Verify the source
- Record and field-level verification
- Ground-truth confirmation
- Cross-source comparison
OUR SERVICES
People-powered services for
trusted data and technology.
Experienced teams perform the detailed, high-judgment work required to protect quality, complete transformations, and keep technology programs moving.
01
DATA QUALITY
Validation & Integrity
When data is incomplete, duplicated, inconsistent, or simply wrong, our teams review it against the source and fix what automation missed.
Find the exceptions
- Missing and inconsistent data review
- Exception investigation
- Second-pass quality review
Correct and document
- Data correction and remediation
- Quality scorecards and reporting
- Audit-ready documentation
02
DATA OPERATIONS
Collection, Curation & Research
When your internal team does not have the time or capacity to collect and organize large amounts of information, OnPoint builds the team to do it.
Collect and verify
- Desk and public-record research
- Source verification and citations
- Survey and interview support
Label and organize
- Image, video, text, and audio labeling
- Entity, intent, and taxonomy tags
- Document classification
Prepare for use
- Data cleaning and normalization
- Metadata enrichment and indexing
- Dataset balancing and selection
03
TECHNOLOGY CHANGE
Conversions & Migrations
Technology does not always move every record successfully. Our people identify what was missed, manually enter or rebuild the information, and verify that the new system contains a complete and accurate record.
Convert the data
- File and database format conversion
- Document digitization and data capture
- Field mapping and transformation
Recover what was missed
- Manual entry of records that did not transfer
- Completion of missing fields and values
- Correction of rejected records
Verify the new system
- Source-to-target reconciliation
- Missing-information review
- Manual remediation and quality checks
04
AI & SOFTWARE REVIEW
Human Review & Testing
When AI or software still needs human judgment before it can be trusted, our teams review the outputs, workflows, and edge cases.
Review AI outputs
- Response scoring and ranking
- Hallucination and logic-error review
- Bias, safety, and policy assessment
Test software workflows
- User acceptance testing support
- Business-rule validation
- Issue capture and reproduction
Check compliance
- PII and sensitive-data review
- Policy and standards checks
- Documented escalation paths