KVETOiQ Verified Company

KVETOiQ helps organizations convert changing online information into dependable data they can use for research, operations, pricing, product strategy, artificial intelligence, and competitive decision-making.

Founded in August 2021, our company works with enterprises, ecommerce brands, retailers, SaaS businesses, AI teams, agencies, researchers, investors, and data-driven organizations worldwide. We currently place a strong commercial focus on the United States while supporting clients and data requirements across global markets.

Our core capabilities include managed web scraping, enterprise web crawling, custom data extraction, web scraping APIs, live crawlers, mobile app scraping, AI-assisted extraction, and AI training datasets. We also develop specialized data pipelines for price monitoring, product matching, digital shelf analysis, brand protection, MAP monitoring, share of search, marketplace intelligence, and competitor research.

Every engagement begins with the business decision the data needs to support. We then define the required websites or apps, fields, geographic markets, collection frequency, validation rules, delivery format, and operating requirements. This allows us to build a solution around the client’s workflow instead of forcing the client into a generic extraction package.

Our data engineering process can include automated quality checks, field validation, duplicate detection, exception monitoring, normalization, and human review when edge cases require additional judgment. Depending on the project, structured data can be delivered through CSV, Excel, JSON, APIs, webhooks, cloud storage, dashboards, or data warehouses.

KVETOiQ is committed to responsible collection practices, transparent communication, reliable delivery, and long-term technical support. We focus on publicly available and authorized data sources, and we design each pipeline to remain useful as source websites, schemas, volumes, and business requirements evolve.

Our goal is not simply to collect more data. It is to deliver accurate, structured information that helps clients monitor markets, reduce manual work, identify changes earlier, train data-driven systems, and make better business decisions.