Dossier · Private startup · 1 independent source
Placer.ai
Last updated: Jul 31, 2026
Private location-intelligence company that turns privacy-preserving mobile-location and place data into market intelligence for organizations making decisions about the physical world. Its platform serves retail, commercial real estate, consumer brands, finance, advertising, entertainment, healthcare, and civic users.
Visit WebsiteCompany Overview
Placer.ai operates a data and software platform for measuring activity at physical locations. It receives location information from mobile-application partners after identifiers such as mobile advertising IDs are removed, then applies place-of-interest matching, aggregation, statistical extrapolation, and machine-learning models to estimate visits, dwell, trade areas, audience attributes, journeys, and market trends. The customer-facing product is an analytics workflow rather than a raw device-feed marketplace: dashboards, reports, APIs, exports, and newer AI-assisted analysis help users compare properties, chains, regions, and demographic or behavioral segments. Placer says its outputs are aggregated, do not display user-level data, and use a minimum threshold of 50 devices for presented location information.
The commercial buyer is any organization with exposure to offline demand. Retailers and restaurants use visitation, loyalty, competitive-catchment, and site-selection analysis; commercial real-estate owners, brokers, lenders, and investors use property benchmarking and tenant or market research; CPG, advertising, finance, entertainment, healthcare, higher education, and municipal teams use the same underlying measurements for planning and performance decisions. This breadth is a meaningful commercialization asset because one data foundation supports multiple products, but it also makes data quality, sampling bias, geographic coverage, and reproducibility central diligence questions. The company reports more than 4,000 customers and $100 million in annual recurring revenue in 2024, which are company-reported traction signals rather than independently audited financial results.
Competition comes from specialist location-analytics providers, mobility-data vendors, geospatial and mapping platforms, foot-traffic measurement products, and customers' own first-party transaction or loyalty data. Placer's defensibility is therefore more likely to come from accumulated place normalization, historical time series, model calibration, workflow integration, brand coverage, and customer trust than from an exclusive algorithm. Its API and data marketplace can make the platform useful as an enrichment layer, while pre-built reports reduce the technical burden for commercial teams. The tradeoff is dependence on third-party supply, mobile operating-system permissions, privacy law, partner compliance, and the continuing cost of validating estimates against ground truth.
Placer.ai is an independent private company with substantial late-stage scale signals. Its official history describes a platform launch in 2018 and $100 million in ARR in 2024; public reporting also describes a $75 million 2024 financing at an approximately $1.45 billion valuation, after the earlier Series C. Current public materials describe thousands of customers, daily data freshness, a panel of tens of millions of devices, and an ISO/IEC 27001:2022-certified information-security management system. These claims warrant normal diligence on definitions, cohort retention, gross margins, source concentration, and certification scope. The company is not a defense contractor and does not present its core product as a targeting or intelligence system. Its security relevance is limited but real: aggregated visitation and infrastructure-usage trends could support lawful open-source situational awareness, emergency planning, logistics analysis, or resilience assessments. K-anonymity, obfuscation, licensing restrictions, and the lack of individual-level identity make it unsuitable to characterize as turnkey operational intelligence or a direct targeting capability.
Dual-Use Assessment
Placer.ai has substantive but bounded dual-use potential. Its aggregated location analytics can support lawful open-source situational awareness, infrastructure and facility utilization studies, disaster or event planning, transportation analysis, and logistics or resilience assessments. The same outputs are commercially useful for retail and real estate, but they are not individual tracking, precision geolocation, or a defense-specific command-and-control product. The company describes identifier removal, aggregation, obfuscation, and a 50-device minimum threshold; any security use would still require review of source consent, geographic resolution, retention, licensing, model error, and applicable privacy and procurement rules.
Strategic Fit Assessment
Placer.ai shows strong commercial traction signals: a broad enterprise use-case base, reported 4,000-plus customers, reported $100 million ARR in 2024, a large data panel, and late-stage private financing. Those facts support diligence interest in a data-infrastructure and vertical SaaS context, but strategically relevant is kept false as a site-level dual-use priority flag because the company is mature, its core product is commercial rather than defense-oriented, and the security adjacency is indirect. A serious diligence process should test recurring-revenue quality, net retention, customer concentration, unit economics, sampling accuracy, source contracts, privacy compliance, and the durability of the 2024 growth claims. This is not an investment recommendation.
Strategic Value to U.S.-Israel Alliance
Placer.ai could provide allied public-sector or critical-infrastructure teams with a standardized layer for coarse physical-world activity, especially for economic monitoring, transportation planning, emergency preparedness, and non-attributional facility or corridor utilization studies. Its value is strongest when combined with other lawful sources and used to estimate trends rather than identify people or direct operations. The strategic case is constrained by commercial licensing, coverage gaps, statistical uncertainty, privacy obligations, and the company's stated aggregation controls. It should be treated as a potentially useful analytics input, not as a substitute for authoritative sensor, classified, or mission-specific intelligence systems.
Key Technologies
- Privacy-preserving ingestion of mobile-app location signals
- Point-of-interest matching, geocoding, and place normalization
- K-anonymous aggregation and spatial obfuscation
- Statistical extrapolation from representative device panels
- Machine-learning models for visits, dwell, trade areas, and audience behavior
- Time-series benchmarking, APIs, data exports, and AI-assisted analytics
Use Cases & Applications
- Retail and restaurant site selection, cannibalization, and store-performance measurement
- Commercial real-estate underwriting, tenant strategy, and property benchmarking
- CPG, advertising, and media audience planning with offline visitation measurement
- Finance and investment research on local demand, migration, and market activity
- Municipal economic-development, transportation, and event-impact analysis
- Healthcare, higher-education, hospitality, and entertainment market planning
- Aggregated facility-utilization and logistics trend analysis for resilience planning
- Lawful OSINT and emergency-planning support where coarse, non-personal trends are sufficient
Sources and verification
This profile is based on public-source research, Claw & Talon curation, and editorial judgment. Inclusion does not imply endorsement, partnership, investment, or a recommendation to transact. Readers should still confirm current status, customers, funding, and product claims before relying on this profile. The editorial policy explains how profiles are researched, where automated drafting is used, and how corrections work; the research methodology documents how evidence is graded, what counts as an independent source, and why some profiles are excluded from search indexing.
This record lists 7 public references used for company identity, status, positioning, or material-claim review.
Public sources
The links below are visible public references used for source discipline around company identity, status, funding, customer, acquisition, public-company, or other material claims where available.
- Placer.ai official about page Official company history, founders, platform launch timing, reported 4,000-plus customer count, and reported $100 million ARR in 2024.
- Placer.ai official homepage Canonical company website and current product, industry, API, data, and market-intelligence positioning.
- Placer.ai official data page Official description of identifier stripping, aggregated outputs, minimum 50-device display threshold, customer categories, and security certifications.
- Placer.ai official privacy FAQ Official explanation of mobile-app partner sourcing, consent responsibilities, aggregation, obfuscation, and limits on identifying individuals.
- Placer.ai official trust center Official privacy-by-design description, K-anonymity of 50, security controls, and ISO/IEC 27001:2022 statement.
- Placer.ai LinkedIn company profile Current public company profile listing private status, Santa Cruz headquarters, 2018 founding, and 501-1,000 employee range.
- TechCrunch financing report Independent reporting on the closed $75 million 2024 financing and approximately $1.45 billion valuation; financing classification should be confirmed in diligence.
- Profile update timestamp Last updated in the Claw & Talon database on Jul 31, 2026.
Related sector
See the AI & Data Platforms sector page for market context, related subcategories, and other Israeli companies in this part of the database.