Reliable, High-Quality Web Data Guaranteed

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Trusted by some of the leading enterprises across the world

High-quality web data at scale

The popular adage “Garbage In, Garbage Out” in computer science refers to the concept that erroneous data input produces erroneous output. Grepsr’s Data-as-a-Service offering is a fully managed data solution for high-quality web data at scale. Scaling quality equates to scaling our customers’ trust.

Keeping customers front and center

Right from the get go, our account managers liaise closely with our customer teams to ensure all the data requirements are thoroughly captured and handed over to our data team. Next, we apply an iterative three step approach to 1) instrument crawlers, 2) validate sample output, and 3) ramp up production. Keeping customers front and center allows us to vet results, add quality checks, and quickly pivot when business goals evolve.

Measure what matters

Over the years, we’ve developed a solid grasp of what factors influence quality. Our platform automatically measures quality metrics for each new dataset and compares them against expected values.

System reliability

Reliability and availability measures whether the system performs as intended. Operational dashboards to monitor system status

Extraction errors

Errors can occur when the source system does not respond successfully. Measure failure rates to detect anomalies.

Data completeness

Completeness measures data availability and density. Measure the latest result against historical averages.

Accuracy

Measures how accurately extracted data represents the source. Schema definition to validate output against acceptable formats.

500M+

Records processed per day

99%

Data reliability

60+

Dedicated specialist team size

10+

Years' experience

Humans in the loop

Depending on customers' needs and SLAs, we add a manual layer to your quality workflow, which includes:

Manual checks on randomized samples via an experienced QA team. Cadence and sampling requirements are set per customer specifications.
Custom reporting to keep an eye on specific metrics and ratios relevant to the use-case.