As artificial intelligence reshapes enterprise software, customer expectations are evolving just as quickly. Businesses are no longer judged solely by the quality of their products but also by how well they understand and engage every individual customer. Yet many companies still rely on broad customer segments, static dashboards, and manual workflows that struggle to keep pace with changing user behaviour. French startup Shiplog believes the future lies in AI agents that continuously learn from customer interactions and recommend the next best action in real time. The company has now secured fresh funding to accelerate the development of its AI powered customer intelligence platform.
Paris based Shiplog has raised approximately $1 million in a pre seed funding round to expand its AI powered customer lifecycle and expansion platform for B2B SaaS businesses.
The investment was backed by Kima Ventures, Project Europe, Purple, No Label Ventures, 100IN, and Station F Fund. The funding will support product development, platform expansion, and the company’s commercial growth as it prepares to scale its AI native customer intelligence solution.
Building an AI Agent for Customer Growth
Founded by Khushi Mehta and Mehdi Gribaa, Shiplog is developing an AI agent called Ada that helps software companies personalise customer engagement throughout the entire customer lifecycle.
Rather than relying on fixed customer segments or predefined marketing rules, Ada continuously analyses customer behaviour, evaluates changing usage patterns, and determines the next best action for every individual user.
The platform is designed to support businesses across marketing, customer success, onboarding, product adoption, account management, and expansion by enabling highly personalised interactions at scale.
Shiplog believes every customer should receive experiences tailored specifically to their behaviour rather than generic communications designed for broad audience groups.
Replacing Static Customer Segmentation
According to the company, traditional customer relationship management and marketing automation platforms were designed before artificial intelligence became central to software.
Many organisations still group customers into broad categories and deliver identical campaigns despite every user interacting with products differently.
Shiplog replaces this approach with what it describes as a living customer profile that updates continuously as customer behaviour changes.
Its AI analyses product usage, previous conversations, support interactions, onboarding progress, purchasing behaviour, and additional contextual information before recommending personalised actions.
This enables businesses to engage customers based on their individual journey instead of historical segments that may no longer reflect their current needs.
Integrating Across the Existing Software Stack
Shiplog has been built to work alongside existing enterprise platforms rather than replacing them.
The solution integrates with widely used customer systems, including customer relationship management platforms, payment infrastructure, marketing tools, analytics platforms, and data warehouses.
Ada combines information from these different sources into a unified customer profile before recommending actions for marketing, customer success, and revenue teams.
Every recommendation is supported by transparent evidence showing exactly which information was used, allowing businesses to review, verify, and approve actions before any customer communication is sent.
The platform also includes a conversational interface that enables teams to ask natural language questions and receive AI generated recommendations based on live customer data.
Designed for AI Native SaaS Companies
Shiplog has seen particularly strong interest from software companies operating in fintech and cybersecurity, where businesses often manage thousands of customers without dedicated account managers for every account.
The platform enables organisations to deliver personalised engagement even to smaller customers who would traditionally receive limited attention.
Instead of focusing only on high value enterprise accounts, businesses can extend intelligent customer success and growth strategies across their entire customer base using autonomous AI assistance.
This approach helps improve onboarding, product adoption, customer retention, and expansion opportunities while reducing manual operational work.
Expanding the Future of Customer Intelligence
Before its public launch, Shiplog validated its technology through pilot programmes that analysed millions of customer events while building comprehensive customer profiles across large user bases.
The company believes artificial intelligence will fundamentally change how customer software operates, transforming personalisation from an optional feature into the default operating model for enterprise applications.
With fresh pre seed funding, Shiplog plans to continue developing Ada while expanding its AI powered customer intelligence platform for software companies seeking to deliver more personalised, efficient, and scalable customer experiences. As AI becomes increasingly embedded across enterprise technology, Shiplog aims to help businesses replace static customer management with continuously evolving intelligence that adapts to every individual customer in real time.