Problem

Gojiberry AI addresses the inefficiency and low conversion of traditional B2B outbound sales. Teams often have to assemble disconnected prospecting and outreach tools, hire SDRs or agencies, test unreliable lists, and write messages aimed at people who may never buy. The result is wasted sales labor and spend, reply rates that remain around 2–3%, and missed opportunities when a prospect is actually showing buying intent.

The killer use case is trigger-based outbound: identify prospects who are already signaling interest in a category, reach them at the right moment, and turn that activity into qualified meetings. Rather than sending more cold messages and hoping something works, Gojiberry is designed to focus sales effort on high-intent buyers and improve the economics of each outreach campaign.

Product / Service

Gojiberry is an AI-powered go-to-market agent platform for B2B companies. It learns a customer’s business and ideal customer profile, monitors buying and social signals such as LinkedIn engagement, job changes, funding events, and competitor activity, scores and enriches prospects, and generates personalized outreach. Its agents can prospect continuously, manage conversations through a unified inbox, and connect with CRM and workflow tools.

The product is delivered as a self-serve subscription, with a free agent launch and a Pro plan publicly listed at $99 per month. The core benefit is replacing a fragmented outbound process with an always-on sales workflow: customers can automate prospect discovery and follow-up while concentrating human attention on qualified conversations. Gojiberry claims that its intent-based targeting produces roughly two to five times more replies than traditional outreach.

Market

Gojiberry competes in AI-assisted B2B sales development, sales engagement, intent-data prospecting, and automated outbound. Its comparison set includes broader sales-intelligence and outreach platforms such as Apollo, Clay, Expandi, Salesforge, and SalesLoft. Gojiberry’s positioning is narrower and more signal-led than a general-purpose sales stack: it emphasizes detecting buying intent and activating it through AI agents, whereas alternatives such as Salesforge offer a broader multi-channel outbound workflow.

The company is not pre-revenue. Public company and Y Combinator materials report growth from zero to $2.5 million ARR in ten months, 30% month-over-month growth, profitability, and more than 2,000 customers, alongside a claimed two-to-five-times improvement in positive replies. The same YC profile also contains an earlier traction snapshot of $112,000 MRR, 44% month-over-month growth, and more than 1,000 paying customers, so the figures appear to represent different updates rather than one fully reconciled current metric set. A third-party database reports $500,000 of funding, but the clearest evidence of traction is the company’s reported revenue and customer growth.