Taylor Matthews

The through-line

Everything Taylor Matthews says traces back to one observation he made before Farther existed: advisers everywhere, at wirehouses, at independents, and at every shop in between, were drowning in the transactional part of the job. Talking to advisers who served participants in the 401k plans he oversaw, "everybody I seemed to talk to had a similar sort of frustration with the amount of time that they had to spend on ops and admin" [1], and the frustration was "universal" [1]. His diagnosis was that the software was the problem: custodial systems "mostly built with software from the 80s" and performance engines from "the late 90s, early 2000s," none of it cloud native, none of it "really there to meet folks in the, you know, 2020s" [1]. The conclusion he and his co-founder drew was that a wealth management firm should be built "on modern technology rails the right way" [1][3], with the work pulled into one system rather than stitched across vendors.

The consistent argument that follows is that time returned to an adviser converts into growth. Farther's own framing of success is "how do we return time to advisors so that they can be more productive in the ways that they want to be productive?" [2]. What has shifted over the years is scope rather than conviction. The early version was a consumer-facing idea, delivering high-touch advice to people in the asset accumulation phase who traditional fiduciary advisers were "really not interested in talking to" until they had a couple of million dollars [5]. The later version is an adviser-recruiting platform serving high and ultra high net worth clients, with in-house planning, estate, tax and private markets capability [3][4]. The engine underneath, insourced software and a single data layer, has not changed.

On why the industry's "tech stack" is a false differentiator

Matthews finds the word itself telling, "this weird term that only our industry seems to have" [1]. The standard path, he argues, is that a firm lifts and shifts out of an institution, picks a custodian, a performance and analytics tool, a CRM and a handful of others, "and you hope that they integrate as well as they say that they will. They don't by the way" [1]. The result is a business run on context switching, and any engineering effort goes into making systems talk to each other rather than "development of net new" [1]. He is blunt that this leaves nobody differentiated: "let's be honest like every firm is using the exact same set of technology. So if you are thinking that you're differentiating yourself in some way with your particular tech stack, it's probably not. there are at least hundreds of firms who have probably made the exact same choices that you have" [2]. He names the reality under the hood, "everybody's is using the exact same four custodians three or four custodians really is Fidelity Schwab persing uh everybody is using investnet Orion or Black Diamond" [1], and draws the further inference that identical technology implies identical processes: "how different can it be" [1].

His alternative is insourcing. "Only by developing something of your own can you at least potentially differentiate yourself in this extraordinarily commoditized business" [1]. Farther built its own rebalancer that he says does what "a parametric does but at lower cost than what a parametric does and with greater capabilities than what they do" [1], and runs a 50-person engineering team whose job is to reduce "that switching cost from going from tab to tab on your computer" [1]. The shorthand he keeps returning to is an operating system analogy: "we're the iOS to the industry's Android operating system where you know it is mostly farther uh but it all works really well together" [3][2]. Flexibility exists within that, "there's an awful lot of flexibility built in, but there are some core aspects of the of the platform that you would not want to change" [2]. He is candid about the cost of the choice, both financially and in patience: "building a wealth management platform, costs a lot of money and takes a long time" [4], and building your own is "not necessarily recommended" [1]. His co-founder Brad Genser frames the discipline as knowing what not to build, keeping custodians and commodity data plumbing out of scope and focusing on the orchestration layer that shapes the client and adviser experience [6].

On starting from scratch instead of lifting and shifting

Matthews treats Farther's founding method as the reason the software exists at all. Most wealth management firms are born through a lift and shift of clients, where the first imperative is protecting revenue and service levels, "and that makes it really challenging to build net new software" [3]. Farther inverted the sequence: "We didn't lift and shift any clients. We started by going around to the venture capital community, you know, PowerPoint and a dream and uh raising some capital to hire some engineers. We spent a year coding before we even opened our doors" [1]. What launched was deliberately thin, "a very limited version of what we ultimately wanted to develop" [1], and Matthews himself was the first adviser [2]. The next advisers were paid to sit in a seat and test whether a business could be run on the nascent platform, and the first two are still there and at capacity [2]. Only later did the firm recruit advisers with established books [1].

He describes the resulting growth as a ratchet between capability and credibility: "as we gained in capability uh we were able to attract different types of advisers to the platform uh and then over time that allowed us to gain in credibility" [2]. Being a vertically integrated RIA was itself a design decision about feedback loops, because employing the advisers "gave us much better access to feedback uh so that we could turn around that feedback quicker into the product" [1]. Asked how the pain points were solved, his first answer is not technological: "I think that in a very general sense it was listening" [1].

On administrative burden and growth as the two pain points

Matthews reduces adviser frustration to two categories. The first is the sheer role-stacking of running a practice: "You're asked to be an adviser. Of course, you're asked to be a therapist as an adviser. you're asked to be a marketer, a salesperson, an administrator," plus paperwork, custodian interactions, investment management, and eventually HR and finance, "That's a lot to ask of an individual or a small team to do and not everybody is an expert at each one of those categories" [1]. The promise is that all of that gets abstracted away "to either the technology or a centralized servicing team that steps in when the technology stops" [2]. He has quantified the shift, saying advisers who join Farther go from spending roughly 65% of their time on administrative activities to about 90% on client-facing work [6].

The second pain point is growth, and he attacks it in four areas [2]. There is do-it-yourself marketing, templates, nurture sequences and content maintained by the internal marketing team; done-for-you marketing, where an internal agency runs the campaigns advisers are unlikely to be expert in, because "it's probably rare to find an adviser who is an expert in search engine marketing for instance" [2][1]; growth consulting and practice management, applying "all of the normal sales consulting that you would typically find at any large sales organization" to pipeline, funnel metrics and time allocation [2]; and a lead generation team that builds leads through Farther's own marketing and routes them to advisers by geography and business type [2]. The metric he watches is growth per adviser, because "it tells us, are we actually solving a problem for them?" [2]. Last year, average net flows for advisers with over $20 million in assets on the platform ran about $14.5 million over the course of the year, which for advisers starting small represented very high percentage growth [2]. He reports advisers thanking him after onboarding for seeing their business "grow again for the first time in years" [4].

On AI as an efficiency layer, not a replacement for advisers

Matthews places AI in a lineage of technologies that were supposed to end the adviser and did not. Discount brokers, the internet and robo-advisers all triggered the same fear and the same predictions of fee compression, "and yet here we are in 2026 and there hasn't been any material fee compression from the advisory side. Larger scope of services, for sure, but we're still here" [4]. He accepts AI is "a very different type of technology" that opens "a new way to engage with the world of financial advice" [4], but holds that younger clients want more advice than their parents did and still want "a flesh-and-blood human being on the other end of that" [4]. His formulation of what clients actually buy is the sharpest statement of the position: "I hired an advisor for expertise, judgment, and trust and I don't think that that's going to change. Like there's lots of really great data that an AI can pull from. It can give you a technically correct answer, but does it have can it imbue trust in a relationship? I think that's an open question" [4]. He also thinks the answer varies by client, and he solves for three dimensions: how much wealth someone has, how sophisticated they are and whether they want to be a co-pilot or hand it over, and "a dimension of technological trust" that runs from wanting a human in the room to being perfectly comfortable with an AI in their life [4].

Inside the firm, AI is deployed to return time. Farther employs its own AI engineers [2], and starts with software development itself, where engineers, product designers and product managers, including people who cannot code, ship features using internal tools built on top of the codebase [2]. Client-facing use cases include turning a meeting outcome and whatever statements a prospect provides into a proposal "in minutes" [2], and an internal chatbot with access to CRM data and every piece of data across the platform in Farther's own data lake, which can be queried to surface opportunities: he gives the example of noticing that a client's insurance policy was last updated before their most recent child was born [2]. The platform also aggregates assets held elsewhere, bank accounts, credit cards, mortgages and loans, so the AI can see the whole picture [2]. He points to a partnership with Anthropic as evidence of intent, saying they have told Farther they enjoy working with the firm "because we're pushing the bounds on what they can do," and that he wants "to lead from the front from a technology perspective" [4].

On regulation, he expects existing frameworks to hold. Index funds and robo-advisers raised the same "is this advice?" question, and robo-advisers are regulated under the SEC in the same way a traditional RIA is [4]. His view is that "if you are going to be providing financial advice, whether there's a human in the loop or not, you have a burden of trust and a burden to prove that it is correct," and a new tool does not change that burden [4].

On big-firm resources, and why he thinks consolidation follows

Matthews sees a clear industry trend towards advisory organisations offering more and more services, and argues it is "very hard to deliver if you're a smaller RIA," which "is going to drive consolidation over time" [2]. Farther's response is to centralise specialists advisers can call on. More than half the advisers are CFPs who know how to plan, but "there's not usually a good use of their time to be typing in that data and creating those plans themselves," so a team of planners builds the plans for them [2]. The firm consults on estate planning rather than drafting trusts itself, and adds tax, business advisory for small business owners, portfolio specialists for bespoke ultra high net worth mandates, and coverage for institutional relationships such as 401ks, nonprofits and associations [2]. Some of these experts go in front of clients and some do not, and he frames the adviser as "the quarterback" who marshals resources: bringing in an estate attorney means "your client looks at you as being part of a bigger team with a lot more resources" while the relationship stays with the adviser [2]. He links this directly to capital, saying the balance sheet lets Farther pull forward resources "otherwise only accessible to very large firms" and that it will be "increasingly challenging for a small firm to replicate the full service offering that some of these mega firms will ultimately end up with" [4]. The $72 million Series C is earmarked for platform and infrastructure investment and for adding layers of support around the adviser team [6].

On private markets, liabilities and the whole balance sheet

He argues exposure to private markets is now necessary rather than optional, because the number of investable public companies has not merely plateaued but "declined quite a lot," so anyone wanting exposure to the broader economy needs private equity, private credit, infrastructure and real estate, particularly in larger portfolios that can carry illiquidity [3]. The hard part in his telling is not access but reporting: getting every private position "into one reporting environment where you can see everything all in one place" and updated as quarterly reports or a new 409A arrive [3]. Access comes in three tiers, platforms that surface the largest managers, Farther's own direct relationships with both household-name and emerging managers, including a recent seed-stage manager raising its second fund that Farther had unique access to, and direct investments into private companies [3]. He is deliberate about gatekeeping, with in-house researchers, internal metrics and attention to who else has vetted an opportunity, because "we care very deeply about our reputation the trust that we have built with clients and the advisor team" [3].

The wider point is that wealth is more than assets under management. "It's very important to see the asset side of the balance sheet. It's also important to understand what the liability side of the balance sheet is," including access to lending: financing an aircraft or a jumbo mortgage should both be possible [3]. He extends the same logic to documents, arguing that trusts, estate plans, insurance policies and tax returns belong in "one common repository for everything that you might need to touch on in your personal financial life" [3]. He uses roughly $25 million as the ultra high net worth line, $5 to $25 million as high net worth and below that as affluent [3].

On the PE roll-up playbook and what he thinks it costs advisers

Matthews is direct about the competitive set. There are, he says, something like 70 private equity-backed RIAs, "and virtually every single one of them is running the exact same playbook," where management teams are paid to mash up revenue for a higher multiple and cut costs to drive EBITDA and enterprise value [4]. His objection is about who bears the consequences: "it works great for the financial backers and for the management teams, but it doesn't work so great for advisors who are then sold without their real ability to influence that decision" [4]. He grants that it is genuinely good the industry now values what an adviser builds, and that the big check is enticing when there is college to pay for or chips to take off the table, "It is great to have those options." What is not great is "its impact on the client experience when you pursue one of those options and it's not everything that you thought it might be" [4]. He is sceptical of the standard pitch, since "everybody's going to say we have a great firm culture and we have great technology," and asks a pointed question about durability: "The culture I think is pretty questionable if you're just going to be carted off in three to five years. Is that really a culture that you want to be a part of?" [4]. He positions Farther as a counterpoint, "a different way of looking at growing your business, at monetizing your business eventually, and in one that is a here to stay" [4].

On transitions, scaling pains and where operations should live

Onboarding friction was, in his account, "one of the biggest hurdles that we faced, especially as we got going," and reducing it is ongoing work; transitions now usually run one to three months, and the longer cases are typically caused by the exiting institution [3]. Ultra high net worth clients raise particular complexity around alternative assets, direct investments, fund relationships and separately managed account providers, which Farther handles by pre-negotiating manager relationships before an adviser joins so the client experience stays smooth [3]. Advisers almost always swap systems rather than add Farther alongside what they have, and the vast majority adopt the Farther brand and come onto Farther's ADV, with a small handful running as powered by Farther [2][3].

Growth has forced its own reckoning. Farther passed $1 billion in assets, then doubled to $2 billion in the fourth quarter of 2023 as a newly built recruiting team turned an influx of opportunity into signings, which required a deliberate pause: "this is tremendous growth but we need to metabolize it we need to deliver the experience that we have promised all of these advisers that we've recruited" [6]. The answer was a Dallas facility that he describes as critical to scaling then and to the next level of scale [6]. He is also alert to the failure mode of outsourced service, where the people behind a platform do not know how it works, and Genser's account of the operations model, teams of specialists rather than jacks of all trades, paired with automation wherever it is available, is offered as the counter to that, alongside a NIGO rate at one custodian that is the lowest for a firm of Farther's size and growth rate [1][6].

On culture, remoteness and the co-founder partnership

The partnership works, in Matthews' telling, because two very different backgrounds pointed at the same frustration. Genser went to West Point, served in Iraq, took an engineering master's at MIT alongside business school, became a wealth adviser at Goldman and built growth software that identified demand for wealth management, ultimately for a large portion of Goldman's advisers [1][3][6]. Matthews brought the efficiency thesis, and "when we began talking, we just noticed that we we saw the world the same way. We saw a lot of opportunity. We were frustrated at the same things" [3]. The division of labour followed the obvious line, with Genser taking product, engineering and design in the early days "and I got all the rest," underpinned by "a lot of trust in each other to do a really great job on our respective domains" [3].

Culture is treated as something with real costs attached. Farther was "born in the pandemic," remote from the start with the founders on opposite coasts, which meant "being candid, being forthright is that much more important with us than it is for a firm where you are just right next to each other all the time" [3][5][6]. He turned down a friends and family check that would have completed the round because it required Genser to move to Silicon Valley: "we had made a commitment not to blow up each other's family lives that's an important aspect of our culture that there's more to work than just work" [6]. He credits that choice with making the firm geographically agnostic in hiring, able to "find the best of the best from wherever they are" [6]; the firm now has offices in San Francisco, New York and Dallas, with advisers in 35 or more states [3]. The stated values are communication, action, respect and excellence [3], and he ties early-stage survival to people: hiring the right ones and then keeping it "a great place to work for them," without which "it's really challenging to handle a high growth environment" [5]. He also resists the idea that strategy is a single fixed plan, arguing that success is defined by "velocity of learning" [6].

On the founder's path, fundraising and the original consumer thesis

Matthews describes himself as a poor long-run fit for consulting, and the reason is temperamental: you do phenomenal analysis, "and then you hand it off and it's not yours anymore and that's super frustrating like for somebody who is much more of a doer" [3]. Farther's earliest version grew out of what he saw at Forusall, where his team oversaw retirement plans covering around 25,000 employees, giving him "this tremendous preview of what is working and what isn't in the personal finance space" [5]. The gap he identified sat between beginner fintech apps and traditional advice: great products for people starting to save, then nothing serious until the couple of million dollars that fiduciary advisers wanted to see, which he "thought was kind of silly" [5]. Part of the motivation was personal, a self-described personal finance geek who read The Intelligent Investor as a teenager and still found that career and family made him neglect the things he knew he should do, so he wanted both "a coach" and automation, sweeping excess cash out of bank accounts and cascading contributions across account types to maximise tax-advantaged space [5]. The brand posture followed from that: not the "mahogany office guy in a suit," but judgment-free advice delivered to clients as peers [5], with the mission framed as helping clients go farther with what they have, whatever that means to them [5].

His fundraising advice is shaped by repeated rejection: "have a thick skin and listen well uh you know we I've been turned down more times than I can count," and investors' objections usually carry real insight worth addressing [5]. In finance, proving traction before you have a product is especially hard, since building carefully with people's money costs more than a consumer or SaaS app you can throw out there [5]. The thing he would do differently is build a waitlist before launch, as Robinhood did, to demonstrate demand without a finished product, harder when you are asking people to move their life savings but still worth the emphasis [5]. On starting a company in a downturn, he notes that tough environments select for genuinely passionate founders and push companies to focus on revenue rather than just grabbing users [5], and he tells prospective founders to secure personal runway, because "everybody overestimates what they can do in one year and underestimates what they can do in 10" [5].

Takeaways

• The industry's technology is commoditised, so a proprietary stack is the only route to real differentiation: "everybody has access to the same thing how different can it be" [1], and "only by developing something of your own can you at least potentially differentiate yourself in this extraordinarily commoditized business" [1].
• Build the platform before taking clients. Farther raised on "PowerPoint and a dream," spent a year coding before opening, and paid its first advisers to run a business on an early platform rather than lifting and shifting books [1][2].
• Time returned to advisers is the product; growth is the proof. Farther measures growth per adviser, and advisers over $20 million in assets averaged roughly $14.5 million in net flows over a year [2][6].
• AI is an efficiency layer, not a substitute for the relationship: discount brokers, the internet and robos all failed to compress fees, and clients hire "an advisor for expertise, judgment, and trust" [4].
• Existing regulatory frameworks likely cover AI-driven advice, because the burden to prove advice is correct does not change "whether there's a human in the loop or not" [4].
• Private markets exposure now matters because investable public companies have declined, and the real problem is consolidated reporting of alternatives, liabilities and documents in one place [3].
• The PE-backed RIA roll-up runs one playbook, mashing up revenue and cutting costs, and leaves advisers sold on without influence over the outcome [4].
• Culture decisions have a price tag: Matthews turned down a round-completing check rather than force his co-founder to relocate, and built remote-first from day one [6][3].