Arpalus is a technology company.
Arpalus has raised $550K across 1 funding round.
Arpalus has raised $550K in total across 1 funding round.
Arpalus is an Israeli retail technology startup founded in 2019 that builds a smartphone app leveraging computer vision and augmented reality (AR) to enable real-time shelf data collection, analysis, and insights for consumer packaged goods (CPG) companies and retailers. The app allows employees to scan physical shelves, instantly recognize products, detect out-of-stock (OOS) issues, measure share of shelf, planogram compliance, and optimize stock from shelf to warehouse, serving the retail and CPG sectors to solve chronic problems like poor on-shelf availability and inefficient in-store operations.[1][2][3][4] It delivers 98% accuracy, requires up to one week onboarding per category, works offline, and has driven 50%-90% efficiency gains while boosting sales for users including Fortune 500 companies in the USA, Europe, and Israel.[2][3]
Arpalus was founded in 2019 in Caesarea, Israel, by Ofir (full name not specified in sources) and a team motivated by the retail industry's century-old "shelf inventory challenge"—persistent issues with out-of-stock products and poor visibility into physical shelves.[1][3] The founders, drawing on expertise in AI and computer vision, developed an innovative smartphone app as a simple solution to empower retail employees and CPG teams with real-time data, bypassing dependency on manual audits or retailer reports.[2][3] Early traction came swiftly through pilots with leading retailers and CPGs, securing $5 million in funding from investors like the Israeli Innovation Authority, Nielsen, Duo Partners, True Global, and angels, which fueled expansion and validation of its 95%+ accuracy in real-world deployments.[3]
Arpalus rides the wave of AI-driven retail execution and computer vision adoption, addressing a $100B+ global market pain point where 8-10% chronic OOS costs retailers billions annually, amplified by e-commerce competition and labor shortages.[3] Timing is ideal amid post-pandemic supply chain disruptions and edge AI proliferation, with smartphone ubiquity enabling scalable deployment over hardware-heavy rivals.[1][2] Market forces like rising CPG demand for independent analytics and retailers' push for planogram compliance favor Arpalus, positioning it to influence the ecosystem by standardizing real-time shelf intelligence—much like Trax pioneered image recognition but with AR's edge for frontline workers.[1][3]
Arpalus is poised for accelerated growth through international expansion, deeper Fortune 500 integrations, and AR hardware evolution (e.g., smart glasses), potentially capturing more of the retail AI market as 5G/edge computing matures. Trends like synthetic data for training (à la Neurolabs) and predictive analytics will shape its trajectory, evolving its influence from tactical shelf tools to full-store optimization platforms. This builds on its core strength—democratizing high-accuracy insights—heralding a new vision for efficient, profitable retail.[1][2][3]
Arpalus has raised $550K in total across 1 funding round.
Arpalus's investors include Nielsen Innovate, State of Mind Ventures.
Arpalus has raised $550K across 1 funding round. Most recently, it raised $550K Seed in June 2019.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2019 | $550K Seed | Nielsen Innovate, State of Mind Ventures |