Hello, our name is... Consilience AI
We have built scalable and explainable AI solutions to deliver mission critical insights by uncovering hidden relationships in data.
How do you generate Alpha when the world is changing faster every day?
Consilience is redefining the data overwhelm problem by uncovering critical hidden relationships that will shape the future of your industry. We give you a powerful new way to digest millions of data points in your field of knowledge and understand which combinations of ideas are the newest and most actionable.
What makes Consilience AI solutions so powerful?
1. Hidden Relationships
No one can know everything. No one can read everything. But can you give somebody insight into something hidden? That’s a new kind of competitive advantage. The challenge for decision-makers today isn’t just that the important relationships and trends are hidden from view under piles of data. It’s that the existing tools for sifting through that data show you what was important at one time. They tell you what everybody else already knows. You need a tool to uncover and predict the future of those hidden relationships.
2. Evolution
The Consilience Engine was conceived out of our lifelong drive to understand how ideas evolve and how to make smarter, more timely choices about the ideas that deserve greater investment. So we deeply understand the frustrations encountered by professionals in investing, R&D management, and adjacent fields as they attempt to use existing tools to suss out promising concepts or identify possible new investments or research programs. The Consilience Engine is able to identify the major convergence of ideas across domains and forecast how those ideas would co-evolve.
3. Engineering
Our approach allows us to significantly compress the design and implementation cycle of specialized complex natural language processing signals. Furthermore, recent years have seen manifold advances in the ability to process and analyze semi-structured and unstructured data at scale through automated text analysis and pattern recognition. In turn, tried-and-tested methods from fields like Bayesian statistics and information theory are proving successful in gleaning insights from this new genre of data. Extremely diverse data can now be processed using the same methods Claude Shannon applied to structured signal data in the mid-twentieth century.
Why We’re Here
We dwell at the places where math, physics, biology, philosophy, and art overlap, and we have a culture that emphasizes hard engineering over traditional computer science or IT. We care about reliability, so we reject statistical methods that require the use of samples, estimates, and uncertainties and that require a host of assumptions that break down in the real world. The Consilience Engine measures real relationships in the data. In that sense, what we do is far closer to physics than statistics. We care about explainability, so we employ first-principles mathematics and exclude methods that operate in black boxes and are subject to all the biases inherent in their training data. We care about ease of use, so we are giving the engine simple, intuitive UI and UX that will make the engine accessible to users with varying kinds or levels or expertise.
Learn more about our solutions in Finance: https://consilience.ai/finance.