Paris-based Shiplog raises over €807.6K to build agentic customer intelligence for personalisation at scale

Shiplog, a Paris-based startup building agentic customer intelligence for personalisation at scale, has raised over €807.6k ($930k) in pre-Seed funding to build what it believes will become the intelligence layer behind every customer interaction on the internet.

The round was backed by Kima Ventures and Project Europe, alongside Purple, No Label Ventures, 100IN and Station F Fund.

“We believe every piece of software that interacts with customers will eventually become adaptive, reasoning about each person in real time instead of relying on static rules. Every customer should experience a different version of the same product, marketing campaign and customer journey. That is the future we are building towards,” said Mehdi Gribaa, co-founder and CTO. 

Founded in 2026 by Khushi Mehta and Mehdi Gribaa, Shiplog has built Ada, an AI agent that evaluates every customer individually, decides the next best action across the full lifecycle, and acts in real time.

According to the company, the way companies understand and act on their customers- the tools sold today as customer data platforms (CDPs), customer success software, personalisation engines and marketing automation- was built for a world that no longer exists. 

It notes that with AI compressing software development and pricing collapsing from per-seat subscriptions into usage-based models, customers have stopped behaving like predictable cohorts and started behaving like individuals. It highlights that 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. 

Shiplog opines that the entire operating model is about to be rewritten, and it wants to be the company that rewrites it.

The company states that 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 behaviour changes and personalises everything downstream. This includes marketing campaigns, product interfaces, onboarding flows, recommendations, support, lifecycle communications, and the judgement 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”.

Shiplog sits above the existing stack, plugging into Salesforce, HubSpot, Snowflake, Shopify, Stripe and other customer platforms. Ada connects to them, builds a live customer profile, and decides what happens next.

According to the founders, customer data platforms assemble the record, and customer success platforms score it and hand it to a human, while personalisation and marketing automation tools fire predefined workflows written for segments. None of them makes the decision. 

Shiplog claims that it is designed to make the decision itself, and to keep making it as behaviour shifts. The company isn’t trying to build another point tool for one team. 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.

“Engineering industrialised and pricing individualised, but marketing got left in the middle. 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,” said Khushi Mehta, co-founder and CEO of Shiplog. 

The company is starting in FinTech, cybersecurity, software, and consumer sectors, as these are the areas where behaviour changes quickly, customer volume is too high to manage manually, churn is costly, and personalised engagement drives growth and retention.

Shiplog is based at Station F in Paris and backed by Kima Ventures, Project Europe, Purple, No Label Ventures, 100IN and Station F Fund alongside angels. It is rolling out its first partner pilots, expanding integrations and growing its engineering team in Paris. 

The company’s long-term goal is to become the intelligence layer behind every customer interaction, so that any application can personalise itself continuously.

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