Bring Your Own Native Capacity · A Momentum AI product

BYONC: Hybrid AI Infrastructure Without Vendor Lock-In.

Route AI workloads intelligently across local, cloud, VPC, and enterprise infrastructure — with capacity-aware execution, semantic routing, and credential isolation built in.

Explore BYONC
Hybrid AI routing Privacy-first Infrastructure-aware Capacity-aware execution Enterprise governance

Live topology

Workloads flowing through your hybrid AI fabric.

Watch BYONC route real-time, batch, and background workloads across local hardware, on-prem GPUs, VPC clusters, cloud providers, and external model APIs — capacity-aware, semantic-aware, security-aware.

BYONC router · live
Enterprise perimeter
External cloud
Active session
real-time
Batch job
throughput
Background
low-priority
BYONC Router
policy + cost + latency
Capacity router
Semantic router
Security & policy gate
Local
developer hw
llama 3.1 8B32%
On-prem GPU
A100 cluster
72B · 4x A10056%
Enterprise VPC
isolated
private endpoints41%
Cloud burst
aws · gcp · azure
on-demand22%
External API
frontier models
cost-gated18%
RPS142 P50 latency86ms P99 latency412ms Routed local61% Routed cloud22% Policy denies3

Simulated topology · representative of BYONC routing behavior.

Core capabilities

Eight infrastructure capabilities. One control plane.

BYONC is not a simple model router. It is a hybrid execution and routing architecture engineered for enterprises with real infrastructure, real compliance, and real cost constraints.

Why enterprises need BYONC

The six failure modes of generic AI infrastructure.

Most AI stacks were built for a single API provider, a single region, and a single trust model. Enterprises don't operate that way — and the gaps show up as lock-in, leaks, and unpredictable bills.

BYONC sits as the orchestration layer between your enterprise infrastructure and the AI systems running on top of it — so AI capacity becomes something you control, not something you rent without conditions.

Routing intelligence

Two routing layers. One decision.

Every workload passes through two complementary decision layers — one understands your infrastructure, one understands the workload itself.

Capacity router

Where can this run cheapest, safest, fastest?

Decides where a workload should execute based on real-time infrastructure availability, cost, latency targets, and security policy.

  • Live capacity signals from each pool
  • Cost ceilings and budget policies
  • Latency SLOs per workload class
  • Automatic failover and cloud burst
Semantic router

Which model fits this work?

Routes workloads to the most appropriate model or execution environment based on what the task actually needs.

  • Task-aware model selection (size, modality, specialization)
  • Data-sensitivity classification
  • Quality / cost trade-off per request
  • Honors org policy on which models data may touch
Dimension
Generic AI routing
BYONC
Decision input
Model rules
Capacity + semantics + policy
Execution targets
Cloud-only
Local · on-prem · VPC · cloud · API
Security boundary
Trust the provider
Workload-classified placement
Failure model
Vendor outage = downtime
Cross-pool failover & fallback
Governance
Manual policy enforcement
Enforced at the routing gate

Security & governance

Designed to keep your data and credentials on your side of the line.

Routing decisions don't just optimize cost — they enforce the trust boundaries your org already operates inside.

Deployment models

Five ways to deploy. Same control plane.

BYONC adapts to the shape of your infrastructure — from a single laptop to a cross-region hybrid fleet.

Private preview

Take control of your AI infrastructure.

BYONC is in private preview with enterprises running mixed local, on-prem, VPC, and cloud AI capacity. Bring your own infrastructure — we'll handle the orchestration.