LocateAI
Techstars '14Plug and Play VenturesSan Francisco, US · Founded 2014 · Delaware corporation · 49 employees on LinkedIn · 7 known investors
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Locate.ai helps brands identify and secure optimal retail or commercial real estate locations using artificial intelligence and real estate advisory services. The platform serves retailers and enterprises seeking data-driven location intelligence.
Also known as Locate · Locate.ai · LocateAI
Founders & leadership
LocateAI was founded in 2014 by Stephen Quinonez.


Board
Investors · 7
How we know: Matchstick Ventures's portfolio page · Not right? Tell us
How we know: the VCSheet dataset · Not right? Tell us
How we know: Red Dog Capital's portfolio page · Not right? Tell us
How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
How we know: open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
Reported raises · per SEC filings
Form D private placements$17.7M disclosed across 4 rounds · 2017–2025
▶$9.2MraisedJul 2025 · 27 investors · Other TechnologyRule 506(b)
- JOSEPH LEEExecutive Officer, Director, Promoter
- ANDREW SACKDirector
- PETER HUExecutive Officer, Director
- Offering amount
- $9.2M
- Amount sold
- $9.2M
- First sale
- Jun 2025
- Incorporated
- Corporation, Delaware
- Federal exemptions
- 06b
▶$4.1MraisedDec 2019 · 15 investors · Other TechnologyRule 506(b)
- JOSEPH LEEExecutive Officer, Director, Promoter
- ANDREW SACKDirector
- PETER HUExecutive Officer, Director
- Offering amount
- $5M
- Amount sold
- $4.1M
- First sale
- Nov 2019
- Incorporated
- Corporation, Delaware, 2014
- Federal exemptions
- 06b
▶$4.2MraisedMay 2018 · 23 investors · Other TechnologyRule 506(b)
- JOSEPH LEEExecutive Officer, Director
- PETER HUExecutive Officer, Director
- ANDREW SACKDirector
- Offering amount
- $5.5M
- Amount sold
- $4.2M
- First sale
- Apr 2018
- Incorporated
- Corporation, Delaware, 2014
- Federal exemptions
- 06b
▶$300KraisedMay 2017 · 4 investors · Other TechnologyRule 506(b)
- ANDREW SACKDirector
- PETER HUExecutive Officer, Director
- JOSEPH LEEExecutive Officer, Director
- Offering amount
- $1M
- Amount sold
- $300K
- First sale
- Apr 2017
- Incorporated
- Corporation, Delaware, 2014
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Sep 2026Locate (LocateAI, locate.ai) is a San Francisco-based retail real estate company that combines artificial intelligence site-selection models with full-service brokerage and advisory for multi-unit and franchise brands. The company applies geospatial data and machine learning to help retailers, landlords and brokers make data-driven leasing and expansion decisions, with the stated aim of modernizing retail brokerage in the real estate industry.
The service spans the expansion lifecycle: profiling a brand's existing stores against the company's data lake to identify performance drivers and risk factors, ranking U.S. markets by how many locations they can support and projected revenue, sourcing and scoring candidate sites, forecasting year-one revenue using analog stores, and negotiating leases through to execution. Outputs include site scores, revenue potential estimates, cannibalization risk, customer density, rent benchmarks, and pipeline tracking across tour, LOI, negotiation and signed stages.
The company also publishes research and educational content on retail site selection topics such as trade area analysis, whitespace and void analysis, point-of-interest and mobile location data, new-store sales forecasting, lease strategy at scale and cap rates, alongside customer case studies with multi-unit operators and franchisors.
Founding story
The company was founded in 2014 with the stated mission of using geospatial data and machine learning to modernize the roughly $4 trillion real estate industry, and it went through the Techstars Seattle accelerator in 2014.
Business model
Locate operates as a licensed retail real estate brokerage combined with a proprietary analytics platform, offering portfolio analysis, go-to-market/market roadmap planning, site sourcing, site analysis and lease execution as a single service. Rather than selling either brokerage relationships or standalone software dashboards, the company delivers model-driven analysis and the transactional advisory work through the same team, positioning itself as a tech-enabled brokerage.
Revenue is associated with brokerage and advisory services for site sourcing and lease execution together with platform-based analytics; the business is classified as combining recurring software and transactional revenue serving enterprise and small-business customers.
Traction
The company states that 200+ multi-unit brands use its services and that Locate-selected locations average roughly 15% higher sales versus market; in 2023 it reported having implemented mobile-data-driven site selection for more than 100 retail brands. Named customers referenced in its published case studies and testimonials include 810 Billiards & Bowling, Zoup! Eatery, Wingers, Fit Body Bootcamp and CBD Kratom. It reported 34 employees as of February 2024 and total funding of $8.3M as of November 2019.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Locate competes in retail location intelligence and site selection alongside companies such as Placer.ai, SafeGraph, SiteZeus, IdealSpot, PiinPoint, Pathr.ai, Localize and other property-analytics vendors, differentiating by pairing analytics with brokerage execution. It reports serving 200+ multi-unit brands and a reported 15% sales increase for leasing clients.
Locate positions itself as the only brokerage that owns both proprietary AI site-selection models and full-service brokerage execution in one team, contrasting itself with traditional brokers that sell relationships and software vendors that sell dashboards. Its models are described as weighing 1,100+ variables per site and being calibrated to each brand's own performance data, and it describes itself as the first tech-enabled brokerage in the retail real estate industry.
Technology
Proprietary machine learning and geospatial models trained on a data lake of retail performance and location data, analyzing 1,100+ variables per site including foot traffic density, psychographic match, competitor saturation, co-tenancy affinity, daytime population, median household income alignment, drive-time accessibility, trade area overlap, retail gravity and category spending. The models produce site scores, year-one revenue forecasts using analog stores, cannibalization estimates and market-level rankings, and incorporate mobile location and point-of-interest data.
Go-to-market
The company sells directly to multi-unit and franchise brands through its brokerage and advisory team, supported by client success analysts, directors of real estate and data scientists. Demand generation includes SEO-oriented educational content and industry guides, customer spotlight case studies, and presence at retail real estate industry events such as the ICSC conference.
Multi-unit and franchise retail and restaurant brands expanding their physical footprint, from emerging concepts opening their next few locations to established national brands managing an expansion pipeline, as well as landlords and brokers.
Geography
Headquartered in San Francisco, California, with coverage of U.S. retail markets; its market roadmap ranks every U.S. market, and site pipeline examples center on Texas, California and other domestic metros.
History
The company was founded in 2014 in San Francisco and took part in the Techstars Seattle accelerator in 2014. It raised venture funding through a Series A stage, with a round reported in November 2019. By 2021-2022 it was publishing customer case studies with multi-unit brands including Zoup! Eatery, Wingers, Fit Body Bootcamp and CBD Kratom, exhibiting at the ICSC conference in Las Vegas in May 2022, and adding real estate leadership such as a Director of Real Estate in October 2021. By 2023 it reported implementing mobile-data-driven site selection for more than 100 retail brands, and by 2026 its site described 200+ multi-unit brands using its services.
Compiled by commissioned research from 4 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Related companies · 4
Companies working in the same space as LocateAI.
Timeline · 3
launches, deals, and filingsLocate presented its tech-enabled retail real estate brokerage, AI models and data science team at the ICSC Conference, May 22-24, 2022, in Las Vegas.
Locate announced the addition of Julie Harris as Director of Real Estate.
LocateAI was part of the Techstars Seattle 2014 accelerator cohort.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structure▸Research sources · 4
primary sources listed
- LocateAIlocate.ai · web
4 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does LocateAI do?
- AI-integrated retail real estate brokerage that helps multi-unit brands pick markets, score sites and negotiate leases.
- Who founded LocateAI?
- LocateAI was founded by Stephen Quinonez in 2014.
- Who are LocateAI's investors?
- LocateAI's investors include Matchstick Ventures, MetaProp, MetaProp Ventures, Pear VC, Red Dog Capital, Techstars, Plug and Play Ventures.
- How much funding has LocateAI raised?
- LocateAI has disclosed $17.7M raised across 4 rounds.
- Where is LocateAI headquartered?
- LocateAI is headquartered in San Francisco, US.



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