AI-powered real-time bidding platform for e-commerce in-app advertising
AppIQ operates a real-time bidding and audience-targeting platform designed to help e-commerce brands buy in-app placements profitably. The tech stack—AWS, Cloudflare, Kinesis, MongoDB, plus a comprehensive testing suite (Playwright, Cypress, Appium, TestRail, Xray)—reflects an infrastructure-heavy, QA-focused engineering culture. All five active hires are senior engineers spread across Mexico, Brazil, Poland, Colombia, and Romania, and the project list centers on QA architecture and automated test suite scaling, suggesting they're prioritizing reliability and speed-to-market as they grow.
AppIQ brings in-app placements to e-commerce through AI-powered media buying and real-time bidding optimization. The platform targets e-commerce brands seeking profitable customer acquisition via in-app channels, using data-driven audience targeting and bidding algorithms to maximize revenue at scale. Founded in 2025 and based in Sheridan, Wyoming, the company employs 11–50 people with an engineering-led structure. Current focus areas include QA architecture, automated test suite design, and infrastructure testing across AWS and Cloudflare.
AWS, Cloudflare, Kinesis Data Firehose, MongoDB, TypeScript, React, Node.js, Python, and PySpark for core infrastructure and data processing. Testing stack includes Playwright, Cypress, Appium, TestRail, Xray, and qTest.
QA architecture and strategy, automated test suite design, and infrastructure testing for AWS and Cloudflare environments.
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AppIQ Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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