Portrait Analytics, a developer of a generative AI platform for investment research and thesis creation, announced it had added $7 million in new funding. The funding round was led by Unusual Ventures, with participation from existing investor .406 Ventures and select hedge fund professionals. The investment brings Portrait’s total capital raised to $10 million.
Before the advent of the internet, a significant challenge investment analysts faced was limited data availability. And that has changed in recent years, with access becoming much easier. The core constraint on productivity is analysts’ fixed mental bandwidth to process this enormous corpus to extract key learnings and insights to build an investment thesis. Consequently, analysts face the trade-off of either spending excessive time focused on a tiny fraction of the investable universe to deeply understand a few companies or taking costly shortcuts in their research to cover a broader range of businesses.
The company resolves this fundamental tension by augmenting every analyst’s research bandwidth by an order of magnitude. And Portrait’s idea generation tool helps analysts sift through thousands of companies to find the most potent ideas for their investment style. After identifying a company of interest, analysts go from beginner to ‘sector specialist’ in record time by reading Portrait’s ever-green, comprehensive research and asking Portrait’s generative AI platform to answer challenging research questions.
Portrait was co-founded in 2022 by David Plon, CEO, a former principal on the public markets team at Baupost, and Connell Gough, a full-stack developer with extensive search experience who also leads Portrait’s engineering team. Portrait’s founding engineering team includes AI leaders from Amazon, Bloomberg and Twitter.
KEY QUOTES:
“The job of an analyst is to discover and build conviction in investment ideas. The rate at which analysts can generate high-conviction investment theses is driven by their speed of learning. The problem which all analysts face today is that the research process designed to generate these learnings is largely manual and full of friction. AI has the potential to act as a bandwidth multiplier but that won’t be achieved by simply bolting ChatGPT onto existing products and data flows. The AI-powered application that will make this future a reality will need to have deep expertise on how to think like a well-trained analyst, be delivered in a UX that fits neatly into the analyst workflow, and above all else, be factual and trustworthy. This is precisely what we’re building at Portrait.”
“As soon as we met with Lars and the team at Unusual Ventures, it became clear that there was a tight alignment in our visions for the product and company we’re working to build. We couldn’t be more excited to be partnering with Unusual Ventures to accelerate our development of the platform.”
— David Plon, CEO at Portrait Analytics
“Modern large language models have powerful reasoning capabilities and the potential to transform research-driven workflows. But off-the-shelf implementations of these models, such as ChatGPT, lack the domain-specific expertise, data and user-interface to meet the full set of needs of professionals in the investment research field. Portrait is purpose-built to unleash the power of AI for analysts and investors. Its orchestration of models produces powerful, trustworthy output across all stages of the research process.”
— Lars Albright, General Partner at Unusual Ventures
