Shiplog raises $1M to build AI customer intelligence for B2B SaaS

Paris-based startup Shiplog has secured $1 million in pre-seed funding to develop an AI-powered customer intelligence platform tailored for B2B SaaS companies. The investment round was led by Kima Ventures, Project Europe, Purple, No Label Ventures, 100IN, and Station F Fund. Shiplog aims to create agentic customer intelligence to facilitate personalization at scale.

Co-founder and CEO Khushi Mehta explained the concept behind the AI agent, Ada, which assesses individual customers and determines the optimal next action in real-time throughout their lifecycle. Mehta's inspiration for Ada stemmed from her experience managing GTM in e-commerce companies, where she observed a growing gap between product development and marketing capabilities.

As personalization becomes a crucial element in modern marketing, engineering teams have been developing features swiftly, especially with AI integration. However, marketing teams have struggled to keep pace, leading to a bottleneck in the growth engine. Shiplog seeks to address this issue by building an infrastructure bridging the gap between engineering and marketing teams.

The co-founders, Mehta and Mehdi Gribaa, met during the Entrepreneurs First process and now operate from Station F. Mehta, who founded Shiplog at 23 after completing her ESCP studies, was previously responsible for marketing in GTM. Gribaa, who co-founded the company at 25 after earning a master's in computer engineering, previously developed AI solutions in finance, healthcare, and retail sectors.

Mehta argues that today's customer data platforms, personalization engines, and marketing automation tools were designed for an era that no longer exists due to the evolving SaaS model. She believes the next generation of companies will be AI-native, with AI agents performing most tasks autonomously. As AI advances, software development costs decrease, and pricing shifts from per-seat subscriptions to usage-based models, customers now exhibit individual behaviors rather than being categorized as predictable cohorts.

Traditional segmentation methods, based on outdated data, fail to adapt to these changing customer behaviors. Shiplog's AI agent, Ada, continuously updates each customer's profile as their behavior changes, enabling personalized marketing campaigns, product interfaces, onboarding flows, recommendations, support, and lifecycle communications.

For instance, in a fintech scenario, if a customer abandons a KYC verification, traditional methods would send a generic reminder to the entire segment after three days. However, Ada combines various signals such as customer support interactions, emails, phone calls, location, and product usage to develop a more comprehensive understanding of each customer.

This allows Ada to tailor messages based on individual circumstances and behavior, increasing product adoption through personalization. The same approach can extend to the product itself, with dynamic paywalls, personalized onboarding, and other interactions adapting to each individual customer. For product-led growth companies, Ada enriches new signups with public information and data collected during onboarding to build a more comprehensive customer profile.

By integrating enrichment with product usage data, Ada can identify workspace administrators, billing owners, decision-makers, and end users, allowing personalized communication tailored to each person's role. Shiplog's AI decision layer aims to bridge the gap between customer data platforms, personalization engines, and marketing automation tools, providing companies with an AI-native solution to enhance customer experiences and drive growth.