In an important development that’s set to transform how investors leverage artificial intelligence for stock selection, New Constructs, a Brentwood TN-based independent fundamental equity research provider, has announced a strategic partnership with Google Cloud. The collaboration, unveiled last week, introduces FinSights—an AI-powered agent designed to deliver actionable insights drawn from New Constructs’ proprietary data and Google Cloud’s cutting-edge technology.
The Launch of FinSights
As the financial industry grapples with the explosion of AI tools, FinSights stands out from the crowd by grounding its recommendations in rigorous, data-driven fundamentals. Built on Google Cloud’s Vertex AI platform and powered by Gemini large language models, the agent analyzes thousands of SEC filings, earnings reports, and balance sheets to identify stocks that beat the market.
FinSights leverages New Constructs’ proprietary financial data—including forensically adjusted financials and Core Earnings metrics—to deliver explainable, actionable insights into corporate performance, valuation, and risk. Unlike most opaque AI tools, FinSights ensures full traceability, linking every data point to original SEC filings for trusted decision-making.
Perhaps, the most important distinction of FinSights is that it provides insights and answers based on data that produces real alpha as proven by the outperformance of live-traded indices. Specifically, the data that drives FinSights is the same as that which powers the Bloomberg New Constructs Core Earnings Leaders Index (BCORET:IND), which recently turned 1-year old and is beating the S&P 500 by more than 900 basis points so far in 2025.
Over the last 5 years, the index (up 142%) outperforms the S&P 500 (up just 95%) even more strongly and beats it by 14,700 basis points. Bloomberg provides two other indices based on New Constructs research: Bloomberg New Constructs 500 Total Return Index (B500NCT:IND) and the Very Attractive Stocks Index, officially known as the Bloomberg New Constructs Ratings VA-1 Index (ticker: BNCVA1T:IND). Both strongly outperform as well.
Key features of the newly launched AI platform include natural language querying for rapid stock screening (e.g., identifying undervalued tech firms with high ROIC), automated model retraining via BigQuery ML, and seamless integration through APIs, data feeds, and a web platform. This secure, scalable architecture enables users to outperform traditional analyst reports by uncovering hidden risks and opportunities in thousands of stocks, ETFs, and funds. As Brad Little, VP at Google Cloud, noted, “AI can be a direct engine for advances in intelligent investing when powered by high-quality data.” Targeting hedge funds, RIAs, and portfolio managers, FinSights democratizes superior fundamental analysis, promising enhanced alpha in volatile markets.
About New Constructs
To fully appreciate the significance of this alliance, it’s essential to trace New Constructs’ journey from a Wall Street disruptor to an AI trailblazer. Founded in 2002 by David Trainer, the company emerged from Trainer’s frustration with the opaque and conflicted nature of traditional equity research. A former stock analyst with over six years on Wall Street, Trainer joined Credit Suisse First Boston in 1996 as a corporate finance analyst, where he honed his skills in dissecting financial statements and uncovering value discrepancies.
By 2002, amid the dot-com bust’s aftermath, Trainer saw an opportunity to leverage emerging technology to automate high-quality analysis. “I founded New Constructs to use the latest technology to identify every data point in SEC filings and uncover the truth about profitability and valuation,” Trainer has said, encapsulating the firm’s mission to strip away the biases plaguing sell-side reports.
Headquartered in Brentwood, Tennessee, New Constructs started small but quickly scaled its vision. Trainer, now CEO, assembled a team of analysts, engineers, and data scientists to build what would become the Robo-Analyst—a proprietary AI engine that parses footnotes, off-balance-sheet items, and other obscured elements in financial disclosures. This technology, refined over two decades, forms the backbone of the company’s offerings, ensuring analyses are unconflicted and comprehensive. Under Trainer’s leadership, New Constructs has grown into an independent research powerhouse, serving institutional investors, advisors, and individual traders alike.
At its core, New Constructs provides a suite of investment research tools and services centered on forensic accounting and discounted cash flow (DCF) valuation. The flagship product is its stock analysis software, which delivers ratings, reports, and alerts on over 10,000 stocks, 400+ ETFs, 7,000+ mutual funds, and thousands of debt issuers. Users gain access to economic earnings metrics—a superior alternative to reported GAAP figures—that adjust for distortions like pension obligations and acquisitions. The platform’s screeners allow customized filtering for criteria such as return on invested capital (ROIC), growth prospects, or valuation multiples, enabling users to build portfolios aligned with specific strategies.
Beyond ratings, New Constructs offers model portfolios like the Focus List (Long and Short), which have consistently outperformed benchmarks. For instance, the Long Focus List has beaten the S&P 500 by 19% from the start of 2021 through September 2024. The firm also provides consulting services for private equity due diligence and M&A, leveraging its AI to model cash flows with granular accuracy. Partnerships with platforms like Interactive Brokers integrate these tools directly into trading workflows, giving users real-time red-flag alerts buried in footnotes. In essence, New Constructs isn’t just selling data; it’s arming investors with a transparent lens to see through corporate spin.
The past twelve months have been a period of accelerated innovation for New Constructs, marked by strategic expansions and AI-focused advancements that culminated in the FinSights launch. Kicking off in late 2024, the firm enhanced its stock screener with new AI-driven features, allowing for more nuanced queries on earnings quality and capital efficiency.
A pivotal development came in early October 2024 when First Trust launched the FTCE ETF, the first U.S. exchange-traded fund to incorporate New Constructs’ proprietary data for selecting “Earnings Leaders” across sectors. This partnership validated the power of the signals produced by the firm’s proprietary ontology for fundamental data, screening for the top 30% of companies based on Bloomberg BICS classifications and Core Earnings metrics. It marked New Constructs’ entry into ETF construction, broadening its reach to retail investors via passive vehicles. It is worth noting that the ETF is dramatically outperforming the S&P 500 over the last 13 months.
This summer brought teasers of bigger things. On September 10, 2025, a live podcast delved into the Google Cloud collaboration, revealing how the partnership would create an “empirically proven ontology” for AI investing. This was followed by a September 19 announcement of the AI agent’s debut, positioning it as the “most reliable AI for investing.” October saw further refinements, including ICYMI summaries on screener enhancements and Q3 2025 ETF rankings, while a July 19 live session spotlighted an AI-vetted stock pick.
Our Take
The launch of FinSights arrives at an opportune moment. With markets at all-time highs and AI hype inflating valuations, investment tools like FinSights could help investors spotlight true economic value. Early adopters, including hedge funds and RIAs, report streamlined workflows and superior alpha generation. As Trainer noted in a press release, “Google Cloud chose us because our data is unmatched—now, their tech makes it unstoppable.”
Diving deeper into FinSights, the partnership exemplifies how New Constructs’ data moat complements Google Cloud’s infrastructure. The agent’s secure, scalable architecture leverages BigQuery for massive datasets and Gemini for natural language processing, enabling sophisticated queries from investors. Unlike generic AI chatbots, FinSights cites sources from parsed SEC filings, ensuring transparency. Trainer emphasized in a LinkedIn post: “This AI agent, built on our data that’s proven to pick stocks that dramatically outperform, will help investors navigate volatility with confidence.”
Looking ahead, this partnership positions New Constructs to expand into private markets and global equities, potentially integrating with more fintech ecosystems. For David Trainer’s 23-year-old brainchild, FinSights isn’t an endpoint but a launchpad—proving that in investing, the best constructs are built on truth, technology, and tenacity. As AI reshapes finance, New Constructs reminds us: sustainable outperformance starts with seeing the numbers no one else does.
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