Dedale Leadership Stories with Julia Reulet, Managing Director & COO
Discover how Dedale scaled profitably by combining research excellence, playbooks, KPIs, and an AI-first operating model
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Building for Scale starts with Long-Term Vision
Scaling a knowledge-intensive business while maintaining excellence is one of the hardest challenges for any organization. In this interview, Julia Reulet, Managing Director & COO at Dedale Intelligence, shares how the company built a scalable, efficient, and high-performing operating model, without compromising on research quality.
🎥 Watch the full interview below.
One of the first foundations of Dedale’s growth was defining a clear long-term strategy for the research organization. Rather than focusing on short-term execution, the leadership team designed a model that could scale sustainably over time.
This meant:
- Hiring people who could grow with the company
- Developing internal experts into topic leaders across B2B software and technology
- Ensuring research quality remained consistent at every stage of growth
From day one, the goal was not just to grow faster, but to grow better.
Standardization as a Growth Enabler
A key pillar of Dedale’s scalability lies in standardization. Over the years, the company has heavily invested in:
- Templates for research delivery
- Processes documented across teams
- Playbooks for every department
This approach ensures that new team members can onboard quickly and deliver at the same level of excellence as more senior colleagues.
“At any layer of the company, we always have the same output quality.”
Standardization doesn’t limit autonomy, it enables it.
Scaling with Financial Discipline and KPIs
Growth at Dedale is always approached with financial rigor. Every strategic decision is evaluated through an ROI lens, ensuring that scaling remains both profitable and sustainable.
Operationally, the company runs with:
- KPIs across all functions
- Clear performance tracking
- Data-driven decision-making at every level
This combination allows Dedale to scale efficiently while staying fully aligned with its strategic objectives.
An AI-First, Human-Centric Model
Dedale has embraced an AI-first mindset across new projects and workflows. AI is used to improve speed, efficiency, and leverage, but never to replace human expertise.
Instead, AI enables analysts and researchers to:
- Focus on higher-value insights
- Increase productivity
- Deliver deeper strategic intelligence
The result is a model where technology amplifies human talent rather than substituting it.
Culture: Growth, Depth, and Warmth
Behind Dedale’s operating model is a strong cultural foundation built on three core values:
- Growth – continuous learning and ambition
- Depth – intellectual rigor and expertise
- Warmth – trust, transparency, and collaboration
The company promotes autonomy, agility, and entrepreneurial thinking. Team members are encouraged to drive their own growth — and challenge existing ways of working when needed.
Transparency plays a central role: teams are regularly aligned on financial performance, operational metrics, and short-, mid-, and long-term strategy.
Scaling Globally with Multicultural Squads
With teams across Paris, Vietnam, and the Philippines, Dedale operates through a squad-based model. Each new initiative or project is run by multicultural squads, ensuring:
- Global alignment
- Local expertise
- Strong cross-team collaboration
This structure allows Dedale to serve international clients while maintaining speed and cohesion.
What’s Next for Dedale Intelligence?
Looking ahead, Dedale’s next phase of growth focuses on:
- Expanding in the US with a local presence
- Accelerating partnerships with corporate clients in the B2B software ecosystem
All while continuing to scale profitably, independently, and with a long-term vision.
From a small entrepreneurial team to a global strategic intelligence platform, Dedale’s journey is a story of disciplined scaling, strong culture, and execution excellence.
🎥 Watch the full interview with Julia Reulet to learn how Dedale builds for scale and for the long run.
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