Announcements · · 2 min read
Mindlapse recognized as Deeptech: what it really means
By Christophe LONGUEPEZ · Co-founder & CPTO
BPIFrance has qualified Mindlapse as Deeptech. Beyond the label, what it says about the problem we attack: bridging governance and operations with AI.
Bpifrance has qualified Mindlapse as a Deeptech company. Beyond the label, what this says about the problem we attack: bridging governance and operations through AI.
Mindlapse has received official Deeptech recognition from Bpifrance. Beyond the pride, the qualification validates something essential: the problem we attack, bridging cyber governance and operations through AI, is a fundamental one, demanding breakthrough technology.
What “Deeptech” really means
The Deeptech qualification rests on three characteristics: advanced technical complexity, significant barriers to entry, and the potential to durably transform an industry. It recognizes that organizations need a fundamentally new approach to connect what they declare with what is actually in place.
What makes Mindlapse a Deeptech
An AI-native, sovereign architecture
The platform was designed AI-native and sovereign from inception: it automates complex risk analysis while keeping human expertise at the center of decisions.
Connecting governance to operations
The core challenge: automatically verifying governance declarations against operational reality: continuous control validation rather than periodic snapshots that age the moment they are produced.
Co-creation with the field
The Cyber Collective Lab brings together 25 enterprise CISOs to co-design the product, quarter after quarter. True collaboration with practitioners, not a token advisory board.
What this recognition changes
- Access to Bpifrance’s innovation and support ecosystems;
- strong market validation towards our clients and partners;
- a signal to attract AI researchers and cybersecurity experts.
Our course
Our ambition is unchanged: enable CISOs to govern risk with the same clarity a CFO pilots finances: real-time verified data, and analysis that anticipates instead of merely recording.
