Whitepapers, reports, market analysis, and announcements from the Noonum team.
Thematic investing has an execution problem. Noonum's deterministic knowledge engine and MerQube's index infrastructure turn plain-language themes into reproducible, rules-based benchmarks that catch names LLMs miss.
For institutional investors, Point-in-Time capability is not a nice-to-have, it is essential. Noonum builds PiT into every layer of the stack so thematic signals are deterministic, backtestable, and free from look-ahead bias.
Omega Point and Noonum announce that their full thematic workflow is now available inside the LLM investors already use, from plain-English theme to actionable, risk-aware trade via MCP.
In fifteen months, companies aligned with AI Power and Energy grew from 269 to 501. The linguistic signal rose 82%, and the companies leading that language shift outperformed the S&P 500, utilities, and dedicated AI-power ETFs.
Six of the nine largest growth ETFs are thematically identical. Two are hiding a biotech story. One is quietly one of the largest agricultural tech vehicles in the market. And not a single fund tells you any of this.
Power and Energy returned +264%, the top AI sub-theme of the past year, yet average alignment across mainstream AI ETFs was just 2.3%. The companies powering AI are not classified as AI companies.
The top-performing 'AI' fund of the past year returned 153%, and it is not an AI fund. We X-rayed eight AI and technology ETFs through Noonum's linguistic lens and found the AI label explains just 8% of returns, while Chips & Compute alignment explains 90%.
Not all AI companies are created equal. Noonum's Five-Layer Framework classifies the AI ecosystem from Power & Energy to Applications & Services, revealing where thematic signal and portfolio returns truly diverge.
Private credit is one of the hottest topics in finance. Noonum AI analyzed the expanding ecosystem and assembled a 104-holding Private Credit Basket spanning specialist managers, global asset managers, banks, and platform enablers.
MerQube and Noonum partner to bring agentic AI and machine reasoning to thematic index creation, combining Noonum's semantic knowledge engine with MerQube's institutional index infrastructure.
A systematic analysis of how specialized AI tool suites are impacting business models and creating margin headwinds for traditional SaaS.
Using Noonum Knowledge Graphs to identify business opportunities arising from geopolitical shifts and political access.
Examining the divergence in ESG and Anti-ESG indexes through linguistic analysis of corporate positioning and political shifts.
Omega Point and Noonum announce a strategic partnership integrating Noonum's 100+ custom thematic indices into the Omega Point platform for enhanced thematic risk management.
An evolution of the foundational beta concept, measuring company alignment to themes through language rather than just price kinetics.
A novel way to measure the momentum and durability of investment ideas purely from a linguistic perspective, acting as an early thematic radar.
Quantifying political rent-seeking through corporate signaling to identify companies with strategic connections to government appointees.
Analyzing the top-line uncertainty and margin risks created by competitive, low-cost LLM alternatives in the AI value chain.
Credem Group closes the first deal of their Corporate Venture Capital initiative with an investment in Noonum through the Franklin Templeton Silicon Valley FinTech Incubator.
Noonum has been accepted into EvoNexus' Silicon Valley Fintech Incubator, backed by founding partners Franklin Templeton and Royal Bank of Canada.
