Services / Data integration

Data integration

Scattered company data,
ready for AI and reports

ERP or 1C, Excel files, mailboxes, SharePoint folders and scanned PDFs: we bring them into one clean data model and connect it to AI assistants, search and dashboards.

Raccoon engineer connecting cables from spreadsheet, email, folder, scan and database icons into one hub
Sources

Where the data usually lives

Each source gets its own connector, schedule and run log, so one broken export does not stop the rest.

ERP and 1C

Orders, stock, counterparties and accounting through an API, a database replica or scheduled exports, depending on what the system allows.

Excel and CSV

Spreadsheets with changing columns and manual notes are mapped to one structure, with rows that do not fit sent to a review list.

Email

Attachments and messages from shared mailboxes are sorted by sender and type and linked to the right customer, supplier or order.

SharePoint and file shares

Folders of contracts, specifications and reports are indexed with permissions respected, so people only find what they may see.

Scanned PDFs and paper

OCR, table extraction and field checks turn scans into data, with low-confidence fields marked for a person.

Clean model and AI access

Deduplicated records in one database, full-text and semantic search, an API, and AI assistants that answer with links to the source.

Cost

Estimate after a source inventory

The work depends on the number of sources and how messy they are. We start with a list of systems and sample files and give a fixed estimate per source.

List your sources
Quality and control

Data you can trust before AI touches it

Quality rules

Dates, amounts, currencies and identifiers are normalised; duplicates are merged; records that break the rules wait for review instead of entering reports.

Traceability

Every record keeps a link to its source file, row or message, so an AI answer or a report figure can be checked by hand.

FAQ

About data integration

No. We read from the systems you have and write back only where you want it. The source systems stay the place where data is entered.
Yes. Connectors, the database, search and local models can all run in your infrastructure.
We load only the fields the task needs, mask the rest where possible, and set access and retention per role together with whoever is responsible for data protection.
Classification of messy records, extraction from documents and an assistant that answers questions with links to the source. Calculations stay in SQL and code.

Data in five systems and nobody trusts the report?

List the systems and files involved and what you want to see. We reply within one business day.