Internal enterprise knowledge
Organize documents, access boundaries, retrieval and internal question answering around your team.
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PRIVATE AI INFRASTRUCTURE
Your business. Your AI infrastructure.
Plan models, data, applications and infrastructure together. Build enterprise knowledge systems and internal deployments with clear access boundaries and operational handover.
BUILT FOR REAL WORK
Start with the work you do.
Locally hosted models
Assess inference and fine-tuning options against hardware, model licensing, performance and use cases.
From pilot to deployment
Turn a demonstration into a deployable service with defined interfaces, configuration and operating procedures.
HOW WE WORK
A clear path to delivery.
01
Assess the environment
Review compute, networks, data, models and application requirements to establish a feasible scope.
02
Validate the full path
Prove a small model, retrieval or business workflow before expanding the system.
03
Deploy and hand over
Deliver configuration, services and operating guidance. Verify access, functionality and recovery.
DELIVERABLES
Deliver for what comes next.
Scope, timing and acceptance criteria are agreed before the project begins.
- Architecture and resource recommendations
- Agreed model and application services
- Configuration, update and recovery documentation
- Deployment checks and operational handover
QUESTIONS & ANSWERS
A few things to know.
Can we deploy without a GPU?
Some tasks can use CPUs or external model APIs. The approach depends on model size, speed and data requirements.
Do you support offline environments?
We first review models, components and dependencies to define the functions that can operate offline.
Can you integrate with existing systems?
We assess integration against the available APIs, databases, permissions and workflows.
LET’S BUILD SOMETHING
Your next step. Let’s start together.
Bring an idea, a requirement or an existing project. Scan the WeChat code and tell us what you want to achieve.
Contact on WeChatchengxunkeji999
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