Dhiyo Labs · Service 07 of 08
Data readiness
AI is only as good as the data it learns from. We assess, clean, organise and label your data, so models can be trained reliably and your teams can trust the results.
Data readiness
What we do
- 01
Data audit
What data you have, where it lives, how complete it is and what is missing.
- 02
Cleaning and standardising
Duplicates, errors and inconsistent formats fixed with repeatable scripts.
- 03
Labelling and annotation
Images, text and audio labelled to clear guidelines, with quality checks.
- 04
Data pipelines
Automated flows that keep training and reporting data fresh.
- 05
Privacy and anonymisation
Personal data removed or masked before it is used for AI.
- 06
Data documentation
Clear records of sources, meanings and limits, so future work starts faster.
Who it is for and what you receive
Ideal for
- Organisations starting with AI
- Teams with data spread across systems
- Projects that need labelled images or text
- Regulated sectors
What you receive
- Data readiness report
- Cleaned and documented datasets
- Labelled training data
- Pipelines and data dictionary
Technologies and standards
- Python
- pandas
- SQL
- dbt
- Airflow
- Label Studio
- CVAT
- Great Expectations
- PostgreSQL
- Parquet
Works well with
One team across pillars
Dhiyo Digital turns clean data into reliable dashboards and reports.
-
BI and data analytics
Data pipelines, warehouses and dashboards that give leadership one trusted view of the business.
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Enterprise applications
ERP extensions, workflow and approval systems, portals and internal tools that replace spreadsheets and manual steps.
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A good way to start
AI Readiness Review
Your data, systems and ideas reviewed, with a ranked list of use cases worth testing.