This Paris Startup Just Raised $930K to Make Every Customer Interaction Feel One-on-One

Jan de Vries · 2026-08-04

Shiplog, a Paris-based startup, just closed a pre-Seed round of over $930,000 to build what it calls the intelligence layer behind every customer interaction on the internet. The funding was backed by Kima Ventures and Project Europe, with additional participation from Purple, No Label Ventures, 100IN, and the Station F Fund. The core idea here is pretty bold: every piece of software that touches a customer should eventually become adaptive, reasoning about each person in real time instead of following static rules. As Mehdi Gribaa, co-founder and CTO, puts it, "Every customer should experience a different version of the same product, marketing campaign and customer journey. That is the future we are building towards." Founded in 2026 by Khushi Mehta and Mehdi Gribaa, Shiplog has built an AI agent called Ada. Ada evaluates each customer individually, decides the next best action across the full lifecycle, and acts in real time. No waiting for a human to read a dashboard. No relying on segments that were drawn up weeks ago. ### The Problem With How Companies Treat Customers Today Here's the thing: the tools companies currently use to understand customers—customer data platforms (CDPs), customer success software, personalisation engines, marketing automation—were built for a world that no longer exists. That's not us saying that; it's Shiplog's core argument. With AI compressing software development timelines and pricing shifting from per-seat subscriptions to usage-based models, customers have stopped behaving like predictable cohorts. They've started behaving like individuals. Yet most companies still read them through segments drawn up weeks or months earlier, and act through tools that either display a dashboard or fire a rule written for the average user. Shiplog believes the entire operating model is about to be rewritten, and it wants to be the company that rewrites it. ### What Ada Actually Does Differently Instead of dropping customers into fixed buckets or surfacing a health score for a human to interpret, Ada continuously updates each customer's profile as behavior changes. Then it personalises everything downstream. That includes: - Marketing campaigns - Product interfaces - Onboarding flows - Recommendations - Support interactions - Lifecycle communications - The judgment calls that customer success and account teams make by hand today Every interaction adapts to the person, not the average. Shiplog calls the result a live "segment of one." Ada sits above the existing stack, plugging into Salesforce, HubSpot, Snowflake, Shopify, Stripe, and other customer platforms. It connects to them, builds a live customer profile, and decides what happens next. The founders make a sharp distinction here: customer data platforms assemble the record, and customer success platforms score it and hand it to a human. Personalisation and marketing automation tools fire predefined workflows written for segments. None of them actually makes the decision. Shiplog is designed to make the decision itself, and to keep making it as behavior shifts. ### Why This Matters for Go-to-Market Teams "Engineering industrialised and pricing individualised, but marketing got left in the middle," said Khushi Mehta, co-founder and CEO. "Every customer now behaves differently, yet most are still treated as part of a segment. The data to personalise every customer already exists. Ada is the infrastructure that acts on it." Shiplog is starting in FinTech, cybersecurity, software, and consumer sectors. These are areas where behavior changes quickly, customer volume is too high to manage manually, churn is costly, and personalised engagement directly drives growth and retention. The company is based at Station F in Paris and is rolling out its first deployments with early customers. It's not trying to build another point tool for one team. Instead, it thinks AI can collapse customer intelligence, customer success, and personalisation into a single reasoning layer—and replace the segment as the operating model for GTM teams. Whether that vision plays out remains to be seen, but the timing feels right. As pricing models shift and customers demand more individualised experiences, the companies that treat people like people instead of averages might just have an edge.