Data processing services,
automated where it pays.
We turn documents, spreadsheets and messy exports into clean, structured data your systems can use — automated where it saves time, checked by people where accuracy matters.
- Invoices, forms and PDFs turned into structured data
- Cleansing, de-duplication and enrichment
- CRM and database migration with validation
- GDPR-ready: DPA, NDA and access controls
- Fixed price, agreed in writing
- You own the code and IP
- Three months of support after launch
- NDA and GDPR-ready data handling
Data processing services, scoped in writing.
Document data extraction
Invoices, purchase orders, forms and contracts turned into structured fields with OCR and AI.
Data cleansing
Duplicates merged, formats standardised and missing values flagged.
Data migration
Records moved between CRMs, ERPs and databases with mapping and validation.
Pipelines and ETL
Scheduled jobs that pull, transform and load data between your systems.
Reporting datasets
Clean, joined data ready for dashboards in HubSpot, Looker Studio or Power BI.
Secure handling
Data processing agreements, least-privilege access and deletion on completion.
What clients ask us for.
The projects we’re asked for most often. If yours isn’t listed, tell us anyway.
Invoice and receipt processingMost requested
Supplier invoices read, checked against purchase orders and pushed to your accounting system.
CRM data clean-upMost requested
Duplicates, broken properties and inconsistent records fixed before or after a migration.
Spreadsheet to database migration
Years of spreadsheets consolidated into a proper database or CRM with validation rules.
Email and form intake automation
Enquiries, orders and attachments parsed from inboxes and forms into your systems.
Product catalogue processing
Supplier feeds normalised and enriched for Shopify, WooCommerce or your PIM.
Reporting data pipelines
Data from several tools joined into one reliable source for reporting.
How our data processing works: four steps, no guesswork.
- 1
Pilot
We process a sample of your real data and measure accuracy.
- 2
Design
Fields, rules, exceptions and security agreed in writing.
- 3
Automate
Pipelines built, tested on historical data, then run live.
- 4
Monitor
Accuracy reports, exception queues and ongoing improvement.
Three ways to work with us.
Each option is scoped and priced in writing before work begins. Start small and move up when it makes sense.
-
Start
Pilot
One-off · 1–2 weeks
Best when you want a clear plan and cost before committing.
- Sample of your real data processed
- Accuracy and time-saved report
- Recommended approach
- Fixed quote for full rollout
-
Build
Automation build
Per project · 4–10 weeks
Best for a defined build, delivered for a price agreed in writing.
- Extraction or migration pipeline
- Validation and exception rules
- Integration with your systems
- Documentation and handover
- Three months of hypercare
-
Grow
Managed processing
Monthly · volume based
Best for keeping things improving after launch, month by month.
- Ongoing processing of your data
- Human review of exceptions
- Monthly accuracy reporting
- Agreed turnaround times
Tools and platforms we work with.
We choose tools to fit your project. These are the ones we use most.
Extraction
- OCR
- AI document models
- Python
Pipelines
- Make
- n8n
- Zapier
- SQL
Destinations
- HubSpot
- Salesforce
- Zoho
- Google Sheets
- BigQuery
- Accounting software
Structured and unstructured data: PDFs, scanned documents, invoices, forms, emails, spreadsheets, CSV exports, and data from CRMs, ERPs and e-commerce platforms.
It depends on the documents, which is why we start with a pilot on your real data and report measured accuracy before you commit. Anything the system is unsure about is routed to a person for review.
We sign a data processing agreement and an NDA before receiving data, limit access to named team members, use encrypted transfer and storage, and delete your data when the work is complete unless you ask us to keep it.
Yes. We act as a data processor under a written agreement covering GDPR and UK GDPR requirements, including Standard Contractual Clauses for transfers outside the UK and EU. You can review our data processing agreement before we start.
Yes, where it makes sense. For one-off or low-volume work, manual processing with quality checks can cost less than automation. We recommend whichever costs you less over a year.
Yes. We deliver data straight into HubSpot, Salesforce, Zoho, Shopify, accounting software, databases or Google Sheets through their APIs.
Automation builds are priced per project. Ongoing processing is priced by volume and turnaround time, agreed in writing before work starts.
Tell us about your data problem.
We reply within one business day with a first view on scope, platform and cost.
We reply within one business day.