You do not need to choose a robot fleet before starting. QAVEN can begin with an evidence-led readiness assessment, or move directly into a controlled AMR pilot. Either way, we start with one operation, measure what matters and scale only after the case is proven.
Use process data, workflow observation and simulation to establish the current-state baseline, compare automation and capacity scenarios, and identify where physical automation could create measurable value — before committing to a robot platform.
Baseline · scenarios · readiness caseExplore a Readiness Sprint →Start with one repetitive flow and a controlled 10–20 robot sandbox. Scale only what the evidence supports — from one process to a production zone, site and eventually a broader multi-vendor automation estate that can adapt as demand and resource availability change.
Validated flow · measured result · scale pathDiscuss a pilot →No large upfront CAPEX. No full-site redesign. No decision on hundreds of robots. Start with the process where value can be demonstrated quickly and safely.
Receiving → storage → production → shipping
Automated movement between warehouse zones and workstations
Components and materials delivered directly to production lines
Products or mobile racks delivered to picking stations
Flexible robotic movement complementing fixed conveyors
Automated movement from reserve storage to picking areas
The best first project is not necessarily the biggest opportunity. It is the process where we can prove value quickly and safely.
Map the physical flow, business constraints, available data, queues, workstations and uncertainty. For a pilot-ready customer, this can be a compact validation step. For an earlier-stage customer, it becomes the evidence baseline.
Compare human, hybrid and robotic scenarios; model fleet size, routes, charging, throughput, layout assumptions, policies and interfaces with WMS, WES or MES.
When the case is strong enough, move into controlled physical proof. QAVEN Core validates and executes supported missions through deterministic contracts; a typical first sandbox remains 10–20 AMRs.
Compare predicted and observed outcomes: throughput, labour hours, cost per movement, uptime, cycle time, exceptions and scalability. Use the evidence to refine the operating model and determine the next scale step.
Scale only what the evidence supports — from one process to a production zone, site and eventually a broader multi-vendor automation estate.
QAVEN Core is the deterministic orchestration and integration layer between enterprise systems and one or multiple robot fleets. Its target architecture normalizes vendor-specific interfaces into stable capabilities, operational state and mission primitives.
Selected customers may participate in optional SEMANTIQ design-partner work. The target is to reason over operational intent, constraints, effective resource capabilities, simulation evidence and observed outcomes — while QAVEN Core remains the deterministic execution boundary.
SEMANTIQ reasons about what should happen. QAVEN Core validates and executes what may happen.Over time, the same evidence can support a second question: what physical capacity and operating configuration should exist to meet the next business condition?
Show us one repetitive intralogistics process — especially one affected by labour shortages, seasonal peaks or temporary capacity pressure. We’ll help determine whether it is a strong AMR pilot candidate — and what it would take to scale.