Inference, RAG, fine-tuning, and deployment Workspaces
Build, test, deploy, monitor, and optimize AI systems
AxForge is an autonomous AI runtime platform for technical builders. Every AI system lives in a Workspace — from first goal to a deployed, observed, and continuously improved service.
Placeholder customers and early design partners
What users can actually do
One Workspace for each AI system
AxForge is built around the thing customers understand: the assistant, endpoint, generator, or model-powered workflow they are trying to run.
Workspaces
Each AI system gets a Workspace that holds its models, data, runs, endpoint status, evaluations, cost, and compliance posture in one place.
Model Gallery
Pick from capability-first model cards — what each model is good for, context, tool and RAG fit — and start a Workspace from the right one.
AI-assisted planning
Describe a goal in plain language and get a proposed plan with estimated runtime, cost range, compliance notes, and the runs it would create.
Endpoint deployment
Promote a Workspace to a running inference endpoint and track its deployment status alongside the system that produced it.
Logs and traces
Every run carries structured logs and traces, so you can see what the system actually did instead of guessing.
Evaluations
Score model and system quality with repeatable evaluations before and after changes, not just at launch.
Trust and Compliance
Operational audit status, data sensitivity, PII scans, retention, residency, and AI Act notes are tracked per Workspace.
From idea to running model
Start with a goal. Let the system create the work.
The product experience should feel simple even when the backend is doing serious work: model choice, data preparation, jobs, evaluations, billing, and trust checks.
View preview plans- Choose a model or describe the assistant you need
- Connect documents, logs, tickets, or product data
- Run RAG, fine-tune, evaluations, and deployment jobs
- Track usage, errors, cost, and compliance per Workspace
Mock testimonials
Ready for real customer stories later
“AxForge gave our product team one place to plan the assistant, test prompts, track runs, and see cost before we touched production.”
“The Workspace model is the part we wanted. Data, runs, evals, deployment state, and compliance notes stay tied to the same AI system.”
“Our non-technical service team can describe what they need, and engineering can still inspect the exact jobs and model behavior.”
Preview access
Build your first AI Workspace
Create an account, test the console, and use the placeholder flows while the production inference infrastructure comes online.