Preparing for launchFLAGSHIP PRODUCT / DATAACCURLY

Complex data.
Trusted decisions.

Digital Galaxy is building DataAccurly to connect programme data, document intelligence and human verification in one controlled workflow.

Discuss a product demoExplore the workflow
Multilingual OCRConnected-source checksHuman-in-the-loop
INSIDE OUR FLAGSHIP PRODUCTExplore the full workflow
DataAccurly — Validate Data. Verify Evidence. Build Trust.
OWNER-SUPPLIED PROTOTYPE / MOCK DATA
DataAccurly dashboard prototype screen with mock data
Programme overview and verification activity.Open full-size screen

Product prototype supplied by the owner. All figures are mock data, not customer results or evidence of production availability.

MEET DATAACCURLY

One controlled workflow.
A more reliable picture.

DataAccurly is a data validation and verification platform designed to turn complex programme data into reliable, actionable information. It brings data intake, standardisation, automated validation, sampling, and quality assurance into one controlled workflow.

Its capabilities include OCR and multilingual document extraction, geotag and location-metadata extraction, supporting-document verification, external data validation, and API-based checks against connected sources. Automated checks work alongside human review to identify inconsistencies, resolve exceptions, and strengthen confidence in every record.

With traceable corrections, evidence-linked decisions, and clear audit trails, DataAccurly helps organisations improve data quality, strengthen programme oversight, and support dependable reporting.

THE PLATFORM

Every check matters.
Connect them all.

Document intelligence, connected-source checks
and human judgement, working together.

01 / DOCUMENT INTELLIGENCE

Read beyond the document.

Multilingual OCR brings document information into the validation workflow. Review extracted information alongside the supporting evidence.

OCR · Multilingual extraction 02 / GEOGRAPHIC EVIDENCE

Put location into context.

Extract geotags and location metadata for review alongside programme records. Treat metadata as evidence to examine, with human judgement where needed.

Geotags · Location metadata 03 / CONNECTED VALIDATION

Check against connected sources.

Combine automated validation with external data checks and APIs connected to the workflow. Examine inconsistencies before relying on the record.

External data · API checks 04 / HUMAN VERIFICATION

Keep judgement in the loop.

Bring sampling, human verification and exception resolution into the same controlled process as automated checks.

Sampling · Review · Exceptions 05 / EVIDENCE & AUDIT TRAILS

Understand every correction.

Trace changes and link decisions to supporting evidence, strengthening the information available for oversight and reporting.

Corrections · Decisions · Audit history 06 / DATA QUALITY WORKFLOW

A consistent path through complexity.

Connect data intake, standardisation, automated validation and quality assurance so records can be reviewed within one workflow.

Intake · Standardise · Validate

CONFIDENCE HAS A PAPER TRAIL

Trace the correction.
Understand
the decision.

Keep the context behind your data. Evidence-linked decisions and clear audit trails help strengthen programme oversight and dependable reporting.

Explore evidence & audit
RECORD / DEMO-002ILLUSTRATIVE

A decision with context.

  1. 01
    Evidence received

    Supporting document linked to the record.

  2. 02
    Inconsistency identified

    A document field requires closer review.

  3. 03
    Human review

    Evidence examined before an exception is resolved.

  4. 04
    Correction traced

    The decision and its evidence stay connected.

BUILT AROUND THE WORK

Put better data
into practice.

Explore use cases
01 / USE CASE

Bring consistency to programme records.

Review incoming records with automated checks, supporting documents and human verification.

Programme data validation 02 / USE CASE

Make supporting evidence part of the decision.

Connect OCR and multilingual extraction to document verification and review.

Document-led verification 03 / USE CASE

Focus review where it is needed.

Bring sampling, human review and exception resolution into programme-data quality assurance.

Sampling & quality assurance 04 / USE CASE

Report with the context behind the record.

Support oversight and dependable reporting with traceable corrections and evidence-linked decisions.

Programme oversight

THE NEXT CHAPTER

A connected enterprise vision.

Explore the broader direction across field operations, data collection, workflow management and business intelligence.

PROPOSED EXPANSIONExplore the vision

LET’S TALK ABOUT YOUR DATA

Your next programme.
A clearer picture.

Explore how a connected validation workflow could fit your organisation.

Discuss DataAccurly