Lightweight by design
Evaluate model size, resource needs and responsiveness for your tasks, balancing useful results with deployment costs.
SWIFT AI / LOCAL INTELLIGENCE
Smaller models.
Closer to your work.
Lightweight models and local deployment for enterprise applications.
Not bigger for its own sake. Intelligence that fits your business.
RIGHT-SIZED INTELLIGENCE
AI close to you.
And part of your work.
Swift AI is our AI solutions brand, focused on selecting, deploying and integrating lightweight models. We plan local AI around your tasks, data and available hardware.
Local to your environment
Plan the runtime, access controls and data flow around existing hardware or local servers. Offline capabilities and external dependencies are assessed per project.
Integrated into your workflow
Connect AI to your existing websites, apps, mini programs and internal systems through business knowledge and interfaces.
Business documentsOrganization & permissions
Local retrievalFind relevant content
Lightweight modelGenerate assistance
Business applicationsPresent & review
This is one possible knowledge-assistance workflow. The architecture depends on project requirements.
BUILT AROUND YOUR WORK
Start with a use case.
Then put AI to work.
Potential applications built around real enterprise work.
Enterprise knowledge assistance
Plan retrieval-based assistance, source references and access controls around product information, policies and project knowledge.
Content & document support
Explore summarization, classification, extraction and drafting using your own material, with human review of important outputs.
Existing system integration
Use agreed interfaces to connect AI with existing websites, apps, mini programs and internal tools, reducing fragmented workflows.
FROM NEED TO LOCAL DEPLOYMENT
Start with your needs.
Deploy with a clear plan.
Validate the fit before deciding how to deploy.
Assess needs & hardware
Define the target tasks, document scope, user numbers, existing hardware and network environment to establish project boundaries.
Select & validate a model
Evaluate candidate models with real samples, checking results, resource requirements and licensing before confirming integration.
Deploy & integrate
Configure the environment, interfaces and permissions to the agreed plan, then test and validate with real business tasks.
Model size, features, hardware requirements, response times and offline capabilities depend on the selected model and testing. This page introduces our solutions; it is not an online inference or download service.