VergeSense
Agent21Agent Readiness: 21/100. Bottom 25%. Measured by StartupHub.ai. Median 41.Trust91Data Trust: 91/100. Top 25%. Measured by StartupHub.ai. Median 61.AI-powered platform for understanding and optimizing physical spaces through sensor data.
About
VergeSense offers a Workplace AI Platform that provides Occupancy Intelligence and Decision Intelligence. Their platform analyzes data to help businesses plan smarter, align space to demand, uncover savings, and design better workplaces. They serve customers across various industries including Financial Services, Technology, Insurance, Professional Services, and Life Sciences.
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Key facts
- Website
- vergesense.com
- Headquarters
- San Francisco, United States
- Founded
- 2017
- Employees
- 108
- Total funding
- $26M (Series B)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 1 Dec 2020 | Series B | $12M | Tola Capital |
| 21 May 2020 | Series A | $9M | |
| 25 Oct 2018 | Seed Round | $2M | JLL Spark |
| 1 Jul 2018 | Seed | $3M |
Tech stack
Detected on vergesense.com, last scanned 4 Nov 2026. Run your own scan
- Analytics
- Google Analytics 4, Google Tag Manager, LinkedIn Insight Tag
- Support
- HubSpot, Zendesk
- CDN
- Cloudflare
- Hiring platform
- Lever
- Video / media
- Vimeo, YouTube
- Visitor tracking
- ZoomInfo WebSights
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Frequently asked
Is VergeSense trustworthy and reputable?
StartupHub's Data Trust & Reputation score for VergeSense is 91 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has VergeSense raised?
VergeSense has raised a total of $26M in funding. The most recent round on record is Series B.
How many employees does VergeSense have?
VergeSense has approximately 108 people on record.
SEC filings, insider activity, nonprofit links and pay benchmarks for VergeSense:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules
