Offline LLM Service
Full-spectrum LLM deployment & integration. We design, optimize, and ship on-device language systems that run entirely offline—from laptops and workstations to Android devices and embedded edge boxes. No data leaves your environment.
What You Get
End-to-end setup
Model selection, quantization, packaging, and app integration
LLM APIs you own
Local FastAPI endpoints or native SDKs (TS/Python/Kotlin/Swift)
Multi-agent orchestration
Task-specific agents with guardrails, tools, and shared memory
RAG without the cloud
Local document ingestion, embeddings, and vector search
Ops & observability
Offline evals, prompt/version tracking, and reproducible builds
Models We Support (and Tune)
Tested via llama.cpp (GGUF), with options for MLC-LLM, vLLM (air-gapped), or custom runtimes.
Phi-2, DeepSeek, Qwen, TinyLlama, and other compact families.
8, 6, 5, 4-bit for CPU/GPU/Metal.
LoRA/QLoRA fine-tuning on your secure machine.
Function calling, retrieval, code tools, and structured outputs.
Runtime & Integration Targets
APIs
FastAPI (Python) or Node/TS server actions for your app
Web Apps
Next.js + WebAssembly/WebGPU fallbacks for offline UX
Android
Kotlin/NDK packages with GGUF models on-device
macOS / Apple Silicon
Metal-accelerated local inference
Windows/Linux
CPU-first with optional NVIDIA CUDA
Multi-agent, Locally
Design agent teams that plan, call tools, and hand off results—without external services.
- Planner/Executor roles
- Tool adapters (file I/O, search over local corpora, CLI hooks)
- Safety guardrails (policies, allowlists, deterministic fallbacks)
Private RAG (no cloud)
Run retrieval-augmented generation on your own hardware.
- Local ingestion (PDF, DOCX, HTML, images → OCR optional)
- Embeddings and vector DB on disk (SQLite-VSS, Qdrant local)
- Deterministic retrieval pipelines with eval harnesses
Performance & UX Practices
Prompt Caching
Warm KV reuse for faster responses.
Streaming Tokens
Cancel/resume capabilities for better UX.
Background Jobs
Batched processing for heavy tasks.
Resource Caps
Protect foreground work and maintain stability.
Security Posture
Air-Gapped Builds
Signed artifacts for secure deployments.
Least-Privilege Access
Restricted file system permissions.
No Telemetry
Opt-in diagnostics only, ensuring data privacy.
Clear Upgrade Path
No vendor lock-in for future flexibility.
Delivery Packages
Single model, local API, app integration, basic RAG.
Multi-agent workflows, adapters, eval dashboards, on-device + desktop targets.
Offline license server, SSO/on-prem integration, policy packs, training for your team.