GroveAI
Data Prep

Data Preparation & Engineering

Get your data AI-ready. Clean, structured, labelled data is the foundation of every successful AI project.

AI is only as good as the data it runs on. Most organisations have the data they need, but it is scattered across systems, inconsistently formatted, poorly labelled, or missing critical fields. We fix that. Our data preparation service covers the full pipeline: auditing your existing data sources, cleaning and normalising records, handling missing values and duplicates, creating labelling workflows, and building transformation pipelines that keep your data fresh and consistent. Whether you are preparing training data for a custom model, building a knowledge base for RAG, or structuring data for analytics dashboards, we ensure your data is accurate, complete, and in the right format. We also build automated pipelines so this is not a one-off exercise — your data stays clean and current as new records flow in.

Use Cases

What this looks like in practice

Training Data Preparation

Curate, clean, and label datasets for fine-tuning or training custom AI models. Handle annotation workflows, quality control, and dataset versioning.

Knowledge Base Construction

Structure your internal documents, wikis, and data into a clean knowledge base optimised for retrieval-augmented generation (RAG) systems.

Data Cleaning & Deduplication

Identify and resolve duplicates, inconsistencies, missing values, and formatting issues across your databases and data warehouses.

ETL Pipeline Development

Build automated extract-transform-load pipelines that continuously prepare incoming data for AI consumption without manual intervention.

Data Labelling & Annotation

Set up labelling workflows for text, images, or structured data. Combine human annotators with AI-assisted labelling for speed and accuracy.

Technology

Tools we work with

PythonPandasApache SparkdbtAirflowPostgreSQLBigQuerySnowflakeAWS S3Label StudioGreat ExpectationsSQL

How It Works

Our approach

01

Data Audit

Assess your current data sources, quality, completeness, and fitness for your AI use case

02

Cleaning & Normalisation

Fix inconsistencies, handle missing values, deduplicate, and standardise formats

03

Transformation & Enrichment

Transform data into the right structure and enrich with derived features or external sources

04

Pipeline Automation

Build automated pipelines so data preparation runs continuously, not just once

05

Validation & Handoff

Validate data quality with automated checks and hand off to your AI development workflow

Starting from

£10K

Timeline

2-4 weeks

Ready to get started?

Book a free strategy call and we'll assess whether this service is the right fit for your business.