Control AI access
Reduce shadow IT by giving your business one governed place to approve apps, providers, keys, and model access.
Msty Nexus - Inference gateway
Own the inference layer behind your AI tools.
Put one governed inference layer behind your AI tools for model routing, local runtimes, provider keys, usage visibility, and guardrails.
Product info
A control plane for the AI stack you already use.
Msty Nexus sits between your applications and model endpoints. It standardizes the plumbing for local runtimes and online providers, protects credentials, applies routing and guardrails, and gives visibility into inference traffic.
Leverage local AI
Keep sensitive data private and secure on local infrastructure, while still using online models when the job needs them.
Add guardrails
Apply extra protections like scoped tokens, PII redaction, key blocking, and routing rules before requests reach models.
How it works
One gateway between apps, models, and credentials.
Nexus gives teams and power users a single place to connect AI tools without scattering provider keys and runtime settings across every application.
Connect runtimes and providers
Bring local runtimes and hosted providers into one Nexus-managed catalog.
Set presets, aliases, and policies
Standardize model settings so applications call stable names instead of fragile provider details.
Issue app-scoped tokens
Give each approved tool its own local token and revoke access without rotating every key.
Route and monitor requests
Use compatible endpoints while Nexus tracks usage and keeps provider credentials protected.
Power features
Route, balance, and scale model work.
Nexus is more than a gateway. It can choose the right model path, distribute traffic, and coordinate inference capacity so every request does not land on the most expensive model.
Dynamic model routing
Send each request to the right model for the job. Keep expensive models for work that needs them, and route routine tasks to cheaper or local models to reduce token costs.
Load balancing
Distribute requests across available runtimes and machines so teams can keep throughput steady without pointing every app at one overloaded endpoint.
Clustered inference
Coordinate multiple machines as shared inference capacity for larger local workloads, central servers, or teams that need more horsepower behind the gateway.
Features
Built for model access that needs control.
Use Nexus as the operating layer for local runtimes, hosted providers, governed app access, and practical usage visibility.
Model gateway
Give applications one governed catalog across local runtimes and online providers.
Credential control
Keep provider credentials in one controlled place instead of copying them across tools.
Compatible endpoints
Connect approved applications through familiar OpenAI- and Anthropic-compatible endpoints.
Runtime control
Manage supported Ollama, llama.cpp, and MLX runtimes alongside hosted model access.
App tokens
Issue scoped tokens per application instead of sharing one master key across every integration.
Usage visibility
See requests, latency, and usage by application and provider from one place.
Connection approvals
Review and approve new model or provider connections before applications can use them.
Network boundary
Keep the gateway off the LAN by default and open access only when you choose to.
Pricing
Free to start. Pro and Enterprise when you need shared control.
Nexus is available as a free download. Pro and Enterprise add managed scale, protection controls, logging, and team governance.
Local gateway
Free
$0Free download
Download Nexus and run the local gateway on your machine.
- Free desktop download
- Unlimited gateway requests
- 1 managed machine
- Local gateway for approved apps
- Provider model catalog
- Basic local usage visibility
Pro editionRecommended
Pro
$9.99per month
$99/yearSave $20.88 with annual billing
Managed Nexus control for advanced access, protection, and observability.
- Unlimited gateway requests
- 3 managed machines
- Load balancer and fallbacks
- PII detection, key blocking, additional guardrails, and basic logging
Enterprise edition
Enterprise
Starts at $499per month
Starts at $4,999/yearSave $989+ with annual billing
Enterprise controls for larger teams, stricter environments, and managed deployments.
- Unlimited gateway requests
- Starting at 125 managed machines
- Teams/RBAC, rate limits, SSO, and priority support
- Cluster, air-gapped support, and team/user logging
| Feature / Attribute | Free | Pro | Enterprise |
|---|---|---|---|
| Usage & Billing | |||
| Gateway Requests | Unlimited | Unlimited | Unlimited |
| Managed machines | 1 | 3 | Starting at 125 included |
| Administration | |||
| Desktop Console | |||
| Cloud console | - | ||
| Teams / RBAC | - | - | |
| Team / User rate limit | - | - | |
| Single Sign-On (SSO) | - | - | |
| Routing & Safety | |||
| Smart Routes | Limited | ||
| Load Balancer | - | ||
| Cluster | - | - | |
| Fallbacks | - | ||
| Logging & Support | |||
| Basic logging | |||
| Team/User logging | - | - | |
| Priority Support | - | - | |
Pricing FAQs
How Nexus capacity is counted.
What is a Managed Machine?
The number of machines or inference runtimes registered with Nexus to provide model inference, such as employee Macs, Mac Studios, or centralized servers.
Do client devices count as managed machines?
Client devices do not automatically count as managed machines. A laptop simply consuming inference from a central server is a client; it only counts as a managed machine if it also provides inference through Nexus.
How are people and AI workloads counted?
Humans and AI workloads are treated equally. A client can be a person, AI agent, application, workflow, or service.
What determines plan capacity?
Published plan capacity is based on the number of managed machines registered with Nexus.
Does Nexus charge by token or gateway request?
No. Nexus does not charge based on the number of tokens processed and has no gateway request limits, so heavy AI usage does not create per-request fees or overages.
What deployment sizes does Nexus support?
Nexus is designed for local and centralized AI. A deployment can range from a few shared inference servers to hundreds or thousands of employee devices contributing local inference.
Does on-prem work the same way?
Yes. Capacity can be enforced locally, allowing Nexus to support private and air-gapped environments without requiring usage telemetry to Msty.
Download
Install the local Nexus gateway.
Download the desktop gateway for the machine that runs Nexus and routes approved apps, models, credentials, and local runtimes.