Create And Power Your Own Models. WebLLM.

Industry: Enterprise AI Strategy

The Privacy Imperative

Enterprise AI adoption has a fundamental tension: to get value from AI, you often need to send sensitive data to external APIs. For many industries—healthcare, finance, legal, government—this is a non-starter.

WebLLM changes this equation entirely.

What is WebLLM?

WebLLM runs large language models directly in the browser using WebGPU. No data leaves the user's device. Ever.

Key Capabilities

• 100% client-side inference - Data never touches a server
• GPU-accelerated - Near-native performance
• No API costs - Run unlimited queries
• Offline capable - Works without internet

Enterprise Use Cases

1. Sensitive Document Analysis

Legal teams can analyze contracts without exposing client data:

• Upload document → Model runs locally → Insights generated
• Zero data transmission
• Full audit compliance

2. Healthcare Applications

Patient data stays on the device:

• Symptom analysis
• Record summarization
• Clinical decision support

3. Financial Services

Trading desks and analysts can process proprietary information:

• Market analysis on sensitive data
• Compliance checking
• Client communication drafting

Technical Implementation

Model Options

We typically deploy:

• Llama variants (7B-13B)
• Mistral
• Custom fine-tuned models

Performance Characteristics

Device	Model Size	Tokens/Second
M2 Mac	7B	20-30
RTX 4080	13B	40-50
iPhone 15	3B	10-15

Hybrid Architecture

We often combine WebLLM with cloud APIs:

• WebLLM for sensitive data processing
• Cloud APIs for non-sensitive, complex tasks
• Smart routing based on data classification

Deployment Approach

Phase 1: Assessment

• Data sensitivity mapping
• Hardware inventory
• Use case prioritization

Phase 2: Pilot

• Deploy WebLLM for single use case
• Measure performance and adoption
• Gather feedback

Phase 3: Scale

• Expand to additional use cases
• Optimize model selection
• Build internal expertise

Why This Matters

The companies deploying WebLLM today will have:

• Competitive advantage in privacy-sensitive markets
• Lower long-term costs (no per-query API fees)
• True data sovereignty

The technology is production-ready. The question is whether you'll adopt it before or after your competitors.

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WebLLM represents a paradigm shift in enterprise AI. We help organizations navigate this transition while maintaining security and compliance.

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Originally published on Virgent AI Case Studies