Financial Modeling Prep
Market data, financials, estimates
ADVYZE is in beta and available to select Deem Asset Management clients.
ADVYZE works two ways. As a research terminal, it puts financial statements, SEC filings, transcripts, press releases, and live market data in one place. For AI research, it automatically gathers the relevant documents for each request and applies the domain knowledge our system has built on that stock and its industry, then runs each analysis through the same four-stage pipeline.
SEC filings, earnings transcripts, press releases, financial statements, and analyst estimates, pulled automatically the moment providers publish.
The playbooks our system maintains on every covered stock, industry, and sector, so each analysis starts from institutional context, not a blank page.
Anthropic Claude works through the documents and the playbook the way an analyst would, executing structured research workflows.
Rule-based algorithms and a second AI reviewer fact-check the output before it reaches you.
Curated frameworks for the names we know best, with general-purpose research available for everything else.
Numbers are observed, not predicted. Every figure traces to a named source, and sources are cited on every AI output.
Market data, financials, estimates
Analyst estimate trends, EPS revision history
10-K, 10-Q, 8-K disclosures
Transcripts, press releases, slide decks
AI analysis, summaries
Investment research is the heartbeat of money management, yet for too long, the process has been a black box to the very investors it serves.
After twenty years in the investment community, working alongside sell-side analysts, institutional investors, and public company management, I realized the work was always the same. Bridging the gap between a fluctuating stock price and what a company actually does. That experience showed me what truly rigorous research looks like, and more importantly, how much of that process could be improved by the right technology.
When I launched my own investment adviser, Deem Asset Management, I gained the freedom to build exactly what I felt investors deserved. I wanted to solve two problems. The sheer volume of data that eats away at an adviser's day, and the lack of visibility investors have into how decisions are made.
ADVYZE was born from that motivation.
As AI reached maturity, we saw an opportunity to systematize professional research workflows. By automating the end-to-end research process, from data collection and organization to analysis and written output, we aim to free up time for the parts of investing that matter most. The judgment, the relationships, and the decisions that only a human can make.
From transcript summaries and revenue driver analysis to earnings previews and peer read-throughs, every tool is modeled on the workflows I ran as a sell-side analyst and investor relations professional, built to surface what a working analyst actually looks for. When data providers publish, whether it's SEC filings, earnings results, or press releases, ADVYZE has immediate access to analyze it. Research that used to take hours of manual gathering, available on demand.
Our goal is to build a reliable digital equity research department covering all 159 industries available through our data providers. We believe that when the research process is efficient, everyone gets back something that matters most. Their time.
Anthony Deem
Founder & Creator of ADVYZE and Deem Asset Management, LLC
Former sell-side equity research analyst and investor relations professional. Built ADVYZE to bring institutional analysis workflows to Deem Asset Management.
Email AnthonyNot everything on ADVYZE is AI. Traditional research on the platform, reading financial statements, filings, transcripts, and press releases straight from the source, involves no generation at all. The AI research layer builds on those same primary documents, and it has limits worth understanding.
ADVYZE validates AI research in two distinct ways. The first is traditional algorithms: exact rules and arithmetic, where the same data source input always produces the same answer. Before a request ever reaches the AI, these algorithms screen the source data itself. Accounting identities are recomputed, anomalies are corrected, and if the data is too thin to support the analysis, generation is blocked outright. After the AI writes, the numbers in its output are traced back to the source data and the arithmetic is rechecked; figures that don't trace are flagged.
The second is AI reviewing AI. A separate model, deliberately different from the one that wrote the analysis, re-reads the output against the same source data and flags mismatched numbers, unsupported claims, and trends described in the wrong direction. Its findings ride with the output, so you can see what was checked. Together these layers catch a meaningful range of issues, but they are not infallible.
AI-generated outputs may contain inaccuracies, incomplete analysis, or misinterpretations of source data. Our validation layers may not catch every error, particularly in areas like differences in accounting standards, incomplete information from complex filings, or analysis that is technically correct but lacks depth.
We are continuously improving our validation process, but no automated system can guarantee the accuracy of AI-generated research. AI-generated outputs are not personalized investment advice. ADVYZE is a tool to support the research process, not a replacement for professional judgment. Users should verify information independently and consult with a qualified adviser before making investment decisions.
Deem Asset Management LLC is a Registered Investment Adviser in Ohio and Maine. Registration does not imply a certain level of skill or training. ADVYZE is not a separate product or service. It is the firm's proprietary research platform, built to power how we deliver equity research to our clients using live financial data and structured analytical frameworks.
The platform has entered beta and is available to select Deem Asset Management clients. We are actively building, testing, and refining the experience.
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