The startup develops a decision support system for enterprise asset management that equips operations and maintenance teams with essential tools and resources. This user-friendly EAM solution enhances operational efficiency and data utilization, enabling asset and facility management companies to improve service delivery and drive business growth.
Funding
$400K 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
Operations and maintenance (O&M) teams often lack the tools to efficiently manage enterprise assets, leading to increased costs, reactive maintenance, and underutilization of data. Skill gaps, knowledge retention challenges, and the increasing complexity of data-driven environments further exacerbate these issues.
Solution
Xempla provides a decision support system (DSS) for enterprise asset management that equips O&M teams with the tools and resources needed to enhance operational efficiency and make data-driven decisions. The platform integrates with existing building management systems (BMS), computerized maintenance management systems (CMMS), and IoT sensors to centralize data and provide a holistic view of asset performance. Xempla's AI-powered agent automates triaging, facilitates lightning-fast investigations, and delivers AI-enhanced recommendations, enabling engineers to focus on high-value engineering tasks. The DIIV (Discover, Investigate, Implement, Evaluate) framework promotes proactive asset management, seamless collaboration, and continuous improvement.
Target Audience
Xempla targets O&M teams in commercial real estate, luxury residential, healthcare, data centers, and solar plants, as well as FM and engineering service companies seeking to improve asset performance, reduce costs, and enhance sustainability.
Features
- AI-powered RemoteOps Agent for automated triaging and prioritization of critical issues
- Operational Twin feature for no-code, real-time simulations to predict and optimize asset performance
- Integration with existing BMS, CMMS, CAFM, and IoT data sources via secure connectors and open APIs
- DIIV framework for proactive discovery, investigation, implementation, and evaluation of asset performance
- Knowledge Hub for accessing manuals, documents, and guides using semantic search
- Omi chatbot for on-demand assistance and information retrieval
- Automated compliance assessments and work order generation
- Mobile-first design optimized for teams on the move
- Customizable dashboards for visualizing asset performance and tracking ROI