AI-powered go-to-market platform that helps B2B sales teams find, prioritize, and engage high-intent prospects using real-time buying signals.
This is the broad commercial model reported for Avina. Product-level terms are listed below when available.
Trust profile
Avina introduced several product updates, including a business contact fallback feature that utilizes public business emails and phone numbers when individual contact data is unavailable. The company launched an Avina MCP server to enable AI agents, such as Claude, to query signals, contacts, and workspace settings. Additionally, users can now perform bulk enrichment on specific contact selections and apply geographic filters to signal-based lead generation. Existing features were enhanced to allow dynamic sender assignment in outbound sequences integrated with Lemlist.
Avina has updated its outreach sequences to include LinkedIn connect requests, enabling multi-channel workflows alongside existing email and message steps. Users can now create and save reusable instruction snippets to ensure consistency across AI-generated outreach campaigns. The platform also introduced per-signal enrichment controls, allowing users to move beyond global workspace defaults to configure enrichment settings at the individual signal level. Additionally, improvements were implemented to increase the accuracy of contact-to-company matching.
Avina launched a phone number enrichment feature that integrates data from multiple third-party providers, including LeadMagic, Findymail, People Data Labs, Hunter, and Forager, allowing users to enrich contact profiles with phone numbers. The company also expanded its outreach sequences to support LinkedIn direct messaging steps, enabling multi-channel communication strategies. Furthermore, a workspace switcher was introduced to allow users to navigate between different team accounts without re-authentication.