Assistants, RAG, fine-tuning, and deployments in one Workspace model.
About AxForge
We are building the workspace for practical AI systems
AxForge helps teams turn models, data, prompts, jobs, and deployed endpoints into something they can actually use. The goal is simple: make inference, RAG, fine-tuning, and model operations understandable for developers, AI teams, and the people who need the system to work.
Every model, dataset, run, cost, log, and compliance note belongs somewhere clear.
GDPR and EU AI Act posture are treated as product behavior, not just paperwork.
What we are making
One place to build, run, test, and improve AI services
Most AI products start as a mix of provider dashboards, scripts, data folders, billing exports, and half-remembered settings. AxForge is being shaped around a cleaner unit: the Workspace. Each Workspace represents one AI system or model workflow, from first setup to deployed use.
- Inference for chat, image, video, music, and model testing
- Workspace-based RAG and fine-tuning workflows
- Deployment, job history, logs, traces, usage, and cost visibility
- Tenant isolation, soft delete, audit capture, and privacy controls
Useful before flashy
The platform should make it easier to get a model working, tested, billed, and monitored. If a page does not help that work, it should not be there.
AI that can act
The assistant is meant to guide real operations: create Workspaces, start jobs, explain failures, and keep users out of implementation details.
Trust at the edges
Public pages, logged-in sites, BFFs, gateways, APIs, and databases all have clear jobs. Users should feel one product, while the platform keeps its boundaries.
Contact us
Tell us what you want to build
Use this form for early access, private model work, RAG or fine-tuning questions, deployment planning, pricing, or partnership conversations.
Good to include
- The model or workflow you want to run
- Whether you need RAG, fine-tuning, or a deployed endpoint
- Any privacy, retention, or compliance constraints