Marjorie Janiewicz of Mistral AI: flipping the adoption curve - why SaaS with data can win in an AI world
Orbit - An Hg software leadership podcastShow Notes
Marjorie Janiewicz has sold enterprise software through every platform shift for three decades: Oracle, MySQL, SAP, MongoDB, HackerOne. Now as Chief Revenue Officer at Mistral AI, she's taking a French startup from zero to $400 million in 18 months, closing deals with ASML and HSBC in under a year - timelines that used to take half a decade. Recorded in New York as Mistral announced its Finance offering, this conversation addresses what's working versus what's theatre in enterprise AI.
Marjorie supports the MIT hypothesis: 95% of AI projects never reach production. Chatbots drive adoption but don't change businesses. The 5% that work? They start with one high-impact use case, they customise models with proprietary data, and they deploy on-prem where regulated data lives. She explains why the adoption curve flipped, why SaaS companies sitting on data can win if they treat AI as transformation not automation, and why Mistral bet on 400 forward deployment engineers instead of just shipping models. From prototypes done in 48 hours to why "sovereignty is just marketing, independence is what matters," this is pattern recognition from someone who's been in the room when the shift happens repeatedly. Whether you're a SaaS company worried about agents or trying to sell AI to enterprises struggling with ROI, Marjorie's earned her perspective.
More from Orbit - An Hg software leadership podcast
What does AI have to prove when the buyer is a CFO? Elias Apel, CEO of Lucanet, answers from both sides of the table: he was a Lucanet customer, then its CFO, and now leads the company as it brings AI agents into finance and tax teams. Host Sebastian Zureich of Hg asks where AI can stand alone, where it cannot, and what a sceptical buyer demands of any software vendor.
Published in a week when Lovable's valuation doubled to $13.3 billion, up from $6.6 billion in December, this episode presents Ryan Meadows story of joining Lovable as a customer before becoming its Chief Revenue Officer, and how that experience shapes everything about how he thinks about AI, growth and the future of software. Hg's Tim Harrison sits down with Ryan to explore how they reached $400 million ARR in just 15 months, what it means to build an organisation entirely without legacy tooling, and why Ryan thinks most enterprises are still barely scratching the surface of what AI can do for their people.
Every December, Rob Toews publishes ten AI predictions in Forbes, then comes back a year later and grades himself in public. That habit of putting a stake in the ground, and owning the misses, makes him one of the more interesting voices in the space. In this conversation with Jon Wulkan, he explains why the frontier has narrowed to a handful of Western labs, why even well-resourced challengers have struggled to keep pace, and why the much-feared "SaaS apocalypse" is probably overdone.
In this episode, John Cranmer is joined by Gil Elbaz, Co-Founder and Chief AI Officer at Onyx Security, the company building the secure AI control plane for the agentic era. Gil, formerly in the CTO office at Nvidia working on multi-agent infrastructure, argues that the AI attack surface has fundamentally changed. The old boundary between what is yours and what is not has collapsed, and every agent, every MCP, every tool connection is now part of the perimeter.
The inventor of DevOps explains why AI needs engineering rigour and human collaboration.