AI Data Extraction Services
acty.dev extracts structured fields from documents, spreadsheets, records, or APIs into reviewable output, delivered as a data extraction pipeline with a validation or review surface, an export format, and documentation.
We extract structured fields from documents, spreadsheets, records, or APIs into reviewable output, delivered as a pipeline with a validation surface, an export format, and documentation. Extracted values stay under human review and client data stays private.
The problem we solve
Important data often lives in messy documents, spreadsheets, or lookup sources and has to be copied by hand, which is slow, inconsistent, and hard to review before the values are used downstream.
How we work
- Task review.We review the sources, the fields you need, and the systems involved, then agree on a scoped extraction pipeline before any build starts.
- Build with review.We build the extraction and validation flow against the agreed scope, with human review of AI-assisted output.
- Deploy or hand off.We deploy the pipeline or hand it off with environment notes and a repeatable way to run it on new inputs.
- Document and support.We hand over documentation and a review checklist, and offer ongoing support or a development retainer when further work is needed.
What you bring / what you get
Inputs
- The documents, spreadsheets, records, or APIs to extract from
- The structured fields you need as output
- Access to the systems where the data is used
Outputs
- A data extraction pipeline
- A validation or review surface and an export format
- Documentation and handoff notes
Definition of done.A data extraction pipeline that turns documents, spreadsheets, records, or APIs into reviewable structured output, delivered with a validation or review surface, an export format, and documentation, with extracted values kept under human review.
Fit and anti-fit
Good fit
- Teams re-keying data from documents, spreadsheets, or lookups
- Buyers who need implementation and delivery, not just advice
Not a fit
- Idea-only requests with no real source data
- Micro-budgets with no defined scope
Questions
- What does AI data extraction include?
- Extracting structured fields from documents, spreadsheets, records, or APIs into reviewable output, delivered as a pipeline with a validation or review surface, an export format, and documentation.
- What proof supports this service?
- Our public BOM enrichment work shows field-level extraction supporting enrichment, and our electronic component data search work is a sanitized example of extraction from lookup sources.
- What is out of scope?
- We do not claim flawless extraction or automatic compliance, and we do not expose private client data. Extracted values stay under human review.
Pricing.Small scoped tasks can start from a few hundred dollars. Larger implementation work and ongoing retainers are scoped after a task review. (Scoped after a task review.)
