The technology, demystified
Open-weight models have closed the gap. Today a single workstation can run intelligence that would have cost a fortune in cloud API calls three years ago — privately, offline, and forever yours.
Qwen3, Gemma 3, GPT-OSS, Llama 3.3, Mistral, DeepSeek and more — downloadable, auditable, yours to run. No API keys, no rate limits, no terms that feed your data into someone else's training set.
Ollama, vLLM and llama.cpp squeeze maximum performance from your GPUs (and even CPUs). Served behind an OpenAI-compatible API, so your existing apps just change one URL.
Copilots, RAG over your documents, agents and automations — built on your knowledge, running inside your perimeter, visible to your security team.
One size doesn't fit all. We benchmark candidates against your actual workloads and pick the model that wins on quality, speed and hardware fit — not hype.
Alibaba's latest open-weights family — 0.6B to 235B parameters with switchable reasoning modes, elite multilingual strength and top benchmark scores across the board.
Reasoning · MultilingualGoogle's latest open models — multimodal, 1B to 27B, with strong multilingual reasoning. Excellent on laptops, workstations and edge devices alike.
Multimodal · EfficientOpenAI's first open-weight models — gpt-oss-120b and gpt-oss-20b under Apache 2.0. Frontier-grade reasoning you can actually run, audit and own on your own hardware.
Frontier · Apache 2.0Battle-tested open workhorses. Huge community, permissive licensing and proven performance for general reasoning, code and high-volume low-latency workloads.
Proven · EfficientSpecialist open models — DeepSeek for math, code and agentic reasoning; Microsoft's Phi series for small-footprint, big-quality performance on modest hardware.
Specialist · CompactSpecialize any of the above on your domain — legal language, clinical notes, engineering docs — with your data staying on your hardware the entire time.
Domain-specificOne RTX 4090-class GPU runs 8B–20B models at interactive speeds. Perfect for teams piloting private copilots on a single machine.
~$3–5k hardware · 7×24 flat cost
Multi-GPU servers run 70B+ models serving whole departments — with redundancy, monitoring and enterprise access controls.
~$20–80k · org-wide inference
Tiny, rugged, offline. Jetson-class devices bring vision and language AI to factories, vehicles, clinics and sites with no connectivity at all.
~$300–2k · fully offline
Every paste into a public AI chatbot is a small leak of your company's knowledge. Contracts, source code, customer lists, strategy decks. Terms change, retention policies vary, and your competitors are using the same tools — without your edge.
With edge AI, the model works for you alone. Your fine-tunes, your RAG corpus, your prompts — none of it trains anyone else's product. It's the difference between renting a billboard and owning the land.
Read the security deep diveWe'll bring a demo node to your office (or hop on a call) and run your actual documents through a private model, in real time.