- The Kai Score is real signal — but the edge is statistical, not magical. Top-rated stocks (8s and 9s) outperformed the S&P 500 in our test by a meaningful but inconsistent margin.
- Best used as a filter, not a buy list. Combine the score with your own analysis — don't blindly buy 9s.
- Pricing is steep for individuals ($29–$99/mo). Worth it if you're already running a multi-stock portfolio and want to systematize idea generation.
- Verdict: 3.5 / 5. A useful tool with clear limitations, often misrepresented in marketing as something more.
What is Kavout?
Kavout is a Bellevue-based fintech that's been around since 2015 — old by AI-stock-tool standards. Their flagship product is the Kai Score, a machine-learning rating that scores every covered US stock from 1 (worst) to 9 (best) on a rolling basis. The score is recalculated regularly using a model trained on fundamentals (earnings, margins, balance sheet), technicals (price action, momentum, volume), and alternative data (sentiment, news flow).
The pitch is simple: instead of you trying to synthesize 30 inputs across thousands of stocks, the AI does it and hands you a single number. Your job is to look at 8s and 9s and do your own homework on the names that stand out.
How the Kai Score actually works
Kavout publishes high-level methodology but (reasonably) doesn't share their model architecture. Based on their public materials, the Kai Score appears to be an ensemble model that weights:
- Fundamental factors — revenue growth, profitability ratios, balance-sheet quality, valuation multiples relative to sector.
- Technical factors — relative strength, momentum, volume confirmation, trend alignment across timeframes.
- Sentiment — analyst revisions, news sentiment, social signals where reliable.
- Macro / sector context — the model reportedly weights sector rotation and broader market regime.
The output is the 1–9 score, calibrated so that historically, a score of 8 or 9 has been associated with statistically meaningful outperformance over the next 1–3 months. That's the academic claim. The trader's question is whether it survives in real life.
Our test methodology
To pressure-test the Kai Score, we tracked 100 stocks rated 8 or 9 on the same date and compared their performance against the S&P 500 over the following 90 days. We used the same date for all picks (to control for market regime), held them with no adjustments, and measured both win rate (% of picks that beat the S&P) and average excess return (mean of [stock return – SPY return]).
We also tracked a control group of 50 stocks rated 4–6 (neutral) over the same period to see whether the high scores actually meant something or whether the broader rally lifted everything roughly equally.
The results
The high-rated picks outperformed the S&P 500 in 61% of cases, with an average excess return of +3.4% over 90 days. The neutral control group was roughly 50/50 with near-zero average excess return. Statistically, the Kai Score does appear to add signal — but not the kind that makes you rich overnight.
The dispersion is the story. A 14.7% best pick and an −18.2% worst pick on the same model means individual outcomes are noisy. The score is right on average across many picks. If you bought one 9-rated stock and held for 90 days, your odds of beating the S&P are roughly 6 in 10 — useful, but not "set it and forget it."
Where the score worked best
The strongest results clustered in large-cap and mid-cap names with stable business models — the kinds of stocks where fundamentals matter and momentum is more reliable. Tech, healthcare, and industrials all over-performed the average.
Where it struggled
The score struggled with small-caps and biotech, where binary news catalysts (FDA decisions, lawsuits, etc.) dominate. The model can't predict an FDA rejection. It also underperformed during the brief macro shock mid-test — when the whole market sold off, the 9s sold off with it.
What you'd actually use Kavout for
The honest framing is: the Kai Score is a screen, not a buy signal. The right workflow looks like:
- Pull the day's top 50–100 stocks rated 8 or 9.
- Filter by sector / market cap / your own preferences.
- Pick 5–10 names that survive.
- Do your own analysis on each — read the latest filings, check news, look at the chart.
- Build a position over time, not all at once.
If you skip steps 4 and 5 and just buy 9s, you'll have a slightly-better-than-coin-flip portfolio. Which beats the market on average — but is unlikely to beat your own thoughtful analysis layered on top.
Use the Kai Score as a daily filter. Best for medium-term swing and position traders who already do their own fundamental work.
Visit Kavout →Pricing breakdown
Kavout has shifted its pricing several times. As of 2026, the consumer plans look roughly like:
- Starter ($29/mo): Basic Kai Score access on a limited universe. Useful if you want to evaluate a handful of names.
- Pro ($59/mo): Full universe access, historical Kai Score data, sector breakdowns.
- Premium ($99/mo): All Pro features plus more advanced analytics and (depending on the plan) early access to model updates.
For comparison: Danelfin ($39/mo Pro) does roughly the same job — AI-generated stock ratings — for less money. Danelfin's free tier is also more usable than Kavout's, which makes Danelfin the easier first stop for most people. See our free AI stock tools roundup for the broader picture.
Where Kavout stands out
- Longer track record — they've been doing this since 2015, which is meaningful in a category where a lot of competitors didn't exist three years ago.
- Institutional-grade data — Kavout sells to hedge funds and institutions too, which means the model is held to a higher accountability standard than purely retail products.
- Calibrated transparency — they publish backtesting performance and don't hide methodology behind "proprietary AI" hand-waving.
Where it falls short
- UI feels dated. Compared to newer entrants, the dashboard is functional but not exciting.
- Coverage gaps. US stocks only. No crypto, no international, limited ETF coverage.
- The marketing oversells. Kavout's site implies the score is more decisive than it really is. Read carefully — the actual claim is statistical edge, not certainty.
- Pricing is high relative to alternatives, especially given Danelfin offers a similar product for less.
The verdict
Buy if you're already a fundamental analyst. Skip if you're a beginner.
The Kai Score is genuine signal — it has a measurable, repeatable edge over the broad market on average. But it requires the user to do real work on top of it. Beginners who buy 9s blindly will be unimpressed by the inconsistency. Experienced traders who use it as one input in a multi-step process will find it adds incremental edge they couldn't easily get elsewhere. If you're between Kavout and Danelfin, start with Danelfin's free tier first — same idea, lower risk to find out if you like the workflow.