Note: this site and the author does NOT have any financial relationship with the service provider being reviewed.
THREE POINT OVERVIEW:
1.) Portrait Analytics is an AI-powered research platform that assists public equity investors with idea generation, deep research, and position monitoring. The founding team incorporated investing experience at Baupost and Slate Path to design a platform that addresses some of the limitations and frictions of using general-purpose LLMs for investment research.
2.) Portrait features a built-in document library (including SEC filings, presentations, transcripts, and integration with Third Bridge expert network transcripts (separate subscription necessary; more expert network integrations coming). This library is utilized to create higher-quality, traceable outputs. Users also have the ability to toggle whether the platform accesses online news sources and web search results (where Portrait has done work to prioritize reputable content over internet noise). Portrait uses a mix of its own trained tools/functionalities and general-purpose LLMs to analyze the document library and web sources (if turned on). As part of the process on the back end, the platform breaks down tasks into sub-components and then routes these tasks to the best fit LLMs.
3.) After using Portrait over the past week, I found it to be very useful for identifying interesting set-ups, getting up to speed on “the story” of new names, and framing what one needs to believe for a trade to work. I think Portrait is best used as an assistant to an analyst, allowing the analyst to spend less time gathering and summarizing information for desktop research and more time (i) building/drilling down into a granular model and forecast scenarios if the idea is worth the time (note: Portrait is not a modeling tool) and (ii) driving additional research workflows (including further deep research + alternative data + “boots-on-the-ground” research) to dig further into the initial insights from Portrait.
DETAILED REVIEW:
I tested out Portrait’s Case Study, Screening, Deep Research, and Monitors features. Let’s go through each, with screenshot examples of the outputs.
1.) Case Study Feature:
This functionality is simple but very handy. It allows you to click through a historical price chart for a stock on a quarterly basis to get a quick download on the key events and narratives during each period. We’ll use Charter Communications (CHTR) as an example here (Figure 1). We can see that there was a sharp sell-off in Q1 2024, so when we click into that period, Portrait shows that there was a big miss on broadband net adds (-61k) vs. consensus (+12k), as shown in Figure 1. In hindsight, this was the first quarter of negative broadband net adds for CHTR and these declines have persisted since. Clicking through a time series like this is a pretty helpful way to gain an understanding of the “story” around a stock and its past movements.
As an analyst it was always burdensome to create annotated price charts with key news/events, so this feature can certainly streamline that task.
Figure 1: Portrait’s Case Study feature allows you to quickly get up to speed on the “story” of a stock by clicking through it’s chart.
2.) Screening Feature:
This functionality allows you to screen for new ideas using a combination of quantitative and qualitative criteria (via semantic search) to identify companies that fit a certain theme or trend. You can build custom screens, but in the interest of time I only tested out some of the pre-loaded screens in the system.
As an example, one of these pre-loaded screens was titled “New Product Launches Not Priced In”. This screen combined quantitative criteria (stock performance <0% over past year), with qualitative criteria that narrowed the search to companies that “…will soon be launching, or have launched within the most recent quarter, a discrete, significant new product, which has large upside potential for the entire company…and management must have explicitly quantified the expected opportunity from the launch, which must represent >10% of existing company revenue”
Moelis & Co (MC) is a company that comes up on this screen (Figure 2) - they launched a new secondaries/fund-level financing advisory business in 2025 and made some significant new hires for that franchise. This screen picked up management describing the opportunity as “a couple hundred million” on the Q2 2025 earnings call which would represent~17% of the revenue Moelis reported in FY 2024. Given the state of the private markets (exits hard to come by) this does seem like a pretty big potential opportunity at first glance (but perhaps the offset is a decline in traditional M&A volume/fees?). Either way, pretty interesting as this is not something that would have been picked up in a simple quantitative Bloomberg/CapIQ screen.
Figure 2: Sample Moelis & Co outputs from the screen. Portrait allows you to expand screening beyond traditional quantitative-data-only screens.
3.) Deep Research Feature: