Search for people and organisations using the real question you have
Build precise nested rules when known facts decide. When fit needs judgement, describe the question in plain English and review how Graph One evaluates each result against the criteria it derives.
Use the same Search system for sales, hiring, market research, job search, investment work, expert search, partnerships, and other questions across the data agreed for your account.
General-purpose Search
Start with the question, not a narrow database category
These examples are not fixed templates. They show how the same exact and evaluative models can serve different jobs and economic settings.
Which buyers meet these exact firm and role rules?
Who has led this kind of change in a close market?
Which firms and people shape this value chain?
Who fits this role beyond the current job title?
Which companies fit an investment or deal view?
Who has direct experience of this hard question?
Which partners add the reach or skill we need?
Who can add context or help us reach the result?
When exact facts matter
Express the real rule – including the parts that must belong to the same record
Most search tools make you choose between a short filter list and a raw query language. Graph One gives teams a visual model for precise questions across people, organisations, relationships, roles, Tables, investor data, and more.
Build the logic you mean
Nest AND and OR groups instead of forcing every condition into one flat filter bar.
Keep related facts together
Use related-record clauses when a title, employer, and date must come from the same role rather than any three roles.
Reuse the answer
Name, bookmark, share, and replay a useful search, then carry selected results into a Table.
When fit needs judgement
Search for evidence of fit, not just a matching value
A request such as ‘European founders who have sold enterprise software and now invest in climate infrastructure’ contains judgements that no one field can hold. Graph One turns the request into clear traits, searches for candidates, then records its evaluation and reason for each trait on each result.
A result you can use
Review the person behind the result
A promising name is only useful if the team can inspect the person, the available evidence and the relationship context before it acts.
Avery Morgan
Partner · Northline Ventures
Investor profile · Sample data
Carepath
Clinical workflow
Seed
Northstar Health
Care operations
Series A
Signal Clinic
Health software
Seed
Put the result to work
Move selected results into shared work
Keep the selected people, fit reason, owner and next step in one current Table. The team can change its View without making another copy of the work.