Company

One company, one stack for business AI

We research and train on GPUs we operate — then ship models, team apps, and developer APIs customers run in production.

ResearchProductsPrivacy & securityUS-hosted

GeniusPro, LLC · Montana, US

Mission

AI for business, built end to end

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

We believe in data privacy and security

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.

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.

PII Scrubbed From Our Logs

Emails, phone numbers, SSNs, credit cards, IP addresses and API keys are masked before requests land in our logs and stored history.

Opt-In Edge Scrubbing

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.

Security & privacyPrivacy policy

How we work

Principles behind the company

  1. 01

    Research first

    Benchmarks, fine-tunes, and safety harnesses in GeniusPro Lab before anything hits production.

  2. 02

    Independent products

    Ainslie, Simon, Models, Fleet, and Compute each have their own identity, version line, and release story.

  3. 03

    Privacy & security

    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.

  4. 04

    Hybrid infrastructure

    Our US cloud for production API plus GPU lab nodes for agents, voice, and private inference.

  5. 05

    Customer control

    Workspaces, per-team keys, optional private compute, and opt-in scrubbing before requests reach upstream providers.

Keep exploring

See what we ship

The lab publishes models. Products turn them into apps and APIs. Business covers white label, private GPUs, and enterprise onboarding.