Where Local AIChanges Everything.
From air-gapped defense systems to edge-deployed factory lines, from HIPAA-regulated healthcare to high-frequency document processing. Discover the scenarios where on-device AI is not just better, but the only viable option.
Where On-Device AI Is the Only Option
These environments cannot use cloud AI. Network constraints, regulatory mandates, or latency requirements make local inference the only viable path.
Air-Gapped & Classified Environments
Military installations, intelligence agencies, and government facilities that operate with no external network connectivity. Data cannot leave the building, let alone reach a cloud API. LM-Kit runs entirely on local hardware, processes classified documents, and supports secure multi-user access with zero internet dependency.
Why Cloud Fails Here
HIPAA-Compliant Patient Processing
Hospitals and clinics processing patient records, lab results, clinical notes, and radiology reports. PHI (Protected Health Information) must stay within the facility's network. LM-Kit enables AI-powered triage, summarization, and clinical decision support without any data leaving the hospital network.
Compliance Solved
Edge Inference on the Factory Floor
Assembly lines, quality inspection stations, and predictive maintenance systems that need real-time AI decisions. Network latency to a cloud API is unacceptable when milliseconds matter. LM-Kit deploys directly on edge devices, processing sensor data, inspection images, and operator queries without any network dependency.
Edge Deployment
Regulated Data & PII Protection
Banks, insurance companies, and fintech platforms processing customer financial data, transaction records, and loan applications. Regulatory frameworks (SOX, PCI-DSS, GLBA) mandate strict data handling. LM-Kit enables AI-powered document processing, fraud detection, and customer service without exposing financial data to third parties.
Financial Compliance
Every Industry. Every Environment.
Local AI opens doors that cloud AI cannot enter. Here are the scenarios where teams are deploying LM-Kit today.
Customer Support Automation
Deploy chatbots that handle complex multi-turn queries, remember customer history, call ticketing APIs, and escalate to humans when needed. All without sending customer data to external services.
Document Intelligence Pipeline
Process thousands of PDFs, contracts, invoices, and scanned documents daily. Extract structured data, classify content, and build searchable knowledge bases entirely on-premises.
Intelligent Tutoring Systems
Adaptive learning platforms that personalize content based on student level, track progress, and provide instant feedback. Student data stays within the school's network.
Legal Document Review
Law firms analyzing contracts, precedents, and regulatory filings. Attorney-client privilege demands that no document content reaches third-party servers. RAG over your legal knowledge base, entirely on-premises.
Enterprise Knowledge Base
Internal Q&A systems over wikis, documentation, Slack history, and project files. Employees get instant answers grounded in company knowledge without any data leaving the corporate network.
Multimodal Content Analysis
Process images alongside text for product quality inspection, insurance claim photos, real estate listings, or medical imaging reports. Vision models run locally with the same privacy guarantees as text.
Speech-to-Text Transcription
Transcribe meetings, phone calls, depositions, and medical dictation without sending audio to external services. Whisper models run locally with real-time output.
Agentic Research Workflows
Agents that reason, plan, search the web, and synthesize answers across multiple tools. ReAct planning with unlimited iterations at zero per-token cost. Build research assistants that think deeply.
Multilingual Translation
Real-time translation for global enterprises, embassies, and international organizations. Translate documents, conversations, and content without sending text to external translation services.
Deploy Anywhere
LM-Kit runs wherever your .NET application runs. From data center servers to edge devices to developer laptops.
On-Premises Server
Deploy on your existing server infrastructure with CUDA or Vulkan GPU acceleration. Run LM-Kit.Server for REST API access, or embed the SDK directly in your .NET applications.
Edge & Embedded
Run on industrial PCs, edge gateways, and embedded devices. ARM64 Linux support enables deployment on NVIDIA Jetson, Raspberry Pi-class devices, and custom hardware.
Desktop & Workstation
Run on developer workstations, analyst laptops, and creative workstations. macOS Metal acceleration, Windows CUDA, and CPU fallback ensure every machine can run AI locally.
One SDK for Every AI Task
LM-Kit.NET covers the full spectrum of AI capabilities, all running locally. No cloud dependency for any of them.
Chat & Conversations
Multi-turn dialogue with context, history, and streaming
AI Agents
ReAct planning, orchestrators, skills, and tool calling
RAG & Embeddings
Vector search, retrieval-augmented generation, knowledge bases
Document Processing
PDF, OCR, extraction, splitting, and classification
Vision & Multimodal
Image analysis with VLM models, OCR, and graphics
Speech Recognition
Whisper models for transcription and voice interfaces
Text Analytics
NER, sentiment, classification, summarization, translation
MCP & Tools
60+ built-in tools, MCP protocol, custom ITool interface
Explore the Full Local AI Story
Understand the complete case for on-device AI. From security to cost savings to architectural advantages.
Local vs. Cloud
A comprehensive comparison of on-device versus cloud-hosted AI inference across latency, privacy, cost, and control.
Read More Why Local AISecurity & Compliance
How on-device AI meets HIPAA, GDPR, SOC 2 and keeps sensitive data inside your infrastructure.
Read More Why Local AICost & Performance
Cut AI costs by up to 85%. Zero per-token fees, sub-10ms latency, GPU-accelerated local inference.
Read MoreFind Your Use Case. Build It Today.
From air-gapped deployments to high-frequency document processing, LM-Kit.NET powers every scenario where cloud AI falls short. Start building in minutes.
Have a specific use case? Talk to our team