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
Why not use a general-purpose AI tool on my data?
General-purpose AI tools can help reason about data. Dataveid brings deterministic checks, evidence, previews and review decisions into one governed workflow.
Does Dataveid automatically modify my data?
No consequential change is treated as a black-box mutation. Dataveid shows previews and keeps important decisions under human control.
Does Dataveid need to store our datasets?
Dataveid does not require permanent retention of the operational datasets it analyzes. Your exact requirements can be discussed privately.
Does our dataset need to be sent to third-party AI providers?
No. Using Dataveid does not inherently require handing the operational dataset to a third-party AI provider.
Can we define our own business rules?
Yes. Organization-specific expectations can become deterministic checks, with evidence available when a rule is violated.
Can Dataveid work around an existing data environment?
That is a private implementation discussion. Dataveid can be adapted around an organization's environment and operating requirements.
Can Dataveid be customized for a specific organization?
Yes. A tailored data-quality workflow can be discussed around your sources, rules and operational needs.
Still have a specific data question? Discuss your data →
See what Dataveid can find in your data.
Explore the workflow yourself, or discuss how Dataveid could fit a real data-quality problem.