About Us
Decision Clarity exists because the tools for rigorous thinking should not be reserved for those with the biggest budgets.
Our Mission
The methods behind Decision Clarity are not new. Structured analytic techniques, probabilistic forecasting, Bayesian updating, and causal reasoning have been developed and refined over decades in intelligence analysis, clinical research, and policy evaluation.
What is new is making them accessible. These tools have historically required specialized training, expensive software, or institutional backing. Decision Clarity wraps them in a conversational interface that anyone can use, without sacrificing the rigor that makes them valuable.
The platform uses a chat-first design that toggles to a structured decision engine when questions involve predictions, tradeoffs, or uncertainty. Simple questions get simple answers. Complex decisions get the analytical depth they deserve.
Every analysis comes with visible reasoning chains. No black boxes.
Built on established analytical frameworks from intelligence and research communities.
Designed for people who need powerful tools, not people who already have them.
A normative firewall separates facts from values. The platform informs your decisions without making them for you.
The Team
Founder
Katherine is the founder and architect of Decision Clarity. Her work sits at the intersection of civic technology, decision science, and AI accountability. She identified the decision intelligence gap after experiencing firsthand how consumer AI tools fail people during high-stakes, time-sensitive situations while institutions have access to far more sophisticated analytical infrastructure.
She brings a distinctive combination of pattern recognition, systems thinking, and practical business execution. Before Decision Clarity, she built and scaled En L'Air Dancewear, achieving top seller status through strategic positioning and operational discipline. Her background includes commercial real estate management, international business operations, and deep engagement with the European civic tech ecosystem.
Katherine designed Decision Clarity's core architecture: an 18 to 34 component system featuring Bayesian updating, causal inference, evidence grading, and a normative firewall that enforces the principled separation of facts from values.
Data Scientist & ML Engineer
Berlin, Germany
Data science professional with deep expertise in machine learning, deep learning, and statistical methods. Daniele brings rigorous analytical depth and practical implementation experience across the full data science lifecycle, from concept development to model deployment. His background in communicating complex technical concepts to diverse audiences strengthens the platform's commitment to accessibility.
AI/ML Engineer
Minsk, Belarus
Machine learning engineer with strong practical experience applying advanced deep learning and statistical methods to real-world problems. Timur specializes in computer vision, image segmentation, and building AI-powered systems, bringing hands-on expertise in designing and deploying scalable ML solutions. His background spans bioengineering, bioinformatics, and industrial applications of AI.
Decision Clarity is in active development. We welcome conversations with funders, researchers, civic technologists, and anyone who believes decision support should be accessible to all.
Get in Touch