Provides an AI-driven desk management platform that predicts employee attendance and automates seat assignments in hybrid workplaces. By optimizing desk utilization and eliminating manual scheduling, it reduces office space costs, increases attendance by 24%, and offers managers actionable insights through detailed analytics.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many companies struggle with inefficient office space utilization in hybrid work environments, leading to unnecessary real estate costs. Traditional desk booking systems often rely on employee input, which can be unreliable and time-consuming. This results in wasted space, reduced employee engagement, and a lack of data-driven insights for office management.
Solution
BWith provides an AI-driven platform that optimizes desk management and automates seat assignments for hybrid workplaces. The platform uses machine learning algorithms to predict employee attendance and match them with suitable workspaces, maximizing office space efficiency. By eliminating manual scheduling and providing detailed analytics, BWith enables companies to reduce real estate costs, increase office attendance, and improve employee collaboration. The system integrates with existing company systems to provide a unified, real-time view of office space utilization.
Target Audience
BWith primarily targets medium to large organizations, particularly law firms and companies adopting hybrid work models, seeking to optimize office space and improve employee engagement.
Features
- AI-powered attendance forecasting that doesn't rely on employee input
- Automated seat reservations with intelligent seat assignments based on employee preferences, seniority, and department
- Real-time adjustments to seating arrangements based on schedule changes and unplanned arrivals
- Detailed analytics for department managers, including historical attendance data, office day overlaps, and gender bias analysis
- Integration with existing systems for streamlined operations
- Multi-site capabilities for managing multiple floors, buildings, or sites