Agent Platform
Agents, made
on your own ground.
Private AI agents that agencies build and clients own. Agent Platform turns a client’s own business data and documents into an agent that does one job well, is tested before release, and runs on the client’s own hardware. Their data stays private, and there are no per-question fees.
01 Intake
Raw material
in the door.
Builders pick the agent type, a template, an approved base model and the client’s hardware, then describe the job in plain language: rules, tone, tools and what’s out of scope. Spreadsheets, email exports and documents come in encrypted under the agency’s own key, with personal information masked before anything reaches a model provider.
02 The mill
Milled into
training data.
Builders answer questions about the business. The platform does the machine learning. It generates training examples from the brief and the client’s records, a judge model filters them, and a person reviews a sample. Rejected categories regenerate before any training is paid for, then a small model trains on a CPU or one GPU, every stage shown live.
03 Release gate
Nothing ships
until it passes.
Every build is scored on cases it never trained on, including attempts to trick it, and each category has to clear its threshold before the download unlocks. Below a confidence threshold, or outside its job, the agent says it doesn’t know and hands off to a person instead of guessing.
04 Dispatch
Signed, sealed,
sent out.
A release leaves as a signed package with its model card, evaluation report, signed lineage and software bill of materials. The deployment guide comes filled in for that exact build: Docker, Compose, Helm, Kubernetes, VM or bare metal, each with an air-gapped variant.
05 Book a call
Talk it through with the team.
Agent Platform is set up with each agency, not self-serve. We’ll walk you through the platform, look at the client jobs you have in mind, and set up access if it fits. Investors can ask for a call or a briefing too.