Tandems logo
FIG. 1 / The little mark that replaced a 19-year-old name. Tandems, 2025, San Francisco.
YesPress // Company // AI · Fintech

Tandems.

The wealth industry got a new operating system. It does not look like a chatbot, it does not promise to replace your advisor, and it sits behind SOC 2 Type II. Which, in this industry, is the entire pitch.

The quiet rebrand of a wealth-tech veteran

A nineteen-year-old fintech does not usually change its name. SigFig did. In September 2025, the San Francisco company that helped invent the robo-advisor traded a brand built on consumer-friendly portfolio dashboards for something blunter and more ambitious: Tandems, an AI-native wealth operating system aimed at the firms that actually move the money.

The shift is not cosmetic. SigFig was a product. Tandems is a platform - three apps (Meet, Grow, Invest) plus the connective tissue between them, sold to banks, RIAs, broker-dealers, and insurance carriers. The customers are the same kinds of institutions that licensed SigFig's older robo-engines. The promise is bigger. The acronym soup is denser. The lawyers are happier.

"We're not building a co-pilot. We're building the operating system that runs underneath one."

- The pitch, paraphrased from every Tandems deck since the rebrand

Advisors spend most of their day not advising

Walk into any wealth management firm at 9 a.m. and the senior advisors are not advising. They are prepping for a meeting that will happen at 11. Then writing the recap from the one that happened at 8. Then filling out a custodian form. Then logging the call into a CRM that asks 17 questions to log a call. Tandems likes a number for this: roughly 90% of an advisor's working hours go to work that is not, strictly, advice.

The math is unkind. The relationships that drive the business get the leftover time. Compliance gets the rest. Software, for years, made this worse by adding screens. Generative AI threatened to make it worse again, because compliance teams cannot deploy a tool that may hallucinate a fiduciary recommendation. So most large firms watched the AI wave and did the responsible, frustrating thing - nothing.

"Ninety percent of an advisor's day is the wrong ninety percent."

- Mike Sha, podcast appearances, 2025

A second act, with the same co-founders' fingerprints

Mike Sha, the CEO, has been running this company for almost two decades. He met co-founder Parker Conrad as a Harvard freshman; they were dorm roommates with a long-running plan to start something. SigFig was that something - a portfolio-tracking startup that pivoted into one of the first real robo-advisors. Conrad later left to start Zenefits, then Rippling, which is to say SigFig was the first SaaS act in a now well-known career.

Sha stayed. He kept selling into banks while the consumer robo wave crested and broke. He watched UBS, Wells Fargo, Citizens, and others license SigFig's engine. He also watched, with something like patience, as the entire industry waited for an AI tool that would not get a compliance officer fired. The Tandems bet is that the patience finally pays. Verticalize the model. Bolt it into Salesforce, Fidelity, Schwab, Pershing. Stamp it with SOC 2 Type II. Promise a 30-day install. Charge accordingly.

Who runs Tandems

Mike Sha - CEO & Co-Founder. Applied math at Harvard. Previously CEO of Wikinvest. Has been pitching financial institutions since before "robo-advisor" was a noun.

Roger Fong - CTO. Samir Salvi - CFO. Dan Mercurio - COO. Benny Wijatno - Head of AI Engineering. Steve Mattus - Chief Investment and Compliance Officer (the title that tells you what kind of company this is).

FIG. 2 / The org chart of a regulated startup, in which "Compliance" rides shotgun to "Investment".

Three apps, one ambition

Tandems ships as three product lines that work together and refuse to overlap too cleverly. TandemsMeet handles the meeting - prep, in-meeting AI guidance, follow-up notes, action items. TandemsGrow handles the funnel - asset capture, outreach, automated onboarding. TandemsInvest handles the portfolio - personalized investment, rebalancing, tax-optimization at scale.

The unsexy part is the plumbing. Pre-integrations with Salesforce, Fidelity, Schwab, Pershing, Broadridge, Microsoft, and DocuSign mean Tandems does not ask a bank to rip and replace anything. It rides on top. That decision is also the entire commercial strategy. A wealth firm with a working CRM and three custodial relationships will buy a layer. It will not buy a rebuild.

"Verticalized AI" is a phrase you would expect to hear at a consulting offsite. Here, it is the difference between a deployment and a lawsuit.

- The fine print, in 14 words

A Tandems / SigFig timeline

2006
SigFig is founded in San Francisco. Mike Sha and Parker Conrad set out to track retail portfolios. They notice most retail portfolios underperform.
~2012
SigFig pivots from tracker to robo-advisor, joining the earliest cohort of automated investing services.
2016
UBS and SigFig announce a strategic alliance, putting SigFig's tech inside one of the world's largest wealth managers.
2018
$50M Series E led by General Atlantic, bringing total funding to roughly $113M. SigFig leans hard into enterprise.
2023-24
Quietly retools the platform around verticalized AI. Designs, tests, and deploys with regulated customers.
Sept 2025
Rebrand. SigFig becomes Tandems. AI-native wealth OS launches with TandemsMeet, TandemsGrow, and TandemsInvest.
FIG. 3 / Nineteen years compressed into six rows. The compression is editorial; the patience was real.

The numbers, and what they actually mean

The legacy SigFig platform reportedly served over $60 billion in assets across about two million accounts and 6,000 advisors. Tandems inherits that footprint, plus the institutional relationships that came with it. The new pitch leans on a different set of figures - integration breadth, deployment speed, and the share of advisor time the system aims to take back.

What Tandems is selling, in one chart

Approximate, vendor-stated metrics
Advisor workload
automated
~90%
Assets on legacy
platform
$60B+
Advisors served
(legacy)
6,000
Deployment
window
< 30 days
Total capital
raised
$113M
FIG. 4 / Bars are illustrative, not to scale across categories. The 90% claim is the one to argue with your CFO about.

"Trustworthy, compliant, private" reads like a beverage label. In financial services it is the entire product spec.

- Tandems marketing, summarized

Give the advisor back the part of the job they liked

Tandems' stated mission is not modest, but it is small enough to be testable: free up the 90% of an advisor's day spent on manual work so the remaining time can go to relationships and strategy. The vision is bigger - an AI operating system for wealth, banking, and insurance that institutions trust enough to run on top of their existing stack.

That second sentence is doing a lot of work. "Trust" inside a regulated industry is not earned by demoing well. It is earned by deploying at one bank, surviving two compliance reviews, getting renewed, and then doing it again. Tandems has done the prior version of that loop - quietly - for nineteen years.

The interesting move is the one the customer doesn't notice

The defining tension of generative AI in financial services is not capability - it is permissibility. Capability has been there for two years. Permissibility - the ability to put a model into a workflow without a compliance officer pulling the plug - has not. The firms that solve the second problem do not win because their AI is smarter. They win because their AI is allowed in the room.

Tandems is betting that the next wave of fintech value is verticalized, regulated, and unsexy on the surface. No standalone chatbots. No "AI assistant" splash screens. Just a software layer that quietly removes the friction nobody at the firm misses. If they are right, the most interesting wealth-tech company of the next five years will be one most retail investors never hear of.

The wealth industry got a new operating system in 2025. The advisors using it may not know its name. That is, almost certainly, the point.

- Closing observation

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