Math
Research and resources at the intersection of mathematics and transformative technology
Mathematical Breadth Powers Technological Depth
Deep Tech transcends traditional tech sectors, fundamentally transforming matter, energy, and even computation itself.
It tackles humanity's most intractable problems by fusing cutting-edge scientific research with ingenious engineering.
At the core of these transformative advances lies an essential catalyst: mathematics.
We seek out universal principles that remain invariant across space and time — archai — viewing them as fundamental keys to technological progress. By focusing on these foundational concepts that appear universal at human scales, we aim to unlock new pathways for technological advancement.
The relationship between mathematics and technology is so well-known that it's essentially taken for granted — rarely are the details explored or documented. Our research examines specific mathematical concepts that underpin transformative technologies, documenting clear pathways from theory to real-world impact.
Our work aims to strengthen the natural symbiosis between mathematical theory and technological innovation, where advances in one domain catalyze progress in the other. We develop frameworks to deliberately harness more of mathematics' untapped potential in shaping physical reality, while respecting the role of empirical discovery.
We create specialized resources for mathematicians seeking to translate their expertise into technological breakthroughs beyond academia. Our resources are rooted in deep research and recognize the unique perspective mathematicians bring to problem-solving.
Mathematics is the skeleton key that unlocks the mysteries of existence, a universal language that frees us from the limitations of conventional thinking, opening doors to technological advances previously deemed impossible.
Maximize Your Impact
Your passion for mathematics likely began with a profound desire to understand the universe.
Now, deep tech presents an opportunity to move beyond understanding the universe to actively shaping it.
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robotics
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semiconductors
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advanced materials
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energy storage
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genomics
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foodtech
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quantum computing
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photonics
Your Deep Tech Journey Starts Here
Drawing from an extensive survey of over a thousand Deep Tech companies, we've distilled insights on in-demand roles and the transformative solutions they're building.
We've created essential resources to help mathematicians navigate the transition from academia to deep tech. From industry guides to role breakdowns and application strategies, everything you need to begin your journey is right here.
Discover Your Mathematical Edge
Your mathematical knowledge is just the beginning. Explore 70+ transferable skills that set you apart in the deep tech landscape.
Mathematical Skills
Dynamic Tools for Professional Success
Strategic & Operational Skills
Mathematicians possess significant ability to strategize and make things happen.
Conceptual & Applied Skills
These abilities make you a powerhouse in both technical and strategic roles.
Deep Problem-Solving Acumen
The wellspring of innovation, empowering mathematicians to glimpse the fundamental truths that shape our reality.
Find Challenges that Ignite You
Go straight to the edge of the technological frontier: navigate profiles of groundbreaking solutions from over 1000 companies shaping the future.
Solutions Being Built
Deep Tech Solutions being Built
The Deep Tech Ecosystem Map
1000 solutions built across 81 subsectors, 20 sectors, six categories.
/compute
/materials
/infrastructure
/agritech
/spacetech
/data & ai
/hardware
/robotics
/energy
/biotech
/defense tech
/edtech
/manufacturing
/climate tech
/logistics
Chart Your Unique Trajectory
Your ideal role in deep tech is waiting to be discovered — explore 50+ career paths extremely well-suited to your mathematical background.
Career Tracks
Technical and Nontechnical Deep Tech Career Tracks
Coding-Optional Paths
Programming isn't your thing? No problem. Our guide will help you build a fulfilling deep tech career without writing a single line of code.
Nontechnical Career Tracks
Minimal to No Coding Required
Ready to Transform Theory into Technology?
Explore our curated resources to start your deep tech journey