Multi-source handling
Email, files, portals, and system exports treated as one pipeline.
Data Extraction
AI data extraction that turns messy, scattered sources into clean, structured data.
Useful business information often arrives as email text, portal screens, spreadsheets, and attachments. Data extraction turns those inconsistent inputs into reliable records your systems and reports can use.
Doing it manually today
What this looks like without AI.
Copying values from emails and portals into spreadsheets
Reformatting files so they can be imported
Reconciling the same information from different sources
Fixing inconsistent names, dates, and codes
The NixChit approach
How we build it.
- 1Sources and required fields are identified
- 2Values are extracted and normalised to one format
- 3Duplicates and conflicts are resolved by clear rules
- 4Verified records land in your database or reporting layer
Capabilities
What's included.
Normalisation
Consistent formats for dates, codes, names, and amounts.
Quality checks
Missing or improbable values flagged before use.
Scheduled runs
Extraction repeats on the rhythm your business needs.
Fits what you already run
Built around your existing systems.
We connect to the tools your business already uses, so you modernise gradually instead of replacing what works.
Supplier and partner feeds
Spreadsheets and exports
Internal databases
Reporting and BI tools
Business impact
What changes for the business.
Trustworthy reporting
Decisions rest on consistent, verified data.
No more manual copying
Routine data entry disappears from the day.
Faster access to information
Data is ready when it is needed, not days later.
Related use cases
Often built together.
Document Intelligence
AI document processing that turns paperwork into structured, usable business data.
Learn MoreAI Knowledge Assistants
An AI knowledge base assistant that answers from your own documents, with sources you can check.
Learn MoreIntelligent Search
AI-powered enterprise search that finds the right information by meaning, not exact keywords.
Learn MoreStart a conversation
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