Euclid Analytics

Name: Euclid Analytics
Brand: Euclid Analytics

Euclid connects the physical world.

Est 2010|Raised $43.6M

LinkedIn 3K|Website|FTEs 35|HQ San Francisco, California, US

MarketsLocation Intelligence

01Competitive Landscape

Narrative analysis

Where alternatives may provide clearer documentation or packaging - Placer.ai: broader public presence and packaged insights for commercial real estate and retail intelligence; offers a free edition for evaluation. - Aislelabs: explicit positioning around Wi‑Fi plus guest engagement workflows; may be a better fit when guest Wi‑Fi is central to marketing. - RetailNext (not in table): often positioned around sensor‑based store analytics and has a different operational and pricing profile. Where Euclid’s historical positioning differed - Early presence in the physical analytics category - Compatibility with major Wi‑Fi vendors in historical messaging - Attempts to bridge offline visits and marketing attribution in specific product announcements Market adoption trends (high‑level) The category has evolved from pure Wi‑Fi analytics toward: - Blended signals (camera, sensors, badges, BLE, Wi‑Fi) - Increased scrutiny of privacy and consent - More packaged BI and benchmarking instead of raw tracking

	Euclid Analytics	Placer.ai	Aislelabs
Starting Price	Historically offered a free edition; paid tiers were not publicly priced	Public pages indicate customized packages and a free edition; pricing details vary	Pricing available by request; public pages do not list fixed tiers
Most appropriate for	Organizations seeking Wi‑Fi‑derived spatial insights using existing Wi‑Fi infrastructure	Analysts, real estate, and retail teams seeking broader location intelligence and benchmarks	Venues combining guest Wi‑Fi management with analytics and engagement workflows
Key advantages	Uses existing Wi‑Fi infrastructure; leverages on‑premise Wi‑Fi signals; early market entrant	Large external dataset and packaged insights; public free edition for evaluation	Integrated guest Wi‑Fi and analytics workflows; venue engagement features
Key limitations	Privacy and perception risks; uncertain standalone product continuity after acquisition; limited current public documentation	Pricing opacity; reliance on modeled/aggregated external data requires validation	Pricing opacity; may require significant platform configuration for some use cases

01Competitive Landscape

Narrative analysis

Where alternatives may provide clearer documentation or packaging

Placer.ai: broader public presence and packaged insights for commercial real estate and retail intelligence; offers a free edition for evaluation.
Aislelabs: explicit positioning around Wi‑Fi plus guest engagement workflows; may be a better fit when guest Wi‑Fi is central to marketing.
RetailNext (not in table): often positioned around sensor‑based store analytics and has a different operational and pricing profile.

Where Euclid’s historical positioning differed

Early presence in the physical analytics category
Compatibility with major Wi‑Fi vendors in historical messaging
Attempts to bridge offline visits and marketing attribution in specific product announcements

Market adoption trends (high‑level) The category has evolved from pure Wi‑Fi analytics toward:

Blended signals (camera, sensors, badges, BLE, Wi‑Fi)
Increased scrutiny of privacy and consent
More packaged BI and benchmarking instead of raw tracking

	Euclid Analytics	Placer.ai	Aislelabs
Starting Price	Historically offered a free edition; paid tiers were not publicly priced	Public pages indicate customized packages and a free edition; pricing details vary	Pricing available by request; public pages do not list fixed tiers
Most appropriate for	Organizations seeking Wi‑Fi‑derived spatial insights using existing Wi‑Fi infrastructure	Analysts, real estate, and retail teams seeking broader location intelligence and benchmarks	Venues combining guest Wi‑Fi management with analytics and engagement workflows
Key advantages	Uses existing Wi‑Fi infrastructure; leverages on‑premise Wi‑Fi signals; early market entrant	Large external dataset and packaged insights; public free edition for evaluation	Integrated guest Wi‑Fi and analytics workflows; venue engagement features
Key limitations	Privacy and perception risks; uncertain standalone product continuity after acquisition; limited current public documentation	Pricing opacity; reliance on modeled/aggregated external data requires validation	Pricing opacity; may require significant platform configuration for some use cases