On-Premise & Local Deployment
Run models on your own hardware, inside your own network. Your data never has to leave the building.
- Local inference setup
- Integration with your existing systems
- Ongoing updates and support


PrismLabs trains, deploys, and tailors AI models that run where your data lives — so your organization can move faster without giving up control.
Everything we do orbits a single idea: AI that is powerful, affordable, and yours.
Deploy models inside your own walls, or let us build AI employees shaped around your organization.

Run models on your own hardware, inside your own network. Your data never has to leave the building.
Dedicated AI employees built on your organization’s own knowledge, workflows, and terminology.
Here’s how it works for a hospital. The same process applies to any organization that wants AI shaped around how it actually operates.
Pick a local model deployed on your own premises, or a dedicated custom cloud AI relayed through PrismLabs.
We collect your hospital’s information, specialties, maps, and department data.
Using that knowledge, we build AI employees that belong exclusively to your hospital.
Your AI employees go to work, greatly reducing staffing costs and raising overall efficiency.
Any organization can get dedicated AI built on its own data. A few examples:
Case files, research, and intake
Internal knowledge and client service
Procedures, specs, and operations
Catalog, stores, and customer support
Courses, campus, and student services
Guest services and property information
Examples only. If your industry isn’t listed, we can still build for it.

One AI butler for your whole home. It controls your smart devices across ecosystems through simple, natural conversation.
Planned ecosystem support
We train models on massive GPU capacity running on hydropower we own, and pass the savings on to customers in the US.

More than 100,000 NVIDIA GPUs in China power our model training.
We own hydropower stations in China, so our training runs on low-carbon, green energy.
We bring China’s energy cost advantage to our customers in the United States.
Approximate, published figures; not PrismLabs’ audited cost. Different measures: US = average retail electricity price for businesses, USD 0.151/kWh, March 2026, incl. taxes and fees (GlobalPetrolPrices.com). China hydro = average on-grid (wholesale) tariff of China Yangtze Power’s hydropower stations, CNY 285.52/MWh in 2024 (2024 Annual Report), ≈ USD 0.043/kWh at ≈ 6.70 CNY/USD.
Local-first models keep your data entirely on your premises, avoiding concerns about cross-border data exposure.
Train and fine-tune models on large-scale NVIDIA GPU capacity, from data preparation through evaluation.
PrismLabs SI INC is an early-stage AI startup, incorporated in Wyoming, USA in 2026. We help organizations train, deploy, and own AI that fits the way they work.
We believe the most useful AI is private: built on your own knowledge, running where you choose, and accountable to you.
Our mission is to make powerful, private AI practical and affordable for every organization.
Tell us what you’re working on and we’ll get back to you.