Outsourced Data Collection Services | Accurate, Scalable and AI-Ready

In-house data collection requires ongoing investment in tools, proxy infrastructure, developer time, and quality assurance. As data volume and source complexity grow, that overhead compounds. Outsourcing gives you access to specialist teams, proven infrastructure, and managed QA without fixed headcount. Businesses typically save 40 to 60% versus in-house operations while getting faster delivery and more consistent accuracy.

AI and ML teams use it for training datasets. eCommerce companies use it for competitor price monitoring and product data. Real estate firms use it for listing and property record collection. B2B sales teams use it for lead list building. Finance and data providers use it for market pricing feeds. Healthcare organisations use it for provider databases and regulatory intelligence. Travel and hospitality companies use it for rate monitoring and review aggregation.

Yes. Computyne delivers AI training data collection services including text, image, audio, and video data collection, along with labelled datasets, benchmark datasets, and structured tabular data for model training and evaluation. This service connects directly to our data annotation capabilities for end-to-end AI data pipeline support.

We collect product catalogues, competitor pricing, property listings and records, B2B contact data, company intelligence, customer reviews, financial market data, physician and healthcare provider databases, job listings, news and media data, government and regulatory data, and document-based data from PDFs and scanned sources. If it exists online or in a structured source, we can collect it.

Most data collection projects achieve accuracy above 99%, supported by multi-stage validation processes that include format checking, deduplication, cross-source verification, and manual QA review. Accuracy benchmarks are agreed before each project and reported in every delivery.

Pricing depends on data volume, source complexity, refresh frequency, validation requirements, and delivery format. One-off projects are quoted based on scope. Recurring feeds start from $500/month depending on volume and frequency. We offer a free pilot of up to 500 records so you can validate quality before committing to a full engagement.

Data can be delivered in CSV, Excel, JSON, XML, Google Sheets, via REST API, or through direct database upload into your system. We match the delivery format and structure to your existing data infrastructure so no transformation is required on your end.

Yes. Real-time data feeds, scheduled daily or weekly extraction, and event-triggered collection are all supported. This is commonly used for competitor price monitoring, property listing feeds, inventory tracking, and news aggregation where data currency directly affects business decisions.

Yes. All collection projects follow ISO 27001 information security protocols including encryption, access controls, and signed NDAs. For UK and EU clients, we apply GDPR-aware data handling practices throughout the collection, processing, and delivery workflow. We do not collect data from sources that prohibit it, and we maintain documented compliance procedures for each engagement.

For straightforward web scraping and extraction projects, collection can begin within 2 to 4 business days of project brief confirmation. More complex builds involving authentication, dynamic sources, or custom delivery pipelines typically take 5 to 7 business days to go live.

Yes. Every dataset is built around your specific requirements: the sources you need, the fields you want, the format your systems expect, and the frequency that keeps your data current. We do not sell off-the-shelf data. Every project is scoped and delivered to your specification.