AI
Open weights run. EdgeLance decides.
Open-weight models run on the device. EdgeLance places the work, audits the actions, cites the sources, and serves each role the right view.
Product Proof
Decision support that shows its work.
The operator sees the mission pressure, time window, source evidence, and recommended actions together. EdgeLance can advise, but authority remains with the person responsible for the decision.
Open weights
Model runtime.
Open-source inference baseline.
- Open-weight LLMs
- Open-weight VLMs and embeddings
- Open ASR and recognition models
- Permissive licensing (Apache, MIT)
- Edge runtimes across Windows, Android, macOS, iOS, Linux
- Quantization for on-device inference
- Pre-trained on web-scale data
- Hardware-agnostic inference
EdgeLance AI
Mission AI fabric.
Place, audit, cite, serve.
- Inference broker with capacity and thermal policy
- Agent orchestrator with action receipts and audit
- Threat analyzer: multi-modal reasoning over alerts
- Mission RAG with source-trusted citations
- Mission narrator and missed-update summaries
- Intel curation and source-trusted answers
- Mission-wide search across chat, Vault, markers, sources
- Model control plane (any model, swappable, route receipts)
Backed by provisional patent applications filed with USPTO in June 2026 covering the scope-bound edge intelligence control plane, policy-gated agent execution with dynamic node placement, mission pack compiler with fit gates, clearance-bound retrieval-augmented generation with no-parametric-fallback refusal, multi-modal edge-tier curation with capacity-policy routing, and the policy-denial evidence ledger.