Manufacturing runs on precision and continuous improvement — but the data is scattered across MES, ERP, supply-chain apps, and quality reports. QuaerisAI converges Data, Document, and People workflows so plant managers, engineers, and finance ask plain-English questions and get sourced, traceable answers back to the source — no SQL, no custom dashboards.
Manufacturers run lean against a sprawling mix of MES, ERP, quality, and supply-chain systems, plus the documents that surround them. The bottleneck isn't the data — it's getting governed, traceable answers into the hands of the people running production.
Output and downtime sit in MES, costs and inventory in ERP, supplier terms in contracts, and quality results in separate systems. Answering one production question means stitching numbers and documents together by hand across tools.
Plant and finance teams wait on weekly or monthly reporting cycles to understand where a line stands. By the time a variance or yield issue surfaces, the moment to course-correct on the floor has often already passed.
Every question about throughput, scrap, OEE, or supplier status routes through IT or a reporting queue. The people who own the line outcome can't get answers on their own, and the analysts who can are stretched across every plant.
When a number arrives, it's hard to act on without seeing where it came from. Teams hesitate to make cost or quality decisions on figures they can't trace back to the source data on the line.
Traditional BI requires someone to model the data and write the queries before anyone gets an answer. That dependency leaves engineers and operations waiting on technical resources for questions they could otherwise ask in plain English.
Four capabilities built around how manufacturing teams actually work — from asking in plain English to analyzing production data and documents together, all on an AI-native architecture.
Plant managers, engineers, and executives query data as easily as they'd text a colleague and get sourced answers back. QuaerisAI's AI-native architecture removes the SQL and modeling barrier so the people who own production can self-serve directly — turning every employee into their own analyst.
QuaerisAI brings structured production data, documents, and the people who use them into one governed workflow — whether it's a sensor log, an inventory sheet, or a supplier contract. Output, cost, and quality data from MES and ERP are analyzed alongside contracts and procurement records in a single question.
Every answer traces back to the source data, so plant and finance teams can act on figures they trust. Full traceability turns plain-English questions into faster root-cause detection and confident decisions on the floor.
QuaerisAI connects to 25+ structured and document sources — ERP, MES, quality systems, CRM, warehouses — so you finally see the full production picture. One platform replaces multiple point solutions, with no forklift upgrade and no migration. Go live in weeks, not months.
QuaerisAI is architected so agentic analytics can be deployed safely on your production and financial data — no data movement, governed access, and a full audit trail of every query.
No level-zero data movement. QuaerisAI reads data where it lives instead of copying it out.
Role-based access control (RBAC) governs who can ask what across structured and document sources.
Encryption and audit trails record every query and the answer returned.
No data storage and no model training on your data — your production and financial data stays yours.
We cut training times from weeks to days and gave our teams answers they can trust, with full traceability back to the source. One intuitive, secure platform fit right into how we already work — no rip-and-replace.
