Research & Development
From academic inquiry to working solutions.
Our long-term horizon is SuperIntelligence (SI): making advanced intelligent systems understandable, secure and beneficial. We pursue it through academic research and applied solutions research.
Two research tracks
Academic rigor keeps our solutions honest; real-world problems keep our research relevant.
TRACK 01
Academic Research
Rigorous, reproducible research in partnership with universities, scholars and research institutions.
- Research collaborations and co-authorship
- Literature reviews and state-of-the-art surveys
- Experimental design, data collection and analysis
- Reproducible code, datasets and publications
TRACK 02
Applied Solutions Research
Structured investigation of real organizational and community problems — tested before anything is built at scale.
- Problem discovery and feasibility studies
- Proofs of concept and rapid prototyping
- Technology evaluation and benchmarking
- Pilot deployments with measurable outcomes
Research areas
Where our academic and applied research is focused.
01
SI Interpretability
Making advanced intelligent systems understandable: how they reach their outputs, and how people can inspect, explain and trust them.
02
SI for Cybersecurity
Intelligent detection, automated response and risk management that keep people in control.
03
SI for Human Health Development
Applying intelligent systems to support health, wellbeing and human development — responsibly, privately and with measurable benefit.
04
SI for the Government of the Future
How intelligent systems can make public services more effective, transparent and accountable — and how governments can adopt them safely.
Supporting themes: trustworthy and responsible AI (guided by the NIST AI Risk Management Framework), technology access and inclusion, and IT leadership and digital transformation.
How we run research
01
Question
Define the research question and what success looks like, with the people it affects.
02
Investigate
Review existing work, gather data and design careful experiments.
03
Prototype
Build the smallest thing that answers the question — and test it.
04
Share
Document findings, publish where appropriate, and turn results into solutions.
Publications
Peer-reviewed and academic work from the Silicon Chase team.
Unifying risk management for AI-driven cybersecurity in finance
Issues in Information Systems, 26(2), 489–507
Published in
Our peer-reviewed research appears in academic venues including:
- Issues in Information Systems
Bring us a question worth answering.
Universities, scholars, non-profits and public bodies: let’s explore a research partnership.