Trellar provides an agent-based AI platform that unifies fragmented corporate real estate data into actionable insights and recommendations. This platform automates data aggregation, forecasting, and scenario modeling to drive proactive portfolio strategy and optimization. The core value is enabling real estate teams to achieve significant cost savings and efficiency gains by focusing on strategic decisions rather than manual data wrangling.
Funding
$3.5M 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 organizations struggle with fragmented data from disparate building sensors and systems, leading to inefficient building management and underutilization of office spaces. This siloed data makes it difficult to gain comprehensive insights into building performance, hindering efforts to optimize energy consumption, reduce operational costs, and improve the employee experience.
Solution
Trebellar offers a unified analytics and operations platform that aggregates and normalizes data from various workplace technologies, providing a single source of truth for real estate data. The platform enables organizations to customize dashboards and reports, track key performance indicators (KPIs), and gain actionable insights into space utilization, energy consumption, and employee engagement. Trebellar also leverages AI to automate alerts, ticketing, and work order creation, enabling proactive building management and improved operational efficiency. By providing a holistic view of building performance and automating key workflows, Trebellar empowers organizations to make data-driven decisions, optimize resource allocation, and create more productive and engaging work environments.
Target Audience
Trebellar is designed for real estate organizations, facilities managers, and workplace leaders seeking to optimize building performance, reduce operational costs, and improve the employee experience.
Features
- Aggregates data from diverse sources including sensors, building management systems (BMS), and other workplace technologies
- Normalizes data across different spaces and time zones to ensure data integrity
- Customizable dashboards and reports for tracking key performance indicators (KPIs) related to space utilization, energy consumption, and employee experience
- AI-powered co-pilot for generating analysis and reports in minutes
- Automated alerts and notifications for proactive issue detection and resolution
- Workflow automation for streamlining operations and reducing manual tasks
- Predictive analytics for forecasting demand and optimizing resource allocation
- Secure data encryption and role-based access controls
- Integrates with a wide range of systems and sensors, with support for custom integrations within 10 business days