Operational AI Platform for Managed AI Endpoints
The Operational AI Platform
Around Your Managed Endpoints.
Your provider gives you model access. XePlatform operates the production platform around those calls: agent orchestration, observability, release engineering, and governance, deployed inside your cloud account, operated by us.
Sovereign by architecture, not by contract.
Works alongside your existing provider
☁️ AWS Bedrock
🔷 Google Vertex AI
⬡ Azure AI Foundry
🔌 Claude API
🔌 GPT-4
🔌 Grok
🧠 Private LLMs
🔀 Multi-provider
The Gap Nobody Talks About
Model Access Is Solved.
Operational Complexity Is Not.
Model access is solved. Everything your application needs to survive in production — orchestration, observability, release engineering, governance — is still your problem.
✓ What Bedrock / Vertex / Azure
AI gives you
Access to frontier
foundation models
Managed model
infrastructure and updates
API-based inference at
scale
Built-in safety and
content filtering
Pay-per-token pricing
model
▲ What your team still owns, unmanaged
Agent orchestration,
scheduling, and failure isolation
Per-agent
autoscaling and queue management
API routing,
rate-limit handling, and failover
Distributed tracing
and cross-agent observability
Release engineering:
canary rollouts, drift detection, rollback
Cost attribution per
agent, per request
Security boundaries
and compliance controls
Production
incidents. Yours to own at 3am.
How It Works
Your Provider Stays.
We Operate Everything Around It.
XePlatform deploys the full AI application platform inside your cloud account. Your Bedrock, Vertex AI, Azure AI Foundry, Claude, GPT-4, or Grok endpoints stay exactly as they are. We manage the operational layer that makes your AI application production-grade.
Your AI Application
Yours
AI Products, Agents & Workflows
Your application, your agents, your business logic. Copilots, automation
workflows, document intelligence, customer support systems, whatever you are building.
Planner Agent
Retrieval Agent
Tool-use Agent
Evaluation Layer
Business Logic
runs on
Operated by XePlatform · Lives in your cloud account
AI Application Platform, Inside Your Account
The full operational layer: Kubernetes, agent orchestration, release pipelines,
observability, security, cost telemetry. Deployed inside your cloud account and operated by us. Not inside
a vendor's managed layer. Yours.
K8s Orchestration
Per-Agent Autoscaling
API Routing & Failover
Canary Rollouts
Drift Detection
Auto-rollback
Distributed Tracing
Cost Attribution
Security Controls
Release Engineering
routes calls to
Your AI Provider, unchanged
Yours
Bedrock · Vertex AI · Azure AI Foundry · Claude · GPT-4 · Grok · Private
Models
Your existing managed AI endpoints stay exactly as they are. XePlatform routes
calls with rate-limit awareness, cost tracking, and automatic failover, without changing your provider
relationship or contract.
AWS Bedrock
Google Vertex AI
Azure AI Foundry
Private LLMs
Multi-provider routing
Under the Hood
What Happens on
Every Managed AI Call.
Your application calls Bedrock, Claude, or Grok. XePlatform operates the entire layer around that call, invisibly and automatically.
🔀
Intelligent Routing
Every call routed with rate-limit awareness, cost tracking, and provider health checks.
Automatic failover if a provider is slow or unavailable.
📊
Cost Insights on AI and Infra Workloads
Full cost visibility across every AI and infrastructure workload. Token spend, compute,
and agent activity attributed per team and workflow. No surprise bills.
🔍
Distributed Tracing
Every prompt, response, tool call, and agent decision traced end-to-end. Full lineage
in your account, readable by your observability stack.
⚡
Per-Agent Autoscaling
Each agent scales independently based on queue depth and latency SLAs. No manual
capacity planning. No shared scaling bottlenecks.
🔒
Security Enforcement
RBAC, secrets management, network segmentation, and image scanning enforced at the
platform layer on every request, not just at deploy time.
📋
Immutable Audit Trail
Every execution record stored in your account. Permanent, tamper-proof, and accessible
to your team without involving XePlatform.
AI Experimentation
Find the Right LLM
Before You Commit to Production.
Benchmarks don't predict real-world performance. XePlatform lets you test your actual workloads across multiple LLMs in your own staging environment and compare what matters most before production, not after.
Release Engineering Patent
Pending
Staging. Versioning. Production.
Done Right.
XePlatform manages the full release lifecycle, from staging checks and versioning to cross-provider LLM benchmarking, before anything reaches production.
Before You Sign Off
Questions Specific to
Managed AI Deployments.
No. Your provider relationships, contracts, and
API integrations stay exactly as they are.
XePlatform deploys the operational layer around
your application without touching your provider configuration.
Your model endpoints, fine-tuned deployments,
and provider agreements are unchanged.
Yes. This is one of the capabilities that
differentiates XePlatform from AgentCore most clearly.
Run the identical agent workflow against Claude,
GPT-4, Grok, and a private model simultaneously in your staging environment.
Compare cost per request, p50/p95 latency, and
quality scores across all providers in one test run.
AgentCore evaluation cannot cross provider
boundaries. Its A/B testing is Bedrock-only by architecture.
XePlatform handles rate limits automatically
before they affect your application.
Configurable fallback policies: retry with
backoff, failover to an alternative provider, or queue and drain at a controlled rate.
If you have multi-provider routing configured,
traffic can be configured to shift to the next available provider transparently.
Rate limit events are logged, attributed, and
surfaced in your cost and observability dashboards.
All dependencies are pinned and declared in IaC.
Nothing installs or updates without an explicit versioned change.
Image scanning runs on every build. Promotion
gates can be configured to block on any unresolved CVE above a severity threshold.
Your security team can review the full
dependency manifest for any staging environment before promotion is approved.
RBAC controls who can approve promotions, with a
full audit trail of every approval decision.
Yes. Route general tasks to managed AI APIs for
speed. Run fine-tuned private models on GPU for cost-sensitive or compliance-sensitive
workloads.
XePlatform operates both as one platform:
unified routing, observability, cost telemetry, and release engineering across all workloads.
No fragmented tooling. No second operational
layer. One platform, inside your account.
