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Queiros

Queiros is an AI-driven platform that captures operational data from WhatsApp messages—including photos of delivery notes, purchase orders, and invoices—and automatically reconciles it against orders and shipments. It flags mismatches like shortages or unbilled items, with the original photo behind every number for traceability. The platform integrates two-way with existing systems like Excel, ERP, and invoicing tools.

Traction 7/10
Buenos Aires, Argentina · HQ
Founded 20255100+ followers
  • Enterprise Software
  • Artificial Intelligence
  • Logistics & Supply Chain
  • Software Only
  • Data & Analytics
  • Construction Technology
Updated 13 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Delivery notes, orders, and forms get lost between paper and WhatsApp groups, leaving nothing centralized or traceable. Reconciling happens when there's time, not when it's needed, and every difference is money lost.

Solution

Queiros provides an AI-driven platform that captures operational data directly from WhatsApp conversations—whether text, voice notes, photos, or videos—and automatically transcribes and structures it into actionable records. The system enables teams to log information effortlessly, query it conversationally, generate instant reports, and receive alerts when patterns deviate from the norm. It also supports two-way integrations, allowing data to flow seamlessly between Queiros and existing business systems. The platform is designed to work with no new apps and no training required.

Target Audience

Primary users are operations managers, field teams, and logistics coordinators in industries like construction, maintenance, delivery, and facility management who need a simple, mobile-first way to capture and access operational data without changing their communication habits.

Features

  • AI-powered transcription and structuring of unstructured messages (text, audio, photo, video) into standardized records
  • Automatic reconciliation of incoming documents (delivery notes, orders, invoices) against outgoing records, flagging mismatches like shortages, stock mismatches, and unbilled shipments
  • Natural language querying to retrieve specific data instantly from the operational archive
  • Automated report generation, eliminating manual spreadsheet building
  • Anomaly detection and pattern alerts that notify teams when metrics drift from expected ranges
  • Two-way integrations that sync data in and out of external systems (Excel, Gmail, Airtable, ERP, API) for continuous workflow automation
  • Per-organization data isolation, with data never used to train models, and full traceability with the original photo behind every number
This profile is AI-generated and may contain inaccuracies.