GroveAI
Data Integration

Data Integration & Pipelines

Connect your data sources into unified, AI-ready pipelines. Get the right data to the right model at the right time.

AI systems need data from across your organisation — CRMs, ERPs, databases, APIs, spreadsheets, and third-party services. The challenge is not just connecting these sources, but doing it reliably, securely, and in a format that AI models can actually use. We build data integration pipelines that pull from your existing systems, transform data into consistent formats, and deliver it to your AI applications in real time or on schedule. Whether you need a vector database kept in sync with your knowledge base, a feature store fed by multiple upstream systems, or a simple pipeline that pushes CRM data into an AI workflow, we handle the plumbing. Our pipelines are built for production: they handle failures gracefully, alert on anomalies, maintain data lineage, and scale as your data volumes grow. No brittle scripts, no manual CSV exports.

Use Cases

What this looks like in practice

Real-Time Data Sync

Keep AI systems fed with fresh data from your operational databases, CRM, and business applications using change data capture and streaming pipelines.

Vector Database Ingestion

Continuously index documents, knowledge base articles, and product data into vector databases for RAG-powered AI applications.

Cross-System Data Unification

Merge customer, product, and operational data from multiple siloed systems into a single, consistent view for AI consumption.

API Integration Layer

Build a unified API layer that abstracts your underlying data sources, making it simple for AI agents and workflows to access any data they need.

Event-Driven Pipelines

Trigger AI workflows automatically when new data arrives — a new support ticket, a document upload, a form submission — with no manual intervention.

Technology

Tools we work with

Apache KafkaApache AirflowdbtFivetranPythonTypeScriptPostgreSQLBigQuerySnowflakeRedisREST APIsGraphQLAWSDocker

How It Works

Our approach

01

Source Mapping

Catalogue all data sources, schemas, volumes, and update frequencies

02

Pipeline Architecture

Design the integration topology — batch vs streaming, transformation logic, error handling

03

Build & Connect

Implement connectors, transformations, and delivery to target systems

04

Testing & Reliability

Test with production-scale data, add monitoring, alerting, and failure recovery

05

Deploy & Document

Deploy pipelines to production with full documentation and runbooks for your team

Starting from

£12K

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.