For technical teams
Do I need to change my AI model?
Your AI model stays exactly as it is. Axiom Vertex works with major commercial and open models, token-based or non-token; when the model needs data, your Virtual Organization's compute fabric supplies the validated, drift-free context it reasons over.
What happens to my context window?
Your model keeps its window and uses it for the request at hand. Your context stays in your own storage, and each request brings in the validated records it needs as drift-free context, so your model can draw on all of it, whatever the size of its window.
Where does my data live?
In your own storage, under your control. Your Virtual Organization runs on its own dedicated compute fabric, connected to sources such as AWS S3, Google Cloud, Azure Blob, PostgreSQL or MySQL. Run it as a managed subscription, on your own nodes, or fully air-gapped.
Where does the saving come from?
Data movement is where most of the spend goes in running AI at scale. Your Virtual Organization's compute fabric resolves each request and supplies only the validated records that answer it, so the model reads less and uses fewer tokens.
Will the context change between runs?
Same question, same context, every time. The context is re-derivable and drift-free, so an AI model run with deterministic decoding returns the same answer. Each record carries a validation proof of where it came from and that it is unchanged.
Does it work with my tools?
Yes. It works with agent frameworks such as LangChain and CrewAI, serving platforms such as vLLM and Fireworks, and any OpenAI-compatible endpoint, through REST, MCP and SDKs in six languages.
For investors
What stage is the company at?
Pre-seed. The production-ready enterprise core is built, and the MVP live pilot is ready for deployment. Full commercial operation comes after MVP live pilot testing and orchestration are completed.
How does Axiom Vertex make money?
In three steps. An open-source API to start on the platform, subscriptions for a managed Virtual Organization, and a perpetual licence to run the platform on your own infrastructure. Axiom Vertex Big Bang, an open source API service for training data validation, model training and attestation, is billed per call.
Who is it for first?
AI-native software companies, GPU clouds and inference providers, and enterprises running agent workloads. Axiom Vertex supports any market segment that runs AI; these three come first because they already face AI operational and capital cost constraints, and their barriers to entry are the lowest.
How do we start?
With a pilot in your own Virtual Organization. Run the same questions with and without the platform, compare tokens, compute and accuracy, and judge the savings before you commit.
