Data Validation & Verification Services
Verify records, attributes and claims against authoritative sources, with the source of truth agreed first, conflicts adjudicated and status reported per field.
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Cleaning, Validation and Verification Ask Different Questions
| Layer | Question |
|---|---|
| Cleaning | Is the record well-formed? |
| Validation | Is the record internally plausible? |
| Verification | Is the record actually true? |
See Data Cleaning & Preparation and Dataset QA & Label Audit.
Every Project Turns on the Source of Truth
Authority, currency, gaps, permitted access, source hierarchy and the meaning of unverifiable are agreed before production. Where no source of truth exists, the work is reported as plausibility review rather than verification.
What We Verify
- Record Verification
- Attribute and Field Verification
- Business and Organisation Verification
- Contact and Address Verification
- Document-Backed Verification
- Claim and Fact Verification
- Cross-Reference and Multi-Source Matching
- Plausibility and Consistency Review
- Domain-Expert Verification
- Scheduled Re-Verification
Source documents can first be structured through Document & OCR Annotation.
When Authoritative Sources Disagree
Disagreement is preserved rather than overwritten. A hierarchy handles expected cases, senior reviewers adjudicate exceptions, legitimate multiple values remain visible and conflict rate is reported by field.
Triage by Consequence
High-consequence values receive thorough checks, analytical fields can be sampled to estimate a rate and low-consequence structural fields remain within cleaning and validation. Sampling estimates a rate but cannot guarantee one specific record.
Verification Has a Shelf Life
Every verified value carries a source and date. Re-verification cadence is set per field type from measured decay rather than a universal industry rate.
How a Verification Engagement Runs
- Consequence scoping
- Source of truth definition
- Conflict hierarchy
- Pilot batch
- Production verification
- Senior adjudication
- Evidence-led delivery
What You Get Back
Verified data with six distinct field states: verified, verified with conflict, contradicted, unverifiable, not attempted and plausibility-reviewed only. Delivery also includes field-level rates, source and date, a conflict register, correction log where scoped and refresh guidance.
Domain, Language and Security
Qualified reviewers can support medical, legal, financial, engineering, education and scientific claims. Programmes support 30+ global languages with comprehensive Indian regional-language depth. ISO 9001 and ISO 27001 certified processes support named access, lawful source use and audit trails.
Related Services and Proof
LLM Training Data Curation Metadata Enrichment Cleaned dataset samples Case studies Client testimonials
Frequently Asked Questions About Data Verification
What is data verification?
Data verification checks whether data is actually true by comparing it with an authoritative external source.
What is the difference between data validation and verification?
Validation checks plausibility and rules. Verification checks external correctness against an agreed source.
What is a source of truth?
The authoritative reference agreed for a specific field, including its currency, coverage and access limits.
What happens when sources disagree?
The conflict is retained, a pre-agreed hierarchy is applied and unresolved cases receive senior adjudication.
Do you verify every record?
Not always. Fields are triaged by consequence into thorough verification, statistical sampling or cleaning and validation only.
What does unverifiable mean?
No available source could confirm or contradict the value. It is a separate status and does not mean wrong.
How long does verification last?
Verification is time-stamped per field and a refresh cadence is recommended based on measured decay.
Do you support global languages?
Yes, across 30+ global languages with comprehensive Indian regional-language depth and native-source review.