garlicmax exists so any company can build, orchestrate, and scale AI agents on production infrastructure — without needing an infrastructure team of their own.
The gap between what AI can do and what most companies can actually deploy keeps widening — not because the models aren't ready, but because the infrastructure around them is expensive, fragmented, and slow to stand up.
We close that gap. garlicmax combines private AI inference with a full agent platform, so the distance between an idea and a production AI system is measured in minutes, not quarters.
Inference, agents, orchestration, and observability live in one platform. No stitching together a model provider, an agent framework, and a monitoring tool — and paying three teams to keep them running.
Every model and every agent runs on autoscaling infrastructure with scale-to-zero. You ship to production without capacity planning, GPU procurement, or a DevOps hire.
Agents aren't an add-on bolted onto an API. They're versioned, testable, observable primitives you can compose, guardrail, and deploy with the same rigor as the models underneath them.
Access controls, audit logging, private deployment options, and human oversight are built in — not upsold later. Serious AI deployment is the baseline, not the premium tier.
200+ models on autoscaling GPUs. Pay per token, scale to zero, route to the best model for each job — with no capacity to manage.
Explore inference →Composable, versioned agents with memory, guardrails, and full execution traces — deployed on the same infrastructure that serves the models.
Explore agents →Most teams run agents on one platform and inference on another — which means every hop adds latency, cost, and one more place for things to break. On garlicmax, agents call models on the same private AI layer, so routing decisions are instant, costs are metered in one place, and every execution is traceable end-to-end. It's the difference between assembling a stack and simply having one.
You don't need GPUs, a model-ops team, or an existing AI platform to start. Sign up, describe your agent in plain language, and connect it to the tools you already use — we run everything underneath, from model serving to monitoring.
As you grow, the same platform scales with you: dedicated capacity, private deployment, and enterprise controls when you need them — never before.
Monitor performance, investigate failures and review execution history for every agent.
Capture routing decisions, tool activity and execution outcomes with full traceability.
Fine-grained permissions, guardrails, and configurable data-handling policies per agent.
Open model library, usage-based pricing, and no proprietary runtime to migrate away from.
Create an account and run your first agent in minutes — or talk to us about your enterprise requirements.