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Whiz

Whiz provides an autonomous cobotic vacuum system for commercial facilities, using AI navigation and SLAM to continuously clean large floor areas while reporting coverage and performance via a cloud analytics platform. The solution integrates with existing facility‑management software through REST APIs, allowing staff to focus on higher‑value tasks such as disinfection and inspection.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Commercial cleaning teams spend a significant portion of labor hours on repetitive vacuuming, leading to inconsistent floor coverage, higher fatigue, and limited capacity to perform higher‑value tasks such as sanitization. Staffing shortages and tight profit margins exacerbate the difficulty of maintaining uniform cleaning standards across large facilities.

Solution

Whiz is a cobotic vacuum system that autonomously navigates complex commercial environments using the BrainOS self‑driving stack. The robot executes continuous vacuuming while a connected analytics suite, WhizConnect, aggregates telemetry to generate route‑efficiency reports and performance dashboards. Data are transmitted over a secure TLS channel to a cloud service where algorithms identify coverage gaps and suggest schedule adjustments. Operators interact with an intuitive touchscreen UI or mobile app to start, pause, or reassign cleaning runs without specialized training. The platform integrates with existing facility‑management software via RESTful APIs, enabling automated work‑order creation and KPI tracking. By offloading routine vacuuming to the robot, cleaning staff can redirect effort toward deep‑cleaning, disinfection, and inspection activities.

Target Audience

Primary customers are facilities managers and cleaning service contractors responsible for large‑scale venues such as office complexes, retail centers, hospitals, and hospitality venues that require consistent floor maintenance.

Features

  • BrainOS AI navigation with SLAM mapping for obstacle avoidance and dynamic path planning in real time
  • 3‑hour Li‑ion battery delivering up to 500 m² per hour of cleaning, with automatic docking for self‑charging
  • HEPA‑grade filtration (99.97 % capture of PM 2.5) and 4 L dust‑bag capacity to meet indoor‑air‑quality standards
  • WhizConnect cloud analytics: route‑optimization metrics, runtime logs, and predictive maintenance alerts
  • Connected pager and mobile push notifications for status updates, error codes, and remote start/stop commands
  • REST API and Webhook support for integration with CMMS, BMS, and enterprise scheduling platforms
  • Modular consumable design (replaceable battery, filters, brushes) for low‑maintenance turnaround
  • Optional leasing program with bundled service contracts and analytics subscription
This profile is AI-generated and may contain inaccuracies.