Laurent’s writing.

Laurent’s writing bridges business, storytelling, and lived experience. He is the author of Corporate Venturing, a Framework, a practical guide for innovation leaders, as well as several white papers and essays on startup collaboration and AI-driven scouting.

His work also includes literary fiction, experimental formats, and scripts for stage and television — notably from humanitarian missions in Madagascar. Whether strategic or narrative, his writing aims to bring clarity, structure, and humanity to complex systems.

Corporate Venturing, a Framework

Corporate Venturing Framework by Laurent Kinet

Corporate Venturing, a Framework is both a reference guide and a practical methodology for corporate-startup collaboration. It presents 100 real-world benefits and 50 collaboration models, helping organisations navigate this complex landscape with structure and clarity.


At its core is a cross-referencing canvas that enables teams to align objectives, formats, and outcomes — fast. Designed for innovation leaders, strategists, and transformation teams, it brings order to a space often cluttered by buzzwords.


The framework is grounded in field experience, not theory. It covers venture clienting, co-development, CVC, and more — with a focus on governance, cultural fit, and strategic intent.
Whether you're launching a program or challenging an existing one, this book is a tool, not just a point of view.


Accessible, actionable, and brutally clear about what works — and what doesn’t. Already used by corporates across sectors to sharpen decision-making and accelerate alignment.


Available in print and as part of select keynote and workshop formats.

Is the Computer the Ultimate Startup Analyst?

Novable Whitepaper

This white paper explores the growing need for smarter startup scouting in corporate innovation — and the shortcomings of traditional methods.


It makes the case for AI as a game-changer in corporate venturing, especially in identifying and matching startups to strategic needs. Based on 18 months of research and fieldwork with large companies, the paper introduces Novable’s AI-powered approach to startup sourcing.
It outlines the four key use cases of corporate venturing — monitoring, partnering, investing, and acquiring — and where current tools fall short.


The paper presents Novable’s model as a "Google, not Altavista" — a shift from keyword search to contextual, personalised, network-aware intelligence. It also unpacks the SAD syndrome (Spot–Analyse–Drop) and how AI can reduce wasted effort by up to 80%. Built on machine learning, network science, and real-time crawling, Novable redefines what startup scouting can be.


For innovation leaders, this white paper is both a strategic overview and a practical introduction to AI-driven innovation sourcing.