Occuspace

www.occuspace.com

VCMatch tracks Occuspace as an investor focused on AI/ML, Proptech, and Enterprise SaaS companies. Upload your deck to compare your startup against the full private matching profile.

Check Size

Not specified

Stages

Not specified

Focus Areas

AI/ML, Proptech, Enterprise SaaS

Geography

Not specified

Investment Thesis

Occuspace’s investment/operational philosophy centers on delivering privacy-first, AI-powered occupancy intelligence that makes space data “simple and actionable.” They prioritize building lightweight, deployable hardware and analytics that remove friction (no cameras, no complex infrastructure, quick installs) so organizations can replace anecdotes and assumptions with precise, anonymous occupancy metrics to drive portfolio optimization, operational efficiencies, and sustainability outcomes. The company stresses a human-in-the-loop approach: data should “point the way” while final decisions remain with planners and leaders.

Is Occuspace right for your startup?

Upload your pitch deck to compare your startup against VCMatch's private investor profile, including fit, timing, and next-step signals.

See If You're a Match View Sample Match

Investment Focus

Who should take a closer look

Occuspace is most relevant for founders raising venture-backed rounds in AI/ML, Proptech, Enterprise SaaS, and Hardware.

Focus statement

Focused on privacy-first occupancy sensing and analytics for buildings and portfolios (higher education, corporate real estate, healthcare, labs and public sector), Occuspace delivers plug-in sensors and AI models that produce room- and zone-level utilization metrics to enable cost savings, energy reduction, and right-sizing of space.

Value Add

Privacy-first sensing: emphasizes anonymous counts and explicit claims such as "We do not collect any personal information of any kind."
Non-camera, wireless plug-in sensors that "scan for wireless signals" and require "no complex installation, no infrastructure changes" (fast 1-2 day installs mentioned).
AI/ML de-duplication and signal filtering to convert wireless signals into accurate utilization metrics (claimed examples: "measure a 3,000-square-foot space with 95% accuracy").
Product breadth: Macro and Micro sensor options for different spatial granularity and explicit Wi‑Fi Access Point support (hybrid sensor + AP approaches).
BAS / IWMS / API integrations and open-standards orientation (BACnet, Project Haystack references) enabling automation and enterprise workflows.
Proven outcomes and ROI messaging (examples: "2-3x ROI in Year One", GSA selection to optimize 180+M Sq Ft).
Sector-tailored guidance (detailed playbooks for higher ed, labs, hospitals, corporate real estate) showing domain expertise beyond generic occupancy sensing.