Genius Radar
A Data-Driven Insight Platform for
Precision Investment in Emerging Science & Technology
Where Modern AI Falls Short
Modern AI is undoubtedly great and mighty.
However, much that power serves trivia: a mere substitute for true social interaction and low-quality slop as entertainment. Meanwhile, there are plenty of vital areas where AI use is still shallow: healthcare and longevity; ageing and social security; reversing climate change and rational management of non-renewable resources; and, last but not least, sustainable, peaceful co-living of nations in relative modern abundance. In simpler terms: plastic is great; living in a plastic world sucks.
What We Aim to Achieve
No one can fix all that at once, but anyone can start small. Our focus is small but meaningful: venture financing and scientific communities. We are building an assistive research discovery & intelligence platform powered by modern AI and big data. It provides data-driven insights to help innovation hubs and capital providers identify and support emerging researchers at an early stage. Our long-term mission is to provide researchers with vital seed funding and resources to bring their ideas to life and to help investors make more targeted decisions. A win-win solution.
Years ago, all this sounded like fantasy; nowadays, it is far more feasible and takes even less effort than building gigawatt factories for generating cat videos we all like.
Why This Matters
Investors, agencies, and inventors ask the same three simple questions:
However, they answer them based on different data and priorities, leading to little overlap.
As a result, talents and groundbreaking technologies sometimes fall through, while hype attracts disproportionate attention.
How We Solve It
We repurpose the same cutting-edge technology that generates your favourite social posts and cat videos, but apply it to another, useful problem.
- We fuse diverse, mosaic, unconventional data sources into our research.
- We see what general-purpose LLMs miss; thus, we use more specific and advanced NLP pipelines for semantic, domain-specific, and social-signal analysis.
- We look far beyond cross-references, legacy rankings, and citations.
Value for Different Users
For Investors
- Earlier, more precise signals than general-purpose public LLMs.
- Our advanced filters remove AI-generated content while preserving genuine, high-value research, saving time and money.
- With curated metrics and filters, you do less manual research, focusing more on decision making.
- Less distraction from over-hyped and over-crowded topics, and more focus on privately appealing, hidden gems.
- Transparency: unlike some research evaluation/assessment providers, we use no proprietary methodology. We surface rich data insights; you remain the decision-maker.
For Innovation Hubs & Agencies
- Wider coverage with less effort, and better internal KPIs.
- Our advanced filters remove AI-generated content, while preserving genuine material, so agencies avoid awkward situations.
- With curated metrics and filters, you do less manual research, focusing more on networking and scientific community outreach.
- Less distraction from over-hyped and over-crowded topics, and more focus on publicly appealing, hidden gems.
For Researchers
- More accessible pathways to funding for genuine research.
- Merit-based visibility, not popularity-based.
- Allows researchers to focus more on what they do best, research, rather than spending time on self-promotion.
Where We Stand
- Little direct competition.
- Limited scalability: publishers, scholars, agencies, and venture capitalists each focus on different aspects and follow distinct approaches.
- General-purpose LLMs are too broad, delayed, and lack precision.
- There are plenty of SciTech tools; however, most are for researchers, not about them or their innovations.
Why We Care
Four simple reasons:
- We are investors ourselves.
- We want to discover talent and innovation opportunities more efficiently.
- We know how to leverage technology.
- We dogfood: developing and using our own product and metrics.