Density

Name: Density
Brand: Density

Leader

The leading space analytics platform for measuring and improving workplaces

Est 2014|Valuation $1.1B|Raised $225.1M|14 Ref Customers

LinkedIn 11K|Web traffic 7K|FTEs 59|HQ San Francisco, California, US

MarketsOffice & Space Management Smart Buildings

01Competitive Landscape

Narrative comparison

- Density vs VergeSense: VergeSense markets an enterprise-focused occupancy intelligence platform with many integrations and deployment services. Density differentiates by emphasizing anonymous-at-source counting and offering a lower-cost self-install sensor option (Waffle) for select use cases. - Density vs camera-based people counters: Density positions its approach as reducing privacy risk by avoiding video and audio capture. Camera systems can provide additional analytics (demographics, heatmaps) but generally require stronger governance for privacy and data handling. - Density vs basic occupancy sensors (PIR/dual-tech): Basic sensors can be lower cost per room but often detect motion rather than true occupancy counts and may require integration work to produce utilization analytics.

Adoption trends / market observations

The workplace analytics market remains influenced by hybrid work patterns and real estate optimization efforts. Vendor claims and funding history indicate Density has targeted enterprise portfolios, while Waffle appears designed to expand addressability to smaller or lower-cost deployments.

	Density (Waffle + platform)	VergeSense	PointGrab (representative competitor)
Starting Price	Waffle: low-cost hardware + per-space software (annual billing) with a higher per-unit monthly option shown; desks and rooms priced differently by space type	Quote-based (typical) + services; public information emphasizes enterprise programs; some service pricing like redeployment is published	Typically quote-based; pricing rarely public
Best For	Privacy-oriented people counting; self-install deployments with Waffle; occupancy data intended to complement booking/badge records; API-driven use cases	Enterprise occupancy intelligence programs with broader planning/ops workflows and integration ecosystem	Smart building occupancy analytics; depending on sensor modality and integration needs
Key Strength	Published low-cost self-install tier; emphasis on privacy (no cameras/mics); real-time and historical APIs	Broader enterprise workflow capabilities and integration messaging	Often aligns with building automation and offers different sensing modalities
Key Weakness	Limited independent review footprint in public review sites; enterprise network constraints; some sensors (Waffle) provide capped counts (3+)	Pricing transparency is limited; deployments can be complex and service-heavy	Less visible public proof/pricing; sensor modalities may raise privacy/governance considerations depending on configuration

01Competitive Landscape

Narrative comparison

Density vs VergeSense: VergeSense markets an enterprise-focused occupancy intelligence platform with many integrations and deployment services. Density differentiates by emphasizing anonymous-at-source counting and offering a lower-cost self-install sensor option (Waffle) for select use cases.
Density vs camera-based people counters: Density positions its approach as reducing privacy risk by avoiding video and audio capture. Camera systems can provide additional analytics (demographics, heatmaps) but generally require stronger governance for privacy and data handling.
Density vs basic occupancy sensors (PIR/dual-tech): Basic sensors can be lower cost per room but often detect motion rather than true occupancy counts and may require integration work to produce utilization analytics.

Adoption trends / market observations

	Density (Waffle + platform)	VergeSense	PointGrab (representative competitor)
Starting Price	Waffle: low-cost hardware + per-space software (annual billing) with a higher per-unit monthly option shown; desks and rooms priced differently by space type	Quote-based (typical) + services; public information emphasizes enterprise programs; some service pricing like redeployment is published	Typically quote-based; pricing rarely public
Best For	Privacy-oriented people counting; self-install deployments with Waffle; occupancy data intended to complement booking/badge records; API-driven use cases	Enterprise occupancy intelligence programs with broader planning/ops workflows and integration ecosystem	Smart building occupancy analytics; depending on sensor modality and integration needs
Key Strength	Published low-cost self-install tier; emphasis on privacy (no cameras/mics); real-time and historical APIs	Broader enterprise workflow capabilities and integration messaging	Often aligns with building automation and offers different sensing modalities
Key Weakness	Limited independent review footprint in public review sites; enterprise network constraints; some sensors (Waffle) provide capped counts (3+)	Pricing transparency is limited; deployments can be complex and service-heavy	Less visible public proof/pricing; sensor modalities may raise privacy/governance considerations depending on configuration