If you have been following my work for some time, you know I’m a markets junkie.
I write a markets newsletter each morning, host an investing podcast, and post charts across my social channels every day.
What you may not know is that I also serve as Chief Market Strategist at the public company Silvia Inc. (Nasdaq: SVIA; formerly ProCap Financial (Nasdaq: BRR)).
The name change we recently announced reflects what we have increasingly become — an AI company focused on building the best personal finance super-intelligence product possible.
I have an unusual vantage point on Silvia because I’m both an employee and power user.
Of course I am biased, but I do use Silvia every day, and did so even before I joined the company just over five months ago.
My job(s) requires me to move quickly across markets, earnings reports, economic data and equity research. In addition to helping me manage my personal portfolio, Silvia has increasingly become part of my professional workflow.
I use it to interrogate financial data, pressure-test stock picks and get up to speed on topics before going deeper myself.
Markets produce an absurd amount of information every day. General-purpose AI makes sorting through it all much easier. But finance leaves little room for hallucinations, inaccurate numbers or fuzzy sourcing.
That is what we are trying to solve with Silvia.
Over the last six months, our engineering team has rebuilt much of the technology underneath the product around finance specifically.
Silvia now combines proprietary data pipelines with a system that coordinates different models, tools and agents, including Silvia Analyst, our quantitative finance specialist.
Silvia Analyst is also the engine behind the investment research division I oversee, Silvia Insights (formerly ProCap Insights).
OpenAI, Anthropic and Google are building extraordinary general-purpose systems capable of tackling everything from coding and science to poetry and healthcare. I use all these tools too.
But we are not trying to make Silvia do all those things at the same level. We are working to make it exceptional at only finance.
And the early results are promising.
Our team created public benchmarks covering taxes, mortgages and credit cards that grade AI products on accuracy and their ability to cite primary sources.
Silvia finished first across all three against major AI products, and we’ve open-sourced the benchmarks for anyone to verify.
To be clear, this is not to say that I believe investors should outsource their thinking and judgment to Silvia.
I actually think Silvia — and AI more broadly — makes personal discernment even more important. As access to high level analysis becomes cheaper and more pervasive, the information itself becomes less of an advantage.
But the investors who can avoid getting bogged down by taxes, paperwork and portfolio mechanics can spend more time on the human judgment component of investing.
Having an edge as an investor today increasingly means knowing what tools to use to bulletproof your decision-making.
This is how I think about Silvia.
It does not make decisions for me, but it does compress hours of work every week while giving me the most helpful possible context for how I can grow my wealth.
You can try Silvia for free here.
Let me know what you think. I will share any feedback with our engineering team so they can keep making the product better.
Phil Rosen
Co-Founder & CEO, Opening Bell Media
Chief market Strategist, Silvia Inc.
Personal views only. Not the views of Silvia, Inc. or its affiliates.