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

Shiplog, a Paris-based startup, has raised about $1 million in a pre-seed round to build an AI-powered customer lifecycle and expansion platform for B2B SaaS companies, per Tech.eu.

The round is backed by Kima Ventures and Project Europe, alongside Purple, No Label Ventures, 100IN, and Station F Fund. Shiplog is building out of Station F, the Paris startup campus. Co-founders Khushi Mehta (CEO) and Mehdi Gribaa met through the Entrepreneurs First program. Mehta, 23, graduated from ESCP and previously spent six years in go-to-market roles, most recently leading marketing for agentic commerce infrastructure. Gribaa, 25, graduated from École des Mines with a master's in computer engineering and has shipped AI products across finance, healthcare, and retail, according to Tech.eu.

The company's core product is an AI agent called Ada, which evaluates every customer individually and determines the next best action across the full customer lifecycle in real time. Rather than grouping users into broad segments, Ada continuously updates each customer's profile as behavior changes and personalizes marketing campaigns, onboarding flows, product interfaces, support interactions, and lifecycle communications. Shiplog calls the output a live "segment of one." The platform sits above existing customer stacks, integrating with Salesforce, HubSpot, Snowflake, Shopify, Stripe, and other tools. Every recommendation and autonomous action is logged with supporting evidence, and human teams retain approval over outbound messages before they are sent.

The idea emerged from Mehta's experience running go-to-market at e-commerce companies, where she observed a growing gap between engineering velocity and marketing execution. "'Engineering teams were shipping features at a pace we'd never seen before, especially with AI, but marketing couldn't keep up,'" she told Tech.eu. She argues that existing customer data platforms, marketing automation tools, and customer success software were designed before AI and are now being retrofitted rather than rebuilt. Shiplog positions Ada as an AI-native alternative — built around agents performing work autonomously rather than dashboards surfacing data for humans to interpret.

Ahead of its public launch, Shiplog ran two pilot programs to validate the platform. In the first, it analyzed more than four million events across around 1,000 customers, building a 360-degree profile of each while testing the platform at scale, Tech.eu reports. The company has seen its strongest early traction in fintech and cybersecurity — sectors with large customer bases where dedicating a customer success manager to every account is not feasible. Mehta noted that Ada allows companies to provide personalized engagement to lower-revenue customers who would otherwise receive no individual attention.

On defensibility, Shiplog is concentrating on the SaaS vertical to accumulate industry-specific knowledge over time — understanding which messages convert, where customers drop off in fintech onboarding funnels, and what behavior patterns look like across multiple companies. The company's longer-term vision, per Tech.eu, is a persistent personalization layer that compounds as Ada learns from every customer interaction across a company's full product history.