From the shop floor to the decision layer — we build the software that connects them.

We build the software layer that connects the floor to the decision layer: custom MES and production dashboards (work-in-progress, machine utilization, yield, quality checklists), supply-chain visibility and management platforms (supplier portals, PO tracking, inbound visibility, demand forecasting), inventory and warehouse management systems (real-time stock, location tracking, reorder automation, pick-pack-ship), predictive maintenance and equipment monitoring, ERP integration and workflow automation, and operational analytics and BI dashboards (OEE, cost-per-unit, supplier scorecards). We work with mid-market manufacturers, distributors and 3PLs, supply-chain and logistics-tech startups, plant operations and maintenance teams, and COO / VP Operations leadership.

No. We are software-first and ERP-agnostic: we build on top of and alongside the ERP you already run, not in place of it. The ERP runs the business; our job is the operational layer it was never designed for — surfacing floor-level data in real time, connecting siloed systems, and building the custom modules and middleware that SAP, Oracle, Dynamics, and Epicor don’t handle out of the box. That’s a realistic, high-value niche where mid-market manufacturers are consistently underserved, and it doesn’t require us to own the ERP relationship.

This is one of the most common situations we see. We’re not the hardware or IoT vendor — we’re the software and data layer that makes existing sensor investments useful. We integrate with your IoT sensor APIs, OPC-UA endpoints, and SCADA historians, then build the predictive-maintenance models, equipment health scores, downtime reporting, and dashboards that turn that raw signal into maintenance intelligence and action. The hardware is already in place; we build the layer that finally pays it back.

Carefully, and by design from the first commit. We bridge OT and IT through segmented, least-privilege data paths aligned to the ISA-95 / Purdue model, so production data flows up to dashboards and analytics without exposing controllers to the corporate network or the internet. We integrate over authenticated, encrypted industrial protocols (OPC-UA, MQTT/Sparkplug B) rather than flat polling, enforce role-based access with audit trails, and — for defense, aerospace, and regulated manufacturers — design data handling aligned to ITAR / EAR and ISO 27001 expectations. We walk your IT security and OT teams through the boundary and access model before anything connects to the plant network.

AI is an intelligence layer that activates once your data is connected and ready to work harder — not a gimmick on every feature. In practice that means anomaly detection on production KPIs with automated alert routing when throughput drops, predictive-maintenance models that score failure probability before equipment goes down, demand forecasting across your supply chain, agentic workflows that automate procurement triggers and invoice matching, and natural-language querying that lets a plant manager ask a question in plain English and get a dashboard answer without waiting on an analyst. Each one makes the underlying MES, WMS, or analytics system sharper over time.

Yes. We help founders ship an MVP-first platform on an API-first architecture that scales, so you’re not re-platforming after your first growth spike or enterprise deal. That means a working product fast — a supply-chain visibility core, a WMS, or a forecasting engine — with the ERP, 3PL, EDI, and data integrations your product depends on, engineered to be investor- and audit-ready from day one.