The full-stack platform for production-ready
Agents
The full-stack platform for production-ready Agents
Publish, access, and operate workflow-specific Agents, backed by GMI's model access, same-network inference, and managed compute
One runtime, one storefront, flexible infrastructure
200+
Models Available
Global
Data Center Coverage
99.9%
Uptime target
Trusted by teams launching production Agents
+ More coming soon
Not an agent catalog
A launchpad for Agents
Most teams do not want another directory of demos. They want an AI agent that works, and a clear path to deploy, list, and operate it in production. GMI Agentbox is where workflow-specific Agents get packaged, distributed, and monetized at scale, with unified model access, inference, and compute behind them
Access or deploy, in one platform
Access
Explore production-ready Agents, compare capabilities and runtime resources, and access the right workflow faster
Deploy
Deploy privately, validate the runtime, then publish to the Agentbox when you're ready
Use GMI your way
Some teams need compute. Some need model access through a hosted API. Others need both. GMI Agentbox supports all three adoption paths, whether you're deploying an enterprise AI agent, building a customer-facing agent product, or scaling an internal workflow
Option 01
Compute
GMI handles deployment, hosting, and runtime operations
You bring your own model layer
Option 02
Models
GMI provides model access with 200+ models on one API key
You manage your own runtime environment
Option 03
Compute + Models
GMI handles model access, compute, and operations
One unified system end-to-end
Coming soon
Whether you are packaging a workflow into a customer-facing Agent or scaling an internal deployment, GMI supports modular adoption, not a one-size-fits-all stack
Deploy first. Launch when ready
Deploy your Agent
Start with a private deployment on GMI infrastructure
Connect models & compute
Use GMI Models, GMI Compute, or both together
Validate and publish
Test performance, then create an Agentbox listing linked to your live deployment
Operate after launch
Track usage, logs, spend, and operational metrics once you're live
For builders, GMI shortens the path from working prototype to launchable product, without a separate hosting, model setup, or distribution stack
Everything you need to go from workflow to product
Building an AI agent is the easy part. Getting it deployed, listed, and operating reliably at scale, across models, compute, and users, is where most teams slow down. GMI closes that gap with one unified platform instead of five stitched-together tools
Launch faster
From validation to packaging to listing, one path, not three separate projects
Full stack, unified
Model access, inference, and runtime compute in one place. No stack assembly required
Transparent by default
Users see pricing, availability, and runtime specs before they commit
Production-grade, not prototype
Deploy, publish, and operate, not just demo. Designed for teams that need to ship
Full visibility after launch
Usage, logs, spend, and performance, all in one dashboard once you're live
Every runtime mode
From fast start/stop to 24/7 always-on, on the same platform
One platform. Built for any Agent, any workflow, any team
Client cases
From external service Agents to internal enterprise automation, teams across industries are launching on GMI
Topify
Enterprise AIExternal AgentTopify used GMI's MaaS and container infrastructure to launch an enterprise-ready Agent deployment platform. With access to 100+ models through an OpenAI-compatible API, container hosting, and deployment support from GMI, Topify delivers pre-configured AI assistants to enterprise teams with custom personalities, tool policies, and usage metering
- 2-day launch from setup to deployed control plane, proxy, and admin dashboard
- Significant reduction in setup and configuration time per client
- Dramatically faster deployment vs. custom integrations per customer
SocratesLabs
Agentic WorkspaceSecure Agent DeploymentPowering Secure Agent Deployment with GMI Cloud SocratesLabs uses GMI Cloud to run containerized agent and model workloads for Morphic, an agentic workspace for project management, wiki, and workflow automation. With built-in workload segregation and managed infrastructure support, SocratesLabs can deploy enterprise-ready agent environments faster with only one click spinup — without managing baremetal VMs or custom server setup. And GMI enables Morphic’s customers to shift quickly between models without friction. “We chose to move over to GMI Cloud because it became much more intuitive. We have segregation and infrastructure support done out of the box, and our cloud setup was almost five times cheaper than AWS.” — Joshua Sum, CEO, SocratesLabs
- ~5x lower cloud cost compared with AWS-based setup
- Built-in workload segregation for secure multi-tenant deployment
NemoClaw
Open SourceEarly AccessAn early-access, open ecosystem Agent launched on GMI with verified Agentbox presence, better discoverability, and clearer trust signals for community and enterprise users
- Verified Agentbox presence for early-access launch
- Improved discoverability and trust for open ecosystem Agents
- Better packaging for hybrid and community-driven entry points
GMI Cloud Sales Ops Agent
Revenue OpsInternal AgentTriage leads, draft responses, route opportunities, and sync activity to CRM, packaged as a monitored, reusable production Agent instead of a one-off internal script
- 3× faster lead response handling
- 40% higher qualified-meeting conversion
- Centralized post-launch visibility across usage and performance
TinyHumans
TinyHumans builds personalized AI assistants and agentic employees — powered end-to-end by GMI's inference stack across LLM, audio, and video models. As the product scales, TinyHumans is expanding from MaaS into compute and container services to deliver secure, user-level instances with stronger isolation and operational control.
- GMI inference stack powers every TinyHumans agent across text, audio, and video
- Centralized multimodal model access on a single infrastructure layer
- Clear expansion path from MaaS into compute and container services
- Private VM model for secure, user-level instance delivery
- Stronger isolation and uptime for shared multi-tenant workloads
- Built-in observability across container usage and end-user activity
One platform
Not a patchwork of tools
Most teams can build an Agent. Fewer can ship it. GMI connects deployment, model access, discoverability, and visibility in one product
| Capability | Self-Hosted / Stitched Stack | GMI Agentbox |
|---|---|---|
| Deployment + launch path | Manual | Included |
| Model + inference + compute | Separate setup | Included |
| Resource transparency | Manual | Included |
| Agentbox access layer | Separate system | Included |
| Usage and logs | Separate tools | Included |
| Go-live visibility | Limited | Included |
| Commercialization path | Custom build | Included |
FAQ
Get quick answers to common queries in our FAQs
Your Agent is ready
Now make it launchable
Deploy, list, and operate, with the model access, inference, and compute to go from workflow to product