The problem
Teams often have contacts but lack context for useful segmentation. Researching company, role, industry, and location by hand turns each empty field into repeated work.
Enrivo · contact enrichment for Mailchimp
Executive summary of the case study.

Enrivo researches public sources to propose company, role, industry, and location data for Mailchimp contacts. Each suggestion shows evidence and needs approval before sync.
Enrivo helps B2B teams add useful context to contacts without taking control away from audience owners. It proposes values backed by public sources. People decide what reaches Mailchimp.
Teams often have contacts but lack context for useful segmentation. Researching company, role, industry, and location by hand turns each empty field into repeated work.
The workflow imports an audience or file, lets users choose fields, and shows proposals with evidence and confidence. Nothing syncs until a person reviews and approves each change.
The commit history moves from an MVP to a record-level research agent, background runs, retries, and evaluation. The app uses Next.js, TypeScript, PostgreSQL, and Drizzle. Mailchimp connects per user, and only approved changes are written back.
The public site presents Enrivo as an early-access product. This case makes no customer-result or accuracy claims. Its public demo uses fictional data.

The page illustrates how a person can check proposed data and review its sources before approving a sync.
For a conversation about human-reviewed data enrichment, email me@raul-alvarez.es.
The public site shows company, job title, industry, and location as example fields.
No. A person reviews the evidence and approves changes before sync.
The public site invites people to request early access.