James Dargan is a writer and researcher at The AI Insider. He focuses on the AI startup ecosystem, covering a range of topics including AI platforms, generative AI, and healthcare technology, all while maintaining an accessible tone for the average reader. His work has been featured in Space Impulse, Medium, Digital Twin Insider, The Quantum Insider, Community Advocate Newspaper, and AI Insider.
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James Dargan focuses primarily on scientific topics, particularly quantum computing and technological innovation. He frequently covers industry-specific developments and often includes expert commentary. Given this, he may respond well to pitches offering in-depth insights from scientists or technology experts involved in cutting-edge research related to quantum computing.
Since James does not have a specific geographic focus, he is likely open to receiving information from experts and companies worldwide who are at the forefront of advancements within the field of quantum computing and related technologies.
It is also important to note that James covers press releases extensively; therefore, relevant news or updates about significant breakthroughs in quantum computing could capture his attention.
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By: James Dargan
Situational Awareness, an AI-focused hedge fund led by former OpenAI researcher Leopold Aschenbrenner, is reportedly under investigation by the Securities and Exchange Commission following a sharp decline in its value. The fund, which had built its portfolio heavily around AI investments and experienced significant early growth, saw billions of dollars erased at the end of July amid a broader downturn in AI stocks.
By: James Dargan
Relativity Networks announced $22 million in SAFE note funding from Rhapsody Venture Partners, Bell Ventures, and Faster Than Glass, alongside a separate $40 million follow-on order from an unnamed hyperscaler, as the company works to address geographic constraints facing the data center industry, which is projected to spend up to $4 trillion by decade's end.
By: James Dargan
Situational Awareness, an AI-focused hedge fund led by former OpenAI researcher Leopold Aschenbrenner, is reportedly under investigation by the Securities and Exchange Commission following a
By: James Dargan
Insider Brief Robo.ai reported sharply higher first-half revenue and returned shareholders' equity to positive territory after disposing of its legacy Iconiq business and completing two
OpenAI has lost another senior leader, with Chris Malone, the company’s former head of data centers, departing last week, according to The Wall Street
Rillet, a San Francisco-based developer of AI-native enterprise resource planning infrastructure, has secured a $100 million Series C round led by ICONIQ,
By: James Dargan
Starcloud, a startup building satellites capable of performing AI inference in orbit, has added a $250 million extension to its March Series A round, bringing total funding to $420 million and valuing the company at $2.3 billion. The round was led by Manhattan West Ventures, with participation from Nvidia, which reportedly contributed $25 million, along with Cisco, Benchmark, EQT, Soma, NFX, 776, Cedar Capital, Goanna Capital, and Standard Capital.
By: James Dargan
Starcloud, a startup building satellites capable of performing AI inference in orbit, has added a $250 million extension to its March Series A round, bringing
By: James Dargan
Callosum, a UK-based startup, has raised a $100 million seed round to build an integration platform aimed at making AI and other compute-heavy workloads
The gap between what agentic AI promises and what most enterprises can actually point to has become the defining tension of 2026. Ask a leadership team whether the company is investing enough in AI agents and the answer is almost always yes. Ask which specific workflows are measurably better because of them, and the room tends to go quiet. That gap is not primarily a technology problem. Across the research on enterprise agentic deployment, a consistent pattern emerges: agents succeed when the underlying work is genuinely agent-shaped, and they stall when organizations skip the unglamorous groundwork of process design, data quality, and governance in favor of chasing the model itself.
