Data security by design
The model and the enterprise's data both live locally — public cloud, private cloud, or fully on-premise — removing the leakage risk of sending records to external services.
Geminiscene builds private, on-premise language models and multi-agent applications for companies that cannot send business data to public AI services — keeping every model and every record fully in-house.
Based in Shanghai, Geminiscene helps every enterprise own a private AI assistant — powered by language models deployed and fine-tuned entirely on the customer's own infrastructure, so sensitive business data is never exposed to third-party models.
The model and the enterprise's data both live locally — public cloud, private cloud, or fully on-premise — removing the leakage risk of sending records to external services.
Enterprise deployments delivered end to end — from data preparation and fine-tuning through production rollout and ongoing maintenance.
A team from strong research and engineering backgrounds, with real experience building customer-service systems for local-life and e-commerce platforms.
A layered stack that keeps infrastructure, data governance, and models under the enterprise's control — with a natural-language, multi-agent layer on top.
Open, commercially-usable models deployed on-premise and fine-tuned on the client's own knowledge base — a private model tailored to the business, not a shared public one.
Tenant-isolated data governance, permission management, and the full lifecycle: development, debugging, training, and a data platform.
Public- or private-cloud deployment with an emphasis on base-layer security — including integrated hardware-plus-software options for self-contained rollouts.
For a food delivery platform, a private model classifies each request, then either retrieves an answer from the enterprise knowledge base or dispatches agents to read order data and carry out business actions.
Example: a customer asks where an order is → the model plans (user ID → order ID → delivery info → ETA) → the database agent queries live data → the system replies, or the API agent files a refund automatically.
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Whether you're exploring on-premise models or a specific automation, we're glad to talk through what a private deployment would look like for your business.
contact@geminiscene.io