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Data quality and access are the biggest blockers for AI. See where your data stands.
Your answers stay in your browser — nothing is sent to our servers.
Our data is stored in consistent, documented formats. (weight 1)
We can access the data we need without manual exports. (weight 1.5)
We have clear ownership and governance for key datasets. (weight 1)
We can reliably join data across systems. (weight 1.5)
We track data quality issues and have remediation processes. (weight 1.5)
We have historical data available for training and benchmarking. (weight 1)
We understand and can enforce privacy, consent, and retention rules. (weight 1)
AI and automation are only as good as the data underneath them. Inconsistent formats, manual exports and unclear ownership turn promising projects into expensive data-cleaning exercises. This scorecard shows whether your data is ready to support advanced use cases or still needs foundational work.
The tool gives you a quick read. Our team turns that read into a deliverable plan and working system.
We assess your data sources, pipelines, quality controls and governance, then produce a prioritised improvement backlog.
We build or fix pipelines, standardise schemas and establish monitoring so data is reliable and ready for use.
We prepare labelled datasets, validation sets and feedback loops for machine-learning or LLM projects.
Share your results with us and we'll turn them into a clear next-step plan — usually within 48 hours.