Coming soon
Use caseSales Data Management & Enrichment
Run your sales pipeline as data. Start with thin lead records in a table, enrich each one — company info, fit signals — score it, and write the results back, all in parallel across the whole table.
What you will learn
Treat a table as the system
Hold leads as rows and operate over them in bulk.
Enrich and score
Look up each lead, gather context, and let an agent score the fit.
Run at scale
Use workflow columns to process every row in parallel.
What you'll build
Leads live in a table. A workflow column runs per row: it enriches the record, an Agent block scores the fit, and the results are written straight back into the table. The table becomes both the queue and the record.
This is tables and agents composed into a pipeline that operates at scale.