Data Services built for accuracy
Collection, cleaning, annotation, and analytics operations — AI-ready data pipelines run by a managed team in India, with quality you can audit.
Discuss Your Data Project →The unglamorous work that makes AI and analytics possible
Every dashboard, model, and report is only as good as the data underneath it. Yet data preparation — collecting it, cleaning it, labelling it, keeping it current — is exactly the work most teams cannot spare people for. We run that layer for you: a managed, accountable team handling the meticulous work, at the cost advantage that operating from India makes possible.
What we deliver
- Data collection & web research — structured gathering of company, product, market, or contact data from public sources
- Data cleaning & entry — deduplication, standardisation, enrichment, and migration between systems
- Annotation & labelling — text and image labelling to documented guidelines, suitable for AI training data
- Catalogue operations — product data preparation for e-commerce: attributes, descriptions, categorisation
- Recurring analytics ops — weekly or monthly reporting cycles maintained reliably over time
Quality you can verify
Accuracy claims are cheap, so we make ours measurable. Before a project starts we agree the quality rules and the acceptable error rate. During the work, output is double-checked — sampled for routine tasks, fully reviewed for critical ones — and we report the measured error rate alongside every delivery. If a batch misses the threshold, we redo it at our cost.
Frequently asked questions
What kinds of data work do you take on?
Web research and data collection, data entry and cleaning, catalogue and product data preparation, document digitisation, annotation and labelling for AI training, and recurring analytics or reporting operations.
How do you guarantee accuracy?
Every project runs with defined quality rules, double-checking on a sample or full basis depending on criticality, and error-rate reporting you can audit. We agree the accuracy threshold before work begins and measure against it throughout.
Can you handle ongoing, high-volume work?
Yes. Recurring pipelines are our preferred model — weekly or monthly cycles with stable throughput, consistent reviewers, and turnaround commitments, scaling the team as your volume grows.