Governed agentic analytics for construction and project finance. QuaerisAI converges Data, Document, and People workflows so project managers and finance ask plain-English questions and get sourced, traceable answers back to the source data — no SQL required.
Construction and project finance teams run lean against a sprawling mix of accounting systems, warehouses, and document repositories. The bottleneck isn't the data — it's getting governed, traceable answers into the hands of the people running projects.
Budgets and work-in-progress sit in accounting systems and warehouses, while contracts, change orders, and procurement records sit in OneDrive, SharePoint, and Google Drive. Answering a single project question means stitching together numbers and documents by hand.
Project managers and finance wait on the monthly budget cycle to understand where a project stands. By the time variances surface in a review, the moment to course-correct on cost has often already passed.
Every question about budget, WIP, or subcontractor status routes through finance or a reporting queue. PMs who own the project outcome can't get answers on their own, and the people who can are stretched thin across every job.
When a number does arrive, it's hard to trust without seeing where it came from. Teams hesitate to act on figures they can't trace back to the source data, slowing decisions on live projects.
Traditional BI requires someone who can model the data and write the queries. That dependency leaves project and finance teams waiting on technical resources to answer questions they could otherwise ask in plain English.
Four capabilities built around how construction and project finance teams actually work — from asking in plain English to analyzing structured and document data together, all on an AI-native architecture.
Project managers and finance ask exactly what they need in natural language and get sourced answers back. QuaerisAI's AI-native architecture removes the SQL and modeling barrier so the people who own project outcomes can self-serve directly.
QuaerisAI brings structured data, documents, and the people who use them into one governed workflow. Budgets and WIP from your accounting systems and warehouses are analyzed alongside contracts, change orders, and procurement records — in a single question.
Every answer traces back to the source data, so project and finance teams can act on figures they trust. Full traceability turns plain-English questions into decisions teams are confident running projects on.
QuaerisAI connects to 25+ structured and document sources — no warehouse rebuild, no migration. It reads from your accounting, warehouse, and document systems and goes live in days to weeks.
QuaerisAI is architected so agentic analytics can be deployed safely on your project 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 project and financial data stays yours.
We went from monthly budget reviews to daily visibility. QuaerisAI lets our project managers ask exactly what they need and get answers they can trust, with full traceability back to the source data. It's changed how we run projects.
QuaerisAI converges your Data, Document, and People workflows across 25+ sources — no data movement, full governance, and plain-English answers traceable back to the source.
