Portfolio Investing Is Safer Than Stock-Picking – But Still a Headache

01 /The Concept

In the investment world, an "index" is a curated, algorithmically maintained basket of public company stocks. Indexes were originally built to measure market-wide or sector-level trends – "the Dow Jones Industrial Average is down," "the NASDAQ Composite is up."

But some indexes became investment vehicles in their own right: people simply buy into the stocks included in a given index, in the proportions the algorithm specifies. When the composition or weightings change, they rebalance accordingly – selling some positions, buying others.

The most familiar is the S&P 500: the 500 largest public companies by market capitalization, weighted proportionally, as selected by S&P Global. Long-term evidence generally favors index investing over active stock-picking as a risk-adjusted strategy.

Since running the rebalancing mechanics manually is a hassle, investment funds typically pick or construct a base index and then do the portfolio maintenance work on behalf of investors who want exposure without the operational burden.

But the funds still have to do that work. That's the problem Panta built a platform to solve: it lets investment funds design their own indexes, backtest them against historical data, and then automate the ongoing rebalancing and operational execution.

Funds can build an index algorithm, run it against history to validate the logic, and flip the switch to let the platform maintain the portfolio automatically. If performance deteriorates, the algorithm can be updated – and all prior versions are preserved, supporting performance attribution and regulatory audit trails.

Because execution is automated, rebalancing can happen daily if needed, keeping portfolios in closer alignment with the index. The platform also supports "indexes of indexes" – meta-portfolios blending multiple indexes in algorithm-defined proportions.

External data feeds can be integrated to support more sophisticated index calculations, and corporate actions on included securities can be handled within the same system.

Panta doesn't design indexes itself. It's a platform for funds and asset managers to design, test, and run their own.

Founded in the UK, Panta launched its platform in 2024 and recently won two FStech Awards: Startup of the Year and Most Disruptive Innovation. Shortly after, it raised its first round – £3 million (roughly $4 million), half of which came as debt through the UK Innovations program.

02 /Why It Matters

Index investing is a major strategy in the asset management industry. The "index industry" accounts for €10.4 trillion in the UK alone and €103 trillion globally.

Despite that scale, most of the work involved in creating and maintaining indexes is still done manually – by investment managers and analysts working in spreadsheets or on aging platforms.

That gap has attracted attention. In 2024, MSCI acquired Foxberry and declared "index customization" the next technological frontier. S&P launched SPICE – a platform for tracking and customizing 400,000 existing market indexes. Merqube launched its own index-building platform around the same time.

Big market, painful workflow, growing vendor interest.

But the deeper story is more interesting. Investment indexes don't just reduce operational hassle – they address a *conceptual* problem in portfolio management.

Sophisticated investors stopped thinking in terms of individual stocks a long time ago. They think in terms of portfolios – collections of stocks that reflect a chosen investment thesis. The goal isn't to bet on specific companies; it's to gain exposure to the trend, sector, or theme those companies represent. Some holdings may decline while others rise, but a well-constructed portfolio tracks the underlying thesis across market conditions.

Even so, many investors and portfolio managers still run portfolios manually – adding and removing holdings, adjusting weights by gut feel or in reactive response to news and analyst commentary that may reverse itself the next week.

Better approaches use rigorous financial models. But when it's an individual investor managing one model, that's manageable. When it's an asset management firm running hundreds of models for different client mandates, the manual workload becomes enormous. Asset management headcount grew 30% between 2020 and 2024, partly reflecting exactly these scaling difficulties.

The logical conclusion: why not formalize portfolio management as index-following entirely? If every portfolio strategy is expressed as an algorithm – an index – then the whole thing can be managed automatically. Rebalancing, execution, compliance. All of it.

That's why Panta's tagline is "your vision, our technology to create and manage indexes" – wrapping any investment view into a formal index, then letting the platform maintain it without ongoing manual intervention.

A related approach is already working at the consumer level. Broker Public launched an AI-powered tool called Generated Assets ([related review](/review/kak-zarabotat-na-akcijah)) that lets any retail customer design, backtest, and invest in a custom index. The twist is that the criteria can be remarkably creative: "B2B companies that earn less than 10% of revenue from consulting," "companies with business models AI hasn't disrupted yet," "companies with more than 50 million social media followers," "subscription businesses with the lowest churn rates" – and so on.

03 /Opportunities

The market is now full of AI investing apps promising to help people pick winning stocks more accurately.

But as covered above, sophisticated investors don't think in stocks – they think in portfolios built around strategy.

Late last year, Fifr raised $1.5 million in its first round ([related review](/review/ty-doverish-ii-upravljat-svoimi-dengami)) on exactly this premise: clearly separate strategy from tactics. Users define their investment strategy in consultation with a human expert; the AI then executes it automatically.

But "choosing a strategy" is vague. It can mean almost anything and be implemented in almost any way. The cleaner version of this idea is to replace the fuzzy concept of "strategy" with the precise, formal concept of an "index." Then the imprecise strategy conversation becomes a structured selection from pre-backtested, formally defined index options – and the same platform that hosted the selection can maintain the portfolio automatically.

The future of intelligent investing looks like intelligent index construction: formalized strategies that can be maintained with far more precision and consistency than any manual process allows. Building those indexes well is itself a valuable discipline – and AI tools for doing it more creatively and rigorously represent a distinct opportunity.

For institutional asset managers, that means platforms like Panta. For retail investors and their brokers, it means something more like Generated Assets. Or AI investment advisors that are genuinely strategy-first – rather than another stock-guessing game.