No Training On Your Data
Your prompts pass through to the model you chose and nothing is used to train anyone's models — not ours, not the upstream provider's.
Company
We research and train on GPUs we operate — then ship models, team apps, and developer APIs customers run in production.
GeniusPro, LLC · Montana, US
One stack
Benchmark and fine-tune in GeniusPro Lab on hardware we operate.
Release behind stable Simon slugs — often via auto-update, no migration projects.
Surface in Ainslie, white-label apps, and developer APIs with shared billing.
Run on US cloud, private GPUs, or Fleet workers — with audit logs and workspace isolation.
Mission
We believe in data privacy and security — and we build every product that way. Business AI should not require a patchwork of vendors, migration projects, or opaque routing. GeniusPro runs the full loop — research, train, ship, and operate — so customers get models and products they can depend on.
We operate our own GPUs and cloud stack alongside US provider APIs. That hybrid lets us benchmark honestly, fine-tune experts, and ship Simon — one API and product line customers can trust.
Ainslie gives teams a workspace. Simon gives developers an endpoint. Fleet and Compute give enterprises control over where work runs. Each product stands on its own, but they share the same lab, billing, and governance layer.
What we believe
Trust is not a marketing line — it is how we design the stack. Your prompts are not used to train models. Sensitive fields are masked in our logs. Every request is traceable.
Your prompts pass through to the model you chose and nothing is used to train anyone's models — not ours, not the upstream provider's.
Emails, phone numbers, SSNs, credit cards, IP addresses and API keys are masked before requests land in our logs and stored history.
Send X-GP-Scrub-Prompt: true (or scrub_pii: true in the body) and PII is masked before the request ever reaches the upstream provider.
How we work
Benchmarks, fine-tunes, and safety harnesses in GeniusPro Lab before anything hits production.
Ainslie, Simon, Models, Fleet, and Compute each have their own identity, version line, and release story.
No training on your data, PII scrubbed in logs by default, US-hosted providers, encryption in transit and at rest, and auditable usage — published honestly on our security page.
Our US cloud for production API plus GPU lab nodes for agents, voice, and private inference.
Workspaces, per-team keys, optional private compute, and opt-in scrubbing before requests reach upstream providers.
What we build
Fifteen products across three lines — each callable or deployable without stitching together unrelated vendors.
Team-facing products — chat, voice, studio, white label, and the Platform control plane.
Simon API, model catalog, auto-update slugs, voice, vision, CATs, and agent modes for builders.
Distributed agent workers and private GPU nodes connected to the same API your app already calls.
Explore
Fifteen products across apps, API, and infrastructure.
OpenResearch pipeline, releases, and model updates.
OpenBuild on Simon — docs, models, and OpenAPI.
OpenWhite label, enterprise, and preview access.
OpenModel releases, product updates, and lab notes.
OpenData handling, privacy, and compliance posture.
OpenKeep exploring
The lab publishes models. Products turn them into apps and APIs. Business covers white label, private GPUs, and enterprise onboarding.