Most stock research tools make one of two mistakes. They either dump raw data on you and expect you to figure it out, or they hand everything to an AI and ask you to trust a black box. Neither approach builds real conviction. Qualtix takes a different position: a deterministic, rules-based model produces every score and verdict, and AI steps in only to explain what those results mean in plain English.
That distinction matters more than it sounds. When a score comes from a fixed set of rules applied consistently across 1,000+ US stocks, you can interrogate it. You can ask why a company rated poorly on valuation even while its business quality looks strong. The model gives you a structured answer. The AI just makes that answer easier to read.
Founder Gil Levy built Qualtix because he kept running into the same frustration: tools that either gave too much noise or too little transparency. The result is a platform that evaluates business quality, valuation, entry timing, and risk context as separate dimensions, then turns scattered stock research into a clear, repeatable workflow investors can use before making decisions.
What the Qualtix Model Actually Measures
Business Quality Scoring
This is the core of the model. Qualtix checks cash flow, margins, return on invested capital, growth consistency, and balance sheet strength. Valuation is deliberately excluded from this score so a premium-priced company is not penalized simply for being expensive. Quality is quality. Price is a separate question.
Valuation Context
Once business quality is established, Qualtix checks whether the current price is reasonable for what the business actually is. A strong company priced at a stretch can still get a limited verdict. Valuation can improve or constrain the final rating, but it never overrides the quality assessment entirely.
Entry Timing Analysis
This dimension adds setup context. Is the stock extended, or is it in a constructive position for sizing? A low entry timing score does not mean the company is bad. It means the timing is poor. That separation prevents a temporary technical weakness from looking like a fundamental problem.
Risk and Data Quality Flags
Every analysis includes flags that explain what limits confidence in the verdict. Thin data, unusual values, or missing filings get surfaced here. The model is designed to tell you when it does not have enough to work with, which is itself useful information.
A Realistic Qualtix Workflow: PLTR Before the Market Opens
Imagine researching a stock like PLTR before the market opens. In most tools, you would jump between charts, valuation metrics, financial statements, analyst notes, and market noise before forming a view.
In Qualtix, the workflow starts with one ticker. The model separates business quality, valuation, entry timing, and risk, then turns that into a structured research brief in under a minute.
That is where the product becomes useful: it does not just say “buy” or “sell.” It shows where the opportunity is strong, where the setup is weak, and what deserves a second look before making a decision. From there, users can compare another stock, add the name to a watchlist, or monitor future model changes.
How a Qualtix Research Session Works
Step 1: Enter a Ticker
Type any US stock ticker into the analysis tool. The model fetches financials, scores the core dimensions
, applies risk and data quality checks, and generates the verdict. No inputs required from you. The model does its job.
Step 2: Read the Research Brief
The output is a structured brief: business quality score, valuation label, entry timing score, risk notes, data quality context, and an AI-written explanation of what the model found and why.
The explanation is grounded in the model output, not generated independently.
Step 3: Go Deeper with the Workflow
From here you can compare two stocks side by side, run the daily screener across 1,000+ names ranked by model signal, check portfolio exposure across your holdings, or ask Qualtix Coach a specific question using real model data. The workflow is linear and repeatable, not a collection of disconnected features.
Qualtix Pricing
Qualtix currently offers a founding member price of $9.99 per month, with full pricing planned at $17.99 per month after the early access period ends. A 7-day free trial is available with no credit card required. The paid plan includes the full screener, stock comparisons, watchlist, portfolio analysis, Portfolio Builder, Qualtix Coach, live model simulations, and daily and weekly briefings by email and PDF.
Who Should Try Qualtix
Qualtix is built for self-directed investors who research US stocks and want a more structured way to evaluate ideas before making decisions. It is especially useful for investors who currently jump between screeners, charts, financial statements, analyst commentary, and spreadsheets.
Qualtix also publishes internal backtest results for its model, including historical results where Strong Buy-rated stocks outperformed SPY in 8 out of 9 years between 2017 and 2025, with an average alpha of +22.3%. That does not guarantee future returns, but it does show that Qualtix is not just another AI wrapper. The model is tested, structured, and transparent about what it is trying to measure.
For self-directed investors who want more than a screener and less guesswork than a black-box AI tool, Qualtix is worth watching. The simple idea behind the product is also the strongest one: the model scores, AI explains.
