Alago provides AI-powered tools to automate construction project documentation, converting notes and transcripts into structured protocols up to 50% faster. The platform features an intelligent chatbot for quick data retrieval and automated reporting based on meeting content. It enables real-time collaboration and secure external access for project stakeholders within a traceable timeline.
Funding
Funding not disclosed
Founders
Product
Problem
Construction projects often suffer from opaque decision-making processes, leading to unclear causes for delays and budget overruns. Project managers struggle to track decisions effectively due to heterogeneous and unstructured data scattered across emails, meeting minutes, and various documents. This results in wasted time, lost information, and difficulty learning from past projects.
Solution
Alago provides an AI-powered platform designed to streamline construction project documentation and decision tracking. The platform combines a user-friendly interface with AI-driven insights to ensure seamless decision follow-up, reduce delays, and control costs. By leveraging AI, Alago extracts mission-critical decisions from unstructured data sources, such as emails and meeting minutes, and presents them in a structured format. This enables real-time collaboration, automated reporting, and precise timeline visualization, ensuring all stakeholders are informed and accountable.
Target Audience
Alago is designed for project managers, construction specialists, and other stakeholders involved in construction projects who need to track decisions, manage risks, and prevent costly delays.
Features
- AI-powered search to efficiently manage construction projects and quickly retrieve information from project logs
- Smart logbook to track the evolution of decisions, individual trades, and objects on a timeline
- Automated reporting that populates reports with content from project logs, highlighting potential delays, cost overruns, and concerns
- Real-time database enabling simultaneous collaboration among team members, ensuring everyone has access to the latest information
- External access feature allowing users to share individual logs, views, or entire projects with subcontractors and partners
- Data encryption both in transit (TLS 1.3 / AES-256) and at rest (AES-256)
- Role-based access control to ensure data is separated by role and organization
- AI models that do not use input data for retraining, ensuring data privacy