
Replenit is the AI decision and action engine behind your retention, acting like an individual AI CRM manager for every single customer you have. Most retailers still rely on static flows and broad…

Replenit is the AI decision and action engine behind your retention, acting like an individual AI CRM manager for every single customer you have. Most retailers still rely on static flows and broad…
What they do: AI decision-and-action engine for individualized retail/e‑commerce lifecycle (replenishment, cross‑sell, upsell, churn prevention, promotions)
Tech approach: Runs individualized autonomous journeys on first‑party data and triggers actions via existing marketing and commerce tools
Headcount: 23 employees (reported)
Funding: Pre‑Seed round reported (~$2.5M) with multiple investors and co‑leads
Alp Karacaev; Caner Demir; Cenk Karacaev; Ilyas Kurklu; Omer Ozden
Retail and e‑commerce retention and lifecycle automation
Technology, Information and Internet
$2.5M (reported)
Crunchbase/Dealroom reporting and company about page list multiple participating VCs and angels (approximately 10 investors reported).
“Backed by multiple early‑stage venture funds and angel investors, including Movens Capital, Vastpoint, Logo Ventures, DigitalOcean Ventures, Finberg, Caucasus Ventures and named angels”
We are looking for an AI Research Engineer to help design and prototype advanced AI capabilities that power our platform.
This role sits at the intersection of research and engineering. You will explore new approaches in machine learning and large language models, and translate promising ideas into practical systems that can operate at scale.
You will work closely with the Head of AI and ML engineers in a small and highly technical team, contributing to the long-term evolution of our AI capabilities.
What You'll Work On
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