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losci

The startup develops AI-based predictive analytics tools that utilize IoT location data and building information to create digital twins of physical spaces. This technology provides actionable insights into occupancy and utilization, enhancing safety, efficiency, and operational performance for businesses.

Mountain View, United StatesFounded 2020150+ followers
Updated 3 months ago

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.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional space planning relies on guesswork and generic simulations, often leading to inefficient layouts, poor space utilization, and costly post-construction modifications. Existing solutions lack the ability to accurately model human behavior and predict how people will interact with a space in real-world scenarios.

Solution

Losci provides an AI-powered platform that creates digital twins of physical spaces, incorporating building information and simulated human behaviors to optimize space planning and operational efficiency. The platform allows users to test multiple scenarios, assess the impact of staffing and work schedules, and understand how people will flow through a space. By simulating real-world conditions, Losci helps clients identify potential issues before construction begins, reducing costs and ensuring that spaces are designed to meet the needs of their occupants. The platform's analytics suite provides insights into utilization, safety, collaboration, and efficiency, enabling data-driven decisions about space configuration and resource allocation.

Target Audience

Losci targets commercial real estate developers, corporate space planners, and operations managers seeking to optimize space utilization, improve operational efficiency, and enhance the overall experience for building occupants.

Features

  • AI-driven simulation of human behavior within digital twins of physical spaces
  • Scenario planning to test different layouts, workflows, and capacity loading
  • Vector flow analysis to identify and address traffic flow bottlenecks
  • Collaboration effectiveness analysis to optimize space for interaction
  • Photorealistic AR/VR environments for immersive walkthroughs of planned spaces
  • Integration with IoT data for enhanced accuracy and real-time insights
  • Customizable analytics dashboards for monitoring space utilization and performance
This profile is AI-generated and may contain inaccuracies.