Our competitive approach to pricing is driven by a growth mindset with a focus on developing long-term relationships.
Programmatic: Our approach starts with unit pricing for data evaluation tasks or assignments and ends with setting performance objectives to ensure standards are met and exceeded. Our expertise in pricing for local markets means we can design scalable solutions with a high degree of price competitiveness.
On-demand: Suitable for engagements where there is less visibility on forecasts or volumes. Ideal for short term requirements with variable demand for data science and quality control resources.
Packaged: Suitable for shorter projects of fixed duration or where packaged datasets are a key deliverable. Ideal for improving models with predictable data refresh requirements or cycles.
As a customer, you will see every detail as transparent, every expectation coded into performance metrics (e.g. productivity, quality, timeliness, innovation, reliability) and every outcome framed as a service level objective; all designed to deliver a competitive return on your investment.
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