Cutler Tech is a digital publication covering artificial intelligence, startups, developer tools, and the broader forces reshaping how technology is built and used. We're based in Ontario, Canada, and we operate independently — no investor agenda, no sponsored editorial.
We'd rather be right than first. When coverage requires verifying claims or seeking additional context, we do that before publishing — not after.
Our editorial decisions are made by our editors, not by advertisers or commercial partners. We disclose relevant relationships when they exist.
We write for people who are curious about technology and want to understand it better — not for people looking to confirm what they already believe.
A small group with broad coverage and complementary expertise.
Marcus has been covering the technology industry for over a decade, with a particular focus on AI development, platform economics, and technology policy. Before Cutler Tech, he wrote for several digital publications covering enterprise technology and regulatory affairs. He brings a cautious, analytical approach to stories that often attract more heat than light.
Priya covers the startup ecosystem, developer tools, and the venture capital landscape. She has a background in software engineering and has worked at several early-stage companies before moving to technology journalism. Her engineering experience shapes how she approaches stories about what's technically feasible versus what's being marketed as imminent.
Daniel focuses on cybersecurity, open source software, and the infrastructure that underlies modern technology systems. With a background in information security consulting, he brings practical knowledge of how systems actually fail — not just how they're supposed to work. His reporting cuts through vendor-driven narratives around security products and practices.
Natalie covers the intersection of technology and how people work, from remote work policy to AI ethics and the social implications of technological change. She has a background in organizational psychology and brings that lens to stories about how technology shapes — and is shaped by — human behaviour. She's based in Toronto.
Model capabilities and limitations, practical applications, policy developments, and the people and organizations shaping how AI is built.
The startup ecosystem, funding trends, product launches that matter, and analysis of what's actually working versus what's being hyped.
Threat landscape developments, policy and regulatory changes, security tools and practices, and incident analysis.
Languages, frameworks, platforms, and infrastructure that developers use — with attention to what actually improves the development experience.
How governments and regulators are approaching technology — antitrust, privacy, AI governance, and platform regulation.
How technology shapes how people work, the distributed work landscape, AI's impact on employment, and digital workplace culture.
We publish content that is factually accurate, clearly reasoned, and editorially independent. We distinguish between reporting, analysis, and opinion — and we label our content accordingly.
We do not accept payment for editorial coverage. Sponsored content, when it appears, is clearly labeled as such and is produced separately from our editorial team. We have a formal policy against editorial staff holding material positions in companies we cover.
When we make errors, we correct them promptly and transparently. Corrections appear at the top of the relevant article with a clear description of what changed and why.
We are committed to accuracy but not to the appearance of objectivity for its own sake. When evidence points clearly in a particular direction, we say so. Treating fringe positions as equivalent to well-supported ones in the name of balance is a form of inaccuracy, not fairness.
