A valid value can still violate the business.
Technical validity does not guarantee business correctness.
DATA QUALITY & TRUST
Bad data can look right until it reaches a dashboard or AI model.
Dataveid detects data-quality issues and Business Rule violations, shows the evidence behind each finding, and keeps consequential changes under human control before the data is used for reporting, analytics or AI.
Dataveid analysis
ISSUE TRIAGE
Not every data issue should be treated the same way.
13 issues · 6 fixable · 7 judgment
Current run
13 issues need attention
6 READY FOR CONTROLLED REMEDIATION7 NEED HUMAN / BUSINESS JUDGMENT
Dataveid separates what can be corrected safely from what needs business judgment.
WorkflowDetect → Assess → Fix safely / Review
DATA & AI SOLUTIONS
Need Dataveid adapted to your use case?
Dataveid can be adapted to your data, Business Rules and workflows. Other data engineering, BI, automation and AI solution needs can also be discussed.
WHY DATA QUALITY MATTERS
Data doesn't need to be obviously broken to be unreliable.
A clean dashboard can still report the wrong number.
Duplicates and inconsistent records can distort metrics even when the pipeline succeeds.
An AI model can confidently use unreliable inputs.
Structured data can still contain contradictions, missing context and hidden quality problems.
Dataveid combines data-quality checks, Business Rules, evidence and controlled remediation before data is used downstream.
THE DATAVEID WORKFLOW
A controlled path from questionable data to trusted data.
Move from a finding to a defensible data decision without losing the evidence in between.
STEP 01
Detect
Surface quality, consistency, and business-rule findings before they spread.
Data → finding → evidence → decision → verified data
CONTROL OVER BLACK BOXES
AI can suggest. Your data still deserves control.
Dataveid combines deterministic checks, business rules and AI-assisted reasoning without turning data quality into a black box. Findings come with evidence. Changes come with previews. Risky actions require human judgment.
SAFE CLEANUP
Whitespace / formatting
Preview → Review fix
NEEDS JUDGMENT
Missing contextual value
Manual Review
BUSINESS RULE
Configured organization rule
Confirmed violation → human decision
CONFIDENTIALITY BY DESIGN
Improve your data without giving it away.
Dataveid is designed to improve data quality without requiring permanent retention of operational datasets or requiring those datasets to be exposed to third-party AI providers.
YOUR DATA STAYS YOURS
Dataveid does not require a permanent copy of the operational datasets it analyzes.
AI WITHOUT UNNECESSARY EXPOSURE
Using Dataveid does not require handing the operational dataset to a third-party AI provider.
CONTROLLED CHANGES
Important changes remain reviewable, auditable and under human control.
Have strict confidentiality or infrastructure requirements?
Dataveid can be adapted around your organisation's confidentiality, infrastructure and AI policies.
OUTCOMES
Where Dataveid fits
PREPARE DATA FOR ANALYTICS
Find and resolve issues before dashboards, BI and decision-making depend on them.
CLEAN OPERATIONAL DATASETS
Review formatting, missingness, duplication and consistency problems in one controlled workflow.
ENFORCE BUSINESS RULES
Translate organization-specific expectations into deterministic checks and review violations with evidence.
PREPARE DATA FOR AI
Improve the quality and trustworthiness of datasets before they feed AI, automation or downstream models.
New to Dataveid? See the complete workflow in two minutes.
Follow one dataset from detection through review, correction and verification.
FAQ
Questions before you start
What is Dataveid today?
Dataveid is an independently built data-quality and trust project that is still under active development. The current Demo shows the workflow and capabilities that are already working.
Why not just use a general-purpose AI tool?
General-purpose AI can reason about data, but Dataveid is being built around repeatable checks, evidence, business rules, review and controlled data-cleaning workflows.
Does Dataveid automatically change my data?
The current approach is review-first. Important changes are surfaced for inspection rather than silently applied as black-box transformations.
What is still being worked on?
The product is still being tested and hardened. Ongoing work includes reliability testing, benchmarking, edge-case evaluation, data-cleaning verification, performance work, integrations and broader production readiness.
Explore Dataveid
See the current workflow in the public Demo.