but lose sovereignty, face token costs at production scale, and accept vendor lock-in. Keep data sovereign and build everything yourself, but spend 6 to 18 months, hire platform engineers at $120K to $180K annually, and own every incident at 2am. XePlatform removes that trade-off entirely.

Which one sounds like you? Managed AI You use Bedrock, Vertex, or Azure AI. Model access is solved. But as you add agents and pipelines, production becomes unmanageable. Agents and orchestration remain unmanaged. Autoscaling and observability are immature. API routing and releases lack discipline. Operational debt grows faster than product value. XePlatform operates the full Kubernetes and agent orchestration layer inside your AWS account. Release pipelines and observability around your existing endpoints. Works with Bedrock, Vertex, Azure AI. No provider change needed. Private AI You want to run your own models on GPU without calling any external API. Full sovereignty. No token billing. But infrastructure and LLMOps take major time and expertise. Poor release engineering turns staging drift into recurring incidents. Getting a model running is easy. Keeping it reliable in production is hard. XePlatform operates the full private GPU stack: Kubernetes, LLMOps, security, and observability. Release engineering built in. Staging drift eliminated by architecture. Operated inside your AWS account from day one. Hybrid AI You need both simultaneously. Private AI for proprietary assets. Managed AI for commodity operations. One platform. Inside your AWS account.

What XePlatform operates inside your AWS account XePlatform operates on a strict split-plane model. The control plane manages platform orchestration only. It has no access to your data, secrets, models, or application infrastructure. Everything that matters lives in your execution plane, inside your cloud account, your IAM, billed to your account:

• Private LLM Models
• GPU Nodes
• Agent Orchestration
• Auto-scaling
• Observability
• Automated Backups and Rollbacks
• Release Pipelines
• Security Enforcement
• Audit Trailsm

Unique release engineering Most platforms monitor failures after deployment. XePlatform prevents an entire class of failures by eliminating staging-to-production drift before release. Golden path release engineering ensures every AI workload follows a proven, standardised deployment process from staging to production. 75% lower MTTR.

Built for regulated industries Financial Services. Pharma. Legal. Healthcare. Manufacturing. Industries where data sovereignty is non-negotiable and compliance is mandatory. XePlatform is built with best practices that enable faster and more transparent audits. All logs, traces, audit trails, and execution records are stored inside your own cloud account from day one, accessible to your team without involving XePlatform. Structurally compliant with GDPR, EU AI Act, DORA, NIS2, and MiFID II, by architecture, not by contract.

All compute and storage billed directly to your AWS account. XePlatform's control plane handles orchestration only, no credentials, no IAM role, no network path into your data. Production setup in hours, not months. No DevOps or platform team needed.