Kavout vs SigFig: Which Is Better in 2026?

Prices checked October 2026. A price marked (Oct 2026) was read on the vendor's own pricing page; others are described without a number because we could not verify one.

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 is an AI stock research and scoring tool, best suited to data-oriented quant signals. On connecting an account: no (research only; you buy at your own broker). On execution: none. Cost: subscription.

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

An automated investing service that manages accounts held at your existing broker, so you do not move money.

How it works: There is no new account to open: 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 is a robo-advisor (hands-off automated investing), best suited to automation that manages your existing Schwab or Fidelity account. On connecting an account: yes, it manages accounts held at supported brokers. On execution: automated. Cost: up to 0.50%/yr, $2,000 minimum (Oct 2026).

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

Category comes first. 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 (research only; you buy at your own broker)” 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. Below is the give-and-take on each, so you can weigh the specific strengths against the limitations that come with them, beyond the headline category.

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: connects specific supported accounts. SigFig connects a defined set of accounts (Yes, it manages accounts held at supported brokers), so whether it can see your holdings depends on whether your money is at one of them.

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.

Each one wins a different job, so the answer depends on which job you need done.

• Choose Kavout if you want data-oriented quant signals. Its AI AI Kai Score ratings, and it costs subscription. It is built for data-oriented investors who are comfortable interpreting quant signals themselves. Keep in mind: 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, and it costs up to 0.50%/yr, $2,000 minimum (Oct 2026). It is built for someone with an existing account at a supported broker who wants it managed without moving anything. Keep in mind: supported custodians are limited, so it only works if your account is already at one of them.
• Choose Walnut if you want a keep, trim or exit read on the stocks you already own, and placing the trades you approve. It is an AI investing app that connects the broker you already use, and it costs free; Walnut Plus $9.99/mo on the web; no fee on assets.

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 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: subscription. SigFig: up to 0.50%/yr, $2,000 minimum (Oct 2026). 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.

Prices checked October 2026. Pricing and tiers change, so confirm the current numbers on each provider’s own site before you decide.

Walnut is an AI investing app, and it is the pick for a keep, trim or exit read on the stocks you already own, and placing the trades you approve (free; Walnut Plus $9.99/mo on the web; no fee on assets). It connects the brokerage you already use, read-only by default, gives each holding a keep, trim or exit read against the S&P 500, flags any position above a quarter of the portfolio, and places the trades you approve. You use it through its own assistant, or inside Claude or ChatGPT. See Walnut vs Kavout and Walnut vs SigFig.