Complete a known expert profile
Request a work email or business phone after the professional has been selected through the research process.
On-demand enrichment for B2B research
Add contact and company context to research subjects you already know.
TargetWise completes a known professional or business at the moment an analyst or research workflow needs more context—without turning enrichment into list building or research judgment.
No market-map generation, panel building, bulk refresh or automated expert selection.
Research-operations request
IllustrativeRequestSelected interview candidateKnown profile + company · email and phone requested
TargetWise routeOne entity per lookup
IdentityProfessional resolved
Contact fieldsPartial result
Research fitAnalyst decides
Known subjectsone professional or company
15+ sourcesavailable for contact routing
Field-levelreturned and unresolved outcomes
REST + MCPresearch application delivery
A focused research data layer
Complete the subject after the research question is defined.
TargetWise fits between subject selection and the next research step, where a known professional or company is missing a supported field.
The research team or application identifies the subject and purpose first. TargetWise then retrieves available contact or company context through the selected one-record operation.
The product does not decide whether the person is an expert, whether a company belongs in a market, or whether evidence supports the research conclusion.
Research workflow support
Reduce lookup work while keeping analytical judgment visible.
Use enrichment for the missing field, then return control to the analyst or research system.
Resolve a known business
Use the separate company route to return available identity and firmographic context.
Prepare expert-interview contacts
Add available business contact details to the professionals selected for interviews.
Preserve no-match and uncertainty
Do not let a missing or ambiguous field become an inferred fact in a report or agent answer.
Embed in research applications
Trigger enrichment when an analyst approves the record or opens a defined workflow step.
Ground an AI research task
Expose a narrow retrieval action while the host controls calls, citations and downstream actions.
Reference research flow
Select, enrich, verify and use.
Enrichment begins after subject selection and ends before analytical judgment.
Select the subject
The analyst or research system identifies the known person or company relevant to the question.
Request the context
Choose the contact fields or separate company operation needed for the next research step.
Verify the result
Check identity, field status and fit against trusted research context.
Continue under method
Apply interview, citation, conflict and analytical rules outside TargetWise.
Research quality
Measure the data step separately from the research conclusion.
The useful operational metric is whether the required field was returned for the intended subject and passed the team’s acceptance rule. It is not whether the research hypothesis was confirmed.
Segment the evaluation by professional versus company, field, market, industry and identifier strength. Include ambiguity and expected no-match records so the workflow cannot hide uncertainty.
- Identity-confirmed field completion
- Work email and phone measured separately
- Company-match quality
- Manual research minutes avoided
- Explicit unresolved handling
Research scorecard
What to test before production
1Did the request target the intended subject?
2Was the exact required field returned?
3Could the analyst see limitations?
4Did the workflow stop without inventing evidence?
Research workflow moments
Use enrichment after the subject is known.
The surrounding research method determines relevance, evidence and action.
Complete a selected professional profile.
Request business contact data only after the research team has selected the subject.
Add context to a known business.
Resolve the company behind an accepted domain or legal identifier through the separate company route.
Reduce manual lookup in a live project.
Trigger one-record enrichment when the research workflow reaches the data-completion step.
Ground a known-entity task.
Use retrieved fields and explicit no-match instead of relying on model memory for current contact data.
Frequently asked questions
What to know before you build.
TargetWise reduces field lookup. The research team still owns subject selection, verification, conflicts and conclusions.
Try the data step
Test TargetWise on subjects from real research workflows.
Include known matches, difficult identities and expected no-match cases across the markets your team covers.