Kavout vs SigFig: Which Is Better in 2026?

Figures and features are point-in-time and change; treat the table as a starting map, not a live quote.

AI Kai Score ratings and quant signals with an institutional lean. Best for data-oriented investors.

How it works: Kavout applies machine learning across fundamentals, technicals, and alternative data to generate the Kai Score, a numerical equity rating, alongside other quant factor signals. You use the ratings and signals as research inputs to build or screen a watchlist, then trade at your own broker.

In practice, Kavout’s AI ai kai score ratings. It falls under ai stock research and scoring, which makes it best suited to data-oriented quant signals. On connecting an account it is “No”, and on execution it is “None”. It is priced as subscription.

One honest limitation: Steeper learning curve, less beginner-friendly.

An automated investing service that manages accounts held at your existing broker rather than requiring you to move money.

How it works: Rather than opening a new account, you link an existing brokerage account at a supported custodian and SigFig manages it in place, rebalancing and running tax-efficient strategies. Below a stated balance the management is free. This structure is unusual: nearly every competitor requires custody of your assets.

In practice, SigFig’s AI automates a portfolio in accounts you already hold. It falls under hands-off automated investing (robo-advisors), which makes it best suited to automation that manages your existing schwab or fidelity account. On connecting an account it is “Yes, it manages accounts held at supported brokers”, and on execution it is “Automated”. It is priced as free under a stated balance, then a percentage (verify current).

One honest limitation: Supported custodians are limited, so it only works if your account is already at one of them.

The core difference is category. Kavout focuses on data-oriented quant signals (ai kai score ratings), and SigFig on automation that manages your existing schwab or fidelity account (automates a portfolio in accounts you already hold). On broker connection they differ too: Kavout is “No” versus SigFig at “Yes, it manages accounts held at supported brokers”. That shapes everything downstream: how personal the answers are, where trades settle, and how much control you keep over individual positions.

Every tool gives something up for what it does well. Here is the honest give-and-take on each, so you can weigh the specific strengths against the limitations that come with them rather than judging on the headline category alone.

For AI investing tools, the distinction that matters most is whether the tool works from your actual, connected positions or reasons from something else: a separate account it manages for you, or the tickers and numbers you feed it. It decides how personal the answers can be, and where your money physically lives.

• Kavout: does not see your holdings. Kavout works from market data and the tickers you research, not your live positions. You read its output, then act in whichever broker you keep your money at.
• SigFig: manages a separate account it holds. SigFig does not read the brokerage you already use. It opens and holds a new account, then invests the money you move into it, so its view is limited to what sits inside SigFig.

This is where they diverge most. One works from your real, connected account while the other does not, so if you want an assistant grounded in the exact positions you already hold, that gap is the thing to weigh first. This holdings-aware angle is the one Walnut is built around: it connects the brokerage you already use and reasons from your live positions, read-only by default, with any trades left for you to approve.

There is no universal winner here; the right pick depends on the job you are hiring the tool for. Match the category to your intent rather than chasing a single “best.”

• Choose Kavout if you want data-oriented quant signals. Its AI ai kai score ratings, it is priced as subscription, and it fits ai stock research and scoring. It is built for data-oriented investors who are comfortable interpreting quant signals themselves. Keep in mind that steeper learning curve, less beginner-friendly.
• Choose SigFig if you want automation that manages your existing schwab or fidelity account. Its AI automates a portfolio in accounts you already hold, it is priced as free under a stated balance, then a percentage (verify current), and it fits hands-off automated investing (robo-advisors). It is built for someone with an existing account at a supported broker who wants it managed without moving anything. Keep in mind that supported custodians are limited, so it only works if your account is already at one of them.

Because they sit in different categories, this is not strictly either-or: some investors use one for data-oriented quant signals and the other for automation that manages your existing schwab or fidelity account, and just watch for overlapping costs.

Cost is easy to misread when two tools charge in different shapes, so compare the model, not just the number. Kavout is priced as subscription, while SigFig is priced as free under a stated balance, then a percentage (verify current). A percentage-of-assets fee scales with your balance, a flat subscription does not, and a “free” tier usually earns elsewhere (on cash, order flow, or premium upgrades), so the cheapest headline is not always the cheapest outcome for your situation.

Pricing and tiers change often. Confirm the current numbers on each provider’s own site before you decide; the framing above is point-in-time.

If neither quite fits, Walnut sits in a third category: chat-driven management of your own brokerage. It connects the brokerage you already use through SnapTrade, lets you analyze and manage it by talking through Claude or ChatGPT, build thematic portfolios around a thesis, and place trades you approve. Read-only by default. See Walnut vs Kavout and Walnut vs SigFig. Walnut is not an investment adviser.