[ AI SYSTEMS ]
We design agentic workflows as the primary layer — then the models and the integrated or local air-gapped stacks those agents run on. Safety is engineering: control, residency, evals, and kill switches — not a manifesto.
[ PROCESS ]
Manual handoffs stall. A designed system keeps the work moving — with tools, memory, and human gates where they belong.
Ops exception routing
Waiting on people · no ownership graph
Scheduler · residency · audit trail
[ OFFER - THREE LAYERS ]
From custom autonomous agents and fine-tuned models to private, local deployments — we build enterprise AI systems that automate complex workflows while keeping your data, memory, and code 100% under your control.
Designed workflows with tools, memory, human gates, and schedulers — not a chat window bolted to your ops.
Focus Intake → action pipelines with audit trails.
Fine-tunes, eval harnesses, and routing so models fit the workflow — not the other way around.
Focus Task-fit models with measurable gates.
Cloud-integrated or air-gapped stacks where agents, memory, and residency stay under your control.
Note Agents + local travel together.
[ ENGAGE & COLLABORATE ]
Collaboration-first. We scope the system with your operators, then harden it before autonomy expands.
Map exceptions, data boundaries, and where humans must stay in charge.
Workflow graph, tools, memory, gates, and residency choices.
Agents, schedulers, integrations — wired to your stack.
Evals, audit trails, kill switches, and fail-closed paths.
Monitor, tune, and expand autonomy only where gates pass.
[ LOCAL OR AIR-GAPPED ]
We research and build toward air-gapped and offline agent stacks — process schedulers, persistent vector memory, and residency controls that keep inference and state on your hardware.
[ SAFE ENGINEERING ]
Principles we bake into the system — not a slide deck about “responsible AI.”
EVIDENCE // HONEST
Active work includes a local agent process scheduler MVP and synthetic benchmarks for tool-use / gate latency under residency constraints. Public numbers land when they are real; until then this stays labeled research.
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