Own Your AI InferenceNeoX will observe
Inference
control.
NeoX is the brain above the stack. It doesn't replace your infrastructure — it observes and steers. Autonomous inference operations, built for the enterprise.
Deep Observability
Full visibility into latency, throughput, and GPU utilization — attributed to every app, team, and project. See exactly who is burning your GPU budget and where the bottlenecks are.
Visibility.Control.Autonomy.
Built for
real workloads.
Whether you run coding assistants, enterprise copilots, or full agentic platforms — NeoX gives you the control plane to operate them reliably at scale.
Coding Assistants
Route to on-prem LLMs on customer GPUs with QoS and observability.
Omnichannel Support AI
Monitor capacity and SLOs, then automatically burst overflow traffic.
Enterprise Copilots
Standardize infrastructure with transparent per-team usage quotas.
Agentic Platforms
Flag and terminate rogue anomalies with budget limits.
Know your
numbers.
Most teams cannot say what a task costs them, or how much of their GPU fleet is actually doing work. The audit gives you those numbers in 30 minutes.
What is your effective GPU utilization?
Measured per app, team and tenant — not averaged across the fleet.
What does a task actually cost you?
Attributed to model, team and deployment choice.
Where are your SLO gaps?
TTFT, end-to-end latency and queue saturation, broken down.
Zero-friction
integration.
NeoX drops into your existing stack. No migration, no rip-and-replace. Works with every major serving framework and GPU infrastructure.
Works with the open models
you already run.
NeoX sits above your serving stack, not your model choice. Route requests to any of these without a migration.
Served through the engine you already run. Not a supported-model list — if your stack serves it, NeoX routes it.
Built for
enterprise scale.
NeoX is built for enterprises running AI at scale, in-house. Four teams. One control plane.
AI Platform Teams
“Own your inference ops”
Take ownership of inference operations with the tools to enforce SLOs and govern fleet behavior autonomously. See exactly who is burning your GPU budget.
AI Platform Teams
SLO governance
FinOps & Engineering Leaders
Cost attribution
Infrastructure & MLOps
Fleet management
Enterprise AI Leaders
Business alignment
Integrate in
minutes.
NeoX sits above your existing inference stack. Point it at your vLLM cluster, configure your SLO tiers, and you have full observability and control — no infrastructure changes required.
Drop-in integration
Works with vLLM, SGLang, and every major serving framework.
OpenTelemetry native
Structured traces, metrics and logs from your first request.
Policy-as-code
Define SLO tiers, quotas, and routing rules
Shadow testing
Remediations run in shadow mode before going live in production.
Start with
an audit.
Inference Audit
30-minute expert session — free
- GPU utilization analysis
- Bottleneck identification
- Cost attribution review
- SLO gap assessment
- Actionable findings report
Pilot
Deploy NeoX on one workload cluster
- Full observability stack
- SLO enforcement setup
- Semantic routing config
- Per-team quota policies
- Dedicated onboarding
- 30-day impact report
- Zero migration required
Enterprise
Full autonomous control plane
- Multi-cluster deployment
- Air-gapped / VPC support
- Autonomous remediations
- Fleet behavior history
- Full audit trail
- 24/7 support SLA
- Custom SLO tiers
- Executive cost reporting
Schedule your
Inference Audit.
30 minutes with a NeoX Inference Expert. Walk away with a clear picture of your GPU waste, SLO gaps, and a remediation path.
Free 30-minute session — no commitment required
