Integrations / Parallel / Parallel AI Research
Parallel AI Research with Parallel
AI-powered web research with configurable processor tiers and structured output fields
What this does
Runs structured AI research on a company or contact via Parallel.ai's research agents. Used when teams need typed output fields (funding amount, headcount, tech stack, revenue) at scale instead of free-text answers. Parallel runs research jobs in parallel without rate limits, so a batch of hundreds of companies returns enriched in minutes.
What this returns
A structured research result populated by Parallel.ai's research agents — either a single text answer or the typed fields you defined (numbers, dates, lists), with citations.
How teams use this
Teams typically chain parallel ai research after an enrichment or scoring step: an inbound lead lands on the table, an enrichment action fills in the missing fields, a qualification step decides whether the lead is worth acting on, and parallel ai research runs only on the rows that pass. Because Baseloop maps each action's inputs to columns on your table, the same workflow can run on one record or on ten thousand without changing a thing.
Run this in Baseloop today
Drop parallel ai research into any workflow. Free to start, no credit card.