Gojiberry AI Debuts a "GTM Brain" for Small Sales Teams That Learns What Actually Converts
Outbound sales has become an arms race of volume, and small teams are losing. Cold lists, mass sequences, and blanket personalization tools have driven reply rates to historic lows while inboxes become harder to crack. Gojiberry AI, a Y Combinator Spring 2026 company, is pitching a different approach: an AI outbound sales platform with a ‘GTM Brain’ that continuously learns what works and routes effort only toward prospects showing real buying signals.
At the core of Gojiberry AI is a system that moves beyond static ICP firmographics and cold contact data. It ingests signals across the web and across a team’s own history – competitor engagement, social activity, job changes, hiring spikes, funding events – and combines them with what the company’s own data says about pipeline progression. The platform then prioritizes prospects based on fit and intent, analyzes each lead’s context, generates personalized messages, starts conversations, and follows up automatically until a meeting is booked. The system, the company says, “constantly optimizes targeting, messaging, and timing so performance compounds over time.”
The business case is concrete. Small sales teams can’t afford the specialized stack – data enrichment, intent providers, sequencing, AI SDR tools, analytics – that enterprise revenue operations spend millions to stitch together. As an AI outbound sales platform, Gojiberry AI replaces that patchwork with one learning system whose output is a predictable pipeline rather than another dashboard. The company reports that early users are seeing two- to five-times more replies and more qualified conversations, without the wasted cycles of chasing low-intent prospects.
Gojiberry AI was founded in 2025 by Pierre-Eliott Lallemant, Romàn Czerny, and Dylan Teixeira. Lallemant and Czerny previously exited CoCo AI together and are building Gojiberry as co-founder/CEO and co-founder/CMO respectively. Teixeira, the company’s CTO, is a French entrepreneur who previously co-founded another venture before joining them on Gojiberry. The team is hiring across engineering, customer success, and sales – with roles for a Fullstack Angular/NestJS developer, a head of customer success, customer support specialists, and a sales development representative, most of them remote across Europe, France, and LATAM.
The broader market has been waiting for a solution like this. Generative AI has flooded sales teams with personalization tools that all sound the same, and buyers have grown numb to templated outbound. What has been missing is feedback – a loop that watches which messages, timing windows, and prospect profiles actually drove conversations, and folds that learning back into targeting decisions. Gojiberry AI is betting that small teams, with their tight signal-to-noise and short iteration cycles, are the perfect setting for such a loop to compound.
As the Y Combinator Spring 2026 cohort comes online, Gojiberry AI enters a crowded but structurally underserved corner of the market: revenue tools built specifically for small teams. If the company’s GTM Brain can continue to raise reply rates while cutting manual prospecting, it has a chance to define the default sales stack for startups and mid-market sales teams that have given up on the cold-list era.