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Flood Insurer Neptune Insurance Buoyed Higher In First-Day Trading
Shares of Neptune Insurance Holdings closed up 24% in first-day trading Wednesday, as the market tides delivered a rise for the flood insurance policy provider. The St. Petersburg, Florida-based company priced shares at $20 a piece Tuesday afternoon, the top of the projected range. The offering raised $368 million for Neptune and set an initial valuation around $2.76 billion. The company trades on the New York Stock Exchange under the ticker “NP.” Founded in 2018, Neptune bills itself as an AI-enabled platform for insurers to offer flood coverage to residential and commercial customers. The company underwrites policies but does not handle claims or take balance sheet insurance risk, opting instead to work with other insurance providers. So far, it’s working out profitably, with business growing as well. In the first half of this year, Neptune reported revenue of $71.4 million — up 34% year over year. The company posted net income of $21.6 million, more than doubling from the same period last year. Neptune cites climate change as a driver of future growth in its platform, noting that “areas with low perceived flood risk today (e.g., non-coastal regions) could face increased frequency and intensity of flooding due to additional rainfalls and storms.” Additionally, it foresees the possibility of more areas with severe inland flooding being designated as mandatory flood insurance zones for policyholders with federally-backed mortgages. Today, per Neptune, the largest U.S. provider of flood insurance and the holder of the majority market share is the National Flood Insurance Program, a government-run entity that it cites as its main competitor. Per Neptune, however, “its limited product offerings often fail to meet policyholder needs.” Neptune’s growth to date has been funded in part through private investors.The company lists Bregal Sagemount and FTV Capital as its largest holders of Class A shares, with 28.9% and 25.4% stakes, respectively. Related Crunchbase query: Related reading: Illustration: Dom Guzman
Here Are Some Of The Newer Investors Entering The AI And Megaround Race
Lead investors in large venture rounds are usually familiar names in the startup world. But lately, we’ve seen newcomers writing some big checks as well. In sectors from spacetech to fusion to enterprise AI, several of the larger venture financings of the past few months have featured lead investors who only recently began investing in the space. So who are the newcomers scaling up? Using Crunchbase data, we put together a sample list of 15 recently launched venture investors that are leading good-sized rounds, most of which have a unicorn or two in their portfolios. Some were founded this year, while others have been at it a couple of years. Out of the sample, we picked out six that particularly warranted some closer inspection, based on factors like founding team, investment pace, round size, and willingness to lead deals. Unsurprisingly in the current funding environment, it’s an AI-centric list. Below, in no particular order, are some of the firms that might warrant an especially close watch: No. 1: Maverick Silicon, a prolific dealmaker Founded in 2024, Maverick Silicon focuses on private semiconductor growth companies and related investments. It’s been an active investor in that short timespan, with 11 known investments, including four lead rounds. Its largest co-lead round was also one of its most recent: a $100 million September seed financing for Palo Alto, California-based Upscale AI, a high‑performance AI networking company. In August, Maverick also financed a $20 million equity investment for Celera Semiconductor, a Silicon Valley startup working on analog design automation. Maverick Silicon, with offices in Northern California and New York, is a division of Maverick Capital, a $10 billion asset manager It lists Andrew Homan, who led tech investment for Maverick Capital, as its founder and managing director, alongside nine other listed team members. No. 2, Interlagos Capital: A SpaceX alums’ investment vehicle Los Angeles-based Interlagos Capital, founded last year by SpaceX alums Achal Upadhyaya and Tom Ochinero, has also been scaling up. The firm has at least five known investments to date, including a high-profile role last month as lead investor in space tech unicorn Apex’s $200 million Series D. Earlier this year, Interlagos also co-led Series A deals for two other startups: a $20 million round for seafood-focused robotics company Shinkei Systems and a $50 million financing for space solar startup Aetherflux. Upadhyaya, former SpaceX engineer and investor at venture firm Cantos, is listed as CEO at Interlagos while Ochinero, formerly SpaceX’s senior vice president of commercial business, is chairman. No. 3: Marathon Management Partners, a well-connected newcomer Marathon Management Partners launched in 2025 under the leadership of co-founders Gokul Rajaram, a prolific angel investor with board seats at multiple prominent companies, and Michael Gilroy, a former general partner at Coatue. So far this year, Marathon has led or co-led four financings, including a $31 million Series A this summer for AI payroll and benefits platform Niura and $15.5 million Series A for AI-enabled freight booking provider Boon. The firm also participated in a $300 million Series C for business banking provider Mercury. Cupertino, California-based Marathon was targeting a $400 fundraise for its first fund, per an April securities filing. No. 4 Leitmotif: Decarbonization with a side of hard tech Leitmotif, a hard tech-focused venture firm reportedly backed by Volkswagen, is one of the busier newcomers on the startup funding scene. Led by managing partners Matt Trevithick and Jens Wiese, Leitmotif says its first fund leans will focus on decarbonization and a “soft spot for hard tech.” Its portfolio certainly reflects that mindset. The firm joined a long list of co-investors this summer in a Series A for Munich-based fusion startup Proxima Fusion. As for lead rounds, its most prominent deal was a $100 million January Series B for electric truck startup Harbinger. No. 5 Intrepid Growth Partners: An emerging AI powerhouse in Toronto Toronto-based Intrepid Growth Partners was launched by former Canada Pension Plan Investment Board chief Mark Machin and former head of OMERS Growth Equity 1 Mark Shulgan. The firm describes its model as “growth capital to support the AI revolution.” Per Crunchbase data, Intrepid made its first investments this year, backing three companies. The largest round it backed was a $235 February financing for StackAdapt, an AI-enabled advertising platform, followed by a $122 million August round for AI tax research platform Blue J. No. 6: Vanara Capital: Off to a bold start San Francisco-based Vanara Capital just made its official launch in August, with private equity giant TPG’s TPG Next fund as an anchor investor. Since then, the firm, which focuses on growth-stage technology businesses, is off to a brisk start. In September, it led its first round: a $100 million financing for Invisible Technologies, a provider of technology for improving enterprise AI efficacy. Vanara’s founders, Neil Kamath and Hayden Lekacz, are both former technology investors at TPG. Spicing up the funding scene It remains to be seen, of course, to what extent these newcomers continue backing and leading high profile rounds. For now, however, it’s a welcome reminder that, even as well-known firms continue to dominate the most active investor rankings, there are some fresh investors in the mix. Related Crunchbase list: Related reading: Illustration: Dom Guzman
The AI Value Chain Has Shifted. Here’s How Founders Can Still Build A Sustainable Business
Daniel, founder of a new AI startup, recently scaled his AI-powered SaaS app to $250,000 in annual revenue. It happened fast, and he was thrilled. The product was taking off, users were growing, and everything looked like it was working. Then came the shocker: a cloud invoice for $800,000, driven almost entirely by inference and compute tied to API usage. The company had grown the top line, but not the margin. It was scaling itself out of business. This kind of story is becoming more common as we move into the AI era. The old SaaS playbook of build a great app, charge monthly and let infrastructure fade into the background, doesn’t hold up when your core cost scales with usage. AI has reshuffled the value chain, and for startups, this shift is existential. The AI stack is deep and margin has moved In traditional SaaS, most of the value was captured at the application layer. Today, AI companies operate in a much deeper stack: But unlike the past, margins no longer concentrate at the top, close to the end user. They now often sit below the surface, especially in layers where scarcity exists such as hardware, compute and exclusive model access. So what can startups do when they don’t own the infrastructure or the models? Three moves founders can make to stay in the game 1. Own your data. It’s your new moat You don’t need to train your own foundation model, but you do need to own the inputs that make your product valuable. If you’re in a vertical such as healthcare, finance, real estate or legal, your advantage is proprietary, structured data. Fine-tune open models. Build lightweight adapters. Use your customer workflows to continuously collect differentiated data. The value is in the dataset. 2. Price for usage, not access That founder’s $800,000 cloud bill happened because they were charging like a SaaS company but operating like a compute company. In AI, usage drives cost. That means flat-rate subscriptions don’t work. Founders must embrace pricing models that align value delivered with cost incurred: Track gross margin by feature, not just customer. 3. Avoid model lock-in. Design for flexibility Tying your roadmap to one model provider like OpenAI or Anthropic is risky. Latency, pricing and policy changes can all blindside you. Instead, build with model abstraction in mind. Route across providers, fine-tune open-source backups, and negotiate contracts with leverage. Flexibility is not just technical. It is a business hedge. Itay Sagie is a strategic adviser to tech companies and investors, specializing in strategy, growth and M&A, a guest contributor to Crunchbase News, and a seasoned lecturer. Learn more about his advisory services, lectures and courses at SagieCapital.com. Connect with him on LinkedIn for further insights and discussions. Illustration: Dom Guzman
Exclusive: Trucker’s Son Bucks Logistics Funding Decline with $40M Raise For Startup Alvys
Alvys, an AI-powered logistics software provider, has raised $40 million in Series B funding, the company tells Crunchbase News exclusively. RTP Global led the financing, which brings Alvys’ total funding to date to $77 million, according to the company. Alpha Square Group joined existing backers Picus Capita, Titanium Ventures and Bonfire Ventures, among others, in participating in the round. The company declined to reveal its valuation, saying only that it was an up round. It most recently raised funding in July 2024, a $25.8 million Series A led by Titanium. The raise comes at a time when funding to logistics and supply chain management startups remains far below pandemic highs. As of Sept. 25, startups in the space have raised $5.7 billion across 469 deals in 2025, Crunchbase data shows. By comparison, in all of 2024, logistics and supply chain management startups raised less than $6 billion in 741 announced funding deals. Both years’ numbers are a steep drop from the nearly $28 billion such startups raised in 2021 in a record-high 1,554 deals. Although 2021 was an aberration, funding numbers so far in 2025 are lower even than those of 2023, when $6.7 billion was raised across 965 deals. Making trucking more efficient Founded in 2020, Alvys hopes to buck the trend. The company describes itself as a “transportation management system” aimed at helping trucking companies operate more efficiently. Its platform does things like streamline dispatch, load management, tracking, driver management, billing and payroll. And by using AI and automation, Alvys claims it can help reduce manual work and help businesses make quicker decisions and thus move faster in general. Nick Darman, the company’s founder and CEO, told Crunchbase News that historically, many freight companies run on separate sets of systems, which results in siloed data, duplicated work, slow workflows and limited visibility. The company’s software “allows freight companies to transform multiple complex operations into one business that runs with clarity, while still keeping accounting clean and separate for each entity,” he said. The end result for the company’s 1,000-plus customers, Darman claims, is increased revenue, monthly loads and efficiency gains from faster accounting and reduced data entry. For its part, Alvys has tripled its revenue in each of the past two years and is on track to double it again in 2025, according to Darman. Personal experienceLeo Gorodinski, co-founder and CTO, and Nick Darman, founder and CEO of Alvys. Darman’s journey to start Alvys began with his personal experience seeing his father’s struggle — including financially — as a truck driver. After conducting research about freight sourcing, Darman founded a trucking company to supply his dad with loads. He also got a degree in economics and worked a brief stint in finance at JPMorgan. But in 2014, Darman decided to start an asset-based brokerage. By 2020, he had determined that he wanted to start a company to help address the inefficiencies plaguing the operating systems for freight companies. Thus, Alvys was born. In 2021, he invited Leo Gorodinski, former VP of engineering at Jet.com, to help him build Alvys. Julius Schwerin, partner at RTP Global, told Crunchbase News via email that the firm has repeatedly backed Alvys because the startup “marries a best-in-class TMS with the ambition to become logistics’ operating system. “What makes Alvys unique today is the combination of workflow depth and usability with 100+ integrations, built-in compliance, and real-time visibility, all wrapped in a modern interface that dispatchers and drivers actually enjoy using,” he added. Related Crunchbase query: Related Reading: Illustration: Dom Guzman
Biotech Share Of US Funding Hits Lowest Point In Crunchbase History
The share of U.S. startup investment going to biotech companies has hit the lowest level in more than 20 years, as an ever-growing proportion of funding goes to AI upstarts in other sectors. So far in 2025, investors have put $16.6 billion into seed through growth-stage rounds for biotech companies, per Crunchbase data. That pencils out to just over 8% of U.S. startup investment. It’s by far the lowest percentage in years, as charted below. In dollar terms, 2025 is also on track to show sharply lower biotech funding, even as overall venture investment to all sectors has been on the rise. Biotech previously pulled in a double-digit share It’s quite a shift. In past years, biotech has reliably pulled in a double-digit percentage of venture funding. While the proportion fluctuates from year to year, in most cases more than 15% of annual funding has gone to companies in Crunchbase biotech categories, based on a survey from 2007, our founding year, to the present. In some cases it’s even higher. In 2020, for instance, around 20% of reported investment went to companies in biotech categories. IPOs also down As we recently reported, biotech IPOs are also not having a moment. So far this year, just 18 funded U.S. startups in the biotech, drug discovery and medical device spaces have made their debuts on Nasdaq or the New York Stock Exchange, per Crunchbase data. That puts 2025 on track to deliver the lowest number of biotech IPOs in years. As we noted previously, the sluggish IPO pace is one of several indicators that investors are growing more risk-averse toward biotech and medtech. Many of the contributing factors are Trump administration-induced. These include cuts to public research funding, leadership upheaval at the Food and Drug Administration and public health agencies, and questions around future drug pricing policy. Slower early-stage funding and who is raising big rounds Slower early-stage funding is another concerning stat. It indicates that even if market enthusiasm for biotech rebounds, there will be a limited pipeline of companies ready to scale. So far this year, U.S. biotech startups have raised just $8.2 billion in seed and early-stage funding — on track for the lowest funding total in years. Even so, we have seen a few jumbo-sized early-stage financings this year. The largest include: At the later stages, meanwhile, the largest rounds went to Elon Musk’s Neuralink, and MapLight Therapeutics, which closed a Series D in July and filed to go public this month. The AI effect It should be reiterated that the shrinking share of funding going to biotech isn’t just the result of weaker investor enthusiasm for the space. Rather, it’s also a reflection of voracious investor appetite for AI companies, most of which aren’t categorized as biotech startups. For the first half of the year, for instance, startup investors put nearly $90 billion into North American AI deals, with OpenAI’s $40 billion SoftBank-led financing accounting for a big chunk of that. In Q3, the AI megarounds have continued to pile up, with Anthropic leading the way. And while biotech companies have historically secured some of the largest venture rounds in a given quarter, thus far they are nowhere close to competing with the GenAI giants when it comes to fundraising. Related Crunchbase queries: Related reading: Illustration: Dom Guzman
Timing The Market Is A Myth: Here’s How To Stay Ahead Of It
By Ashish Kakran Every founder has heard the advice: timing is everything. The uncomfortable truth is that timing is also nearly impossible to control. Being too early can kill a great company just as quickly as being too late. In fact, mistimed market entry is one of the top five reasons startups fail. Through my experience working with founders across AI, infrastructure and developer tools, I’ve come to believe the ideal go-to-market window isn’t about perfect timing. It’s about holding a small but critical edge or what I call the 1.5x edge. The 1.5x edgeAshish Kakran Think of it as being a half-step ahead of the market. If you’re two steps ahead, you may wait years for buyers to catch up. If you’re exactly in step, you risk being drowned out by noise and commoditization. But if you’re just slightly ahead, about six to nine months before the market really pulls, you have time to build an enterprise-ready product, win early design partners, and position yourself as the category leader when the wave crests. The best founders position their companies as leaders in markets that don’t yet exist. At the same time, they close revenue in adjacent use cases that buyers already care about. It’s a delicate balance of vision and pragmatism. Lessons from markets that were too early A few years ago, MLOps companies built sophisticated tools to manage dozens of models in production, including fine-tuning, monitoring and observability. The problem? Almost no one had that many models in production. The technology was brilliant, but the buyers weren’t there yet. Many of those startups failed not because of a bad product or bad teams, but because they were solving tomorrow’s problem today. Fast-forward to now: With LLMs and GenAI, the market has finally caught up. Suddenly, everyone needs robust MLOps and LLMOps. The pain is real, and the timing works. When the wave hits Look at AI code generation. Early players such as GitHub Copilot and Tabnine built strong products, but the market wasn’t ready. Then came ChatGPT, which shifted perception and normalized AI as a daily tool. Cursor and Windsurf didn’t invent a new model. They combined standard IDEs with APIs from OpenAI and Anthropic to create an integrated developer workflow. The timing was perfect. Distribution and adoption followed naturally. The takeaway: You can’t “time the market.” But you can be prepared when the moment arrives. It is teams of nimble founders that can rapidly adapt to the changing market conditions who are likely to win. The rate of change with AI is both a challenge and an opportunity. On one hand a new model release can make a subcategory obsolete. On the other hand, best founders see it as an opportunity to discover interesting new use cases as their competitors fight for survival. How founders can calibrate So how do you know if you’re too early or just early enough? Talk to customers and prospects, constantly. Many technical founders fall into the trap of selling the brilliance of their tech rather than listening to real pain points. Beware of the shiny-object syndrome. I have seen meetings where exceptionally talented founders spent 30 minutes in front of top CIOs and just kept talking about the cool technology. It can be a wasted opportunity as the buyer might walk away not knowing what the company actually does. Discovery matters. If your ICP doesn’t understand what you’re solving, they won’t buy it. Founders should also look beyond the C-suite. Champions can sit a level or two below, where up-and-coming leaders are hungry to bet on new technologies that accelerate their careers. These champions can make or break your early deals. Another key: over-deliver in the first six to 12 months. Close early design partners with favorable terms, but make sure they feel real ROI. Turn them into internal champions who will fight for you in rooms you’re not in. Churn at this stage can be devastating, not just to metrics but to founder morale. Why staying ahead still matters Even if you find the edge, it won’t last forever. Competitors will catch up. Markets will shift. The only way to maintain an advantage is through relentless product innovation and customer closeness. As Jyoti Bansal, founder of Harness 1, once said: “You don’t want to cross $100 million ARR with a single product.” The best enterprise companies continually invest in the next product about two years before the market needs it, ensuring there’s always a new growth driver ready. Timing the market may be a myth, but staying ahead of it isn’t. By keeping a 1.1x to 1.3x edge, slightly ahead of buyer demand but close enough to capture real use cases, founders can avoid the trap of being “too early to matter” and position themselves as the leaders when markets shift. The edge is small, but it’s everything. Ashish Kakran is a partner at Sierra Ventures, where he invests in early-stage companies in AI, infrastructure and cybersecurity. Previously, he has backed founders building category-defining companies such as Cohere and Harness. Related Crunchbase query: Related reading: Illustration: Dom Guzman
The Week’s 10 Biggest Funding Rounds: Health And AI Lead For Large Financings
Want to keep track of the largest startup funding deals in 2025 with our curated list of $100 million-plus venture deals to U.S.-based companies? Check out The Crunchbase Megadeals Board. This is a weekly feature that runs down the week’s top 10 announced funding rounds in the U.S. Check out last week’s biggest funding rounds here. This week was a fairly busy one for large financings, with eight of the top 10 exceeding the $100 million mark. Leading the way were two software providers: Judi Health, focused on health benefits software, and Filevine, used for legal practice management. 1. (tied) Judi Health, $400M, health benefits: Judi Health, formerly known as Capital RX, a New York-based provider of software for employers and health plans to manage benefits, announced $400 million in new investment. The financing included a $252 million Series F round along with what the company described as additional investments into its securities, led by Wellington Management and General Catalyst. 1. (tied) Filevine, $400M, legal tech: Salt Lake City-based Filevine, a provider of legal practice management software, announced that it closed on two previously undisclosed rounds totaling $400 million. Insight Partners led the first round and joined Accel and Halo Experience Co. to co-lead the second. 3. Modular, $250M, AI infrastructure: Modular, developer of an enterprise AI inference stack, raised $250 million in a Series C financing led by US Innovative Technology Fund at a $1.6 billion valuation. Founded in 2022, the Palo Alto, California-based company has raised $380 million in known funding to date. 4. AppZen, $180M, fintech: San Jose, California-based AppZen, an agentic AI platform for finance teams, picked up $180 million in Series D funding led by Riverwood Capital. The company said it wants its software to enable CFOs and controllers to replace over 50% of manual work. 5. Distyl AI, $175M, enterprise software: Distyl AI, a developer of AI tools for enterprise customers, scooped up a $175 million funding round backed by Lightspeed Venture Partners, Khosla Ventures, DST Global, Coatue and Dell Technologies Capital. The financing sets a $1.8 billion valuation for the San Francisco-based company. 6. Empower Semiconductor, $140M, AI processors: Empower Semiconductor, a developer of power-efficient AI processors, closed on more than $140 million in Series D financing led by Fidelity. The San Jose, California-based company says its technology can enable energy savings and higher throughput of AI platforms across data centers. 7. Quo, $105M, business communications: San Francisco-based Quo (formerly OpenPhone), raised $105 million in fresh financing led by General Catalyst. The company offers an AI-powered phone system marketed to small businesses. 8. Zerohash, $104M, cryptocurrency: Crypto and stablecoin infrastructure startup Zerohash raised $104 million in a funding round led by Interactive Brokers Group. Founded in 2015, the Chicago-based company has raised $277 million in known funding to date, per Crunchbase data. 9. Inspiren, $100M, healthcare AI: New York-based Inspiren, developer of an AI-powered platform and connected-device system for senior living communities, secured $100 million in a Series B round led by Insight Partners. 10. Thyme Care, $97M, oncology care: Thyme Care, a Nashville, Tennessee-based startup that describes itself as a provider of “value-based care” for oncology patients, picked up $97 million in Series D financing from a long list of venture and strategic backers. Methodology We tracked the largest announced rounds in the Crunchbase database that were raised by U.S.-based companies for the period of Sept. 20-26. Although most announced rounds are represented in the database, there could be a small time lag as some rounds are reported late in the week. Illustration: Dom Guzman
The Arc Of Venture Capital Bends Toward Democracy
By Ben Miller Once upon a time, tech founders built toward IPOs — not tender offers. In 1999, the median tech startup went public just five years after its founding. Today, that figure has stretched to 14 years. Instead of ringing the opening bell, founders are increasingly turning to private liquidity, keeping equity locked in private hands long past the company’s breakout success. That shift has created a far bigger — and increasingly private — pie. In 2005, the combined value of the 50 most-valuable private U.S. tech companies was less than $5 billion. Today, that number stands at $1.8 trillion. Over the same period, private markets have matured from niche pools into deep oceans, with global private-market assets under management surpassing $15 trillion — up from just $100 billion in the mid-1990s, a 150x increase. As a result, we’re entering an era where the most transformative value — like the $20 trillion impact projected from AI — could be created almost entirely within private markets, widening the wealth gap between insiders and everyone else. The long-standing objections to broader VC participation — risk, illiquidity, transparency and fees — are rapidly losing relevance. Let’s take them one by one. ‘Venture capital is too risky’Ben Miller Risk is not monolithic. Late-stage companies such as Stripe, Databricks or Canva look far more like mid-cap public equities than garage-stage moonshots. Investors can capture meaningful upside and diversify against individual company blow-ups by thoughtfully constructing a portfolio of 30 to 40 late-stage (post-Series C) funding rounds. ‘But it’s illiquid’ Illiquidity is relative. Half of U.S. public equities are already locked in passive funds that rarely trade. Meanwhile, the private secondary market hit a record $162 billion in transaction volume in 2024 — and continues to grow. Publicly registered VC funds can also hold 20% to 30% of assets in stocks or Treasuries to meet redemptions, bridging short-term liquidity needs with long-term exposure. ‘There isn’t enough oversight’ That’s changing. New publicly registered, evergreen VC funds, like the Fundrise Innovation Fund, are subject to SEC filings, audited financials and daily NAV disclosures. Retail investors are now getting more transparency in private markets than they do in many traditional mutual funds. ‘The fees are outrageous’ Historically, yes. 2% management fees plus 20% carry were the norm. But new models are emerging. The Fundrise Innovation Fund, for instance, owns equity in nine of the 10 most well-known private U.S. tech companies — including OpenAI and Anthropic — and charges no carried interest, only a flat 1.85% management fee. So why democratize VC now? Momentum is finally on the side of access. In June 2025, the House passed the Fair Investment Opportunities for Professional Experts Act in a 397-12 landslide, directing the SEC to open private markets to knowledgeable investors, regardless of net worth. The scale of the opportunity is enormous. Missing out on a $20 trillion AI wave isn’t just unfortunate — it’s locking out the majority of Americans of a generation-defining creation of wealth. Private tech also provides diversification in an era when public portfolios are dominated by the “Magnificent Seven.” And with 60% of public equity assets held passively, denying those same long-term investors access to private growth feels increasingly arbitrary. Venture capital will always carry risk — but so did buying Amazon in 1997 or Nvidia in 2015. What’s changed is the timeline: Today, the lion’s share of value is created before companies ever go public. Publicly registered VC funds are a breakthrough. They pair regulatory oversight with access to innovation, offering everyday investors a chance to participate in the upside of early-stage growth. Just as ETFs transformed public markets, these vehicles could reshape the future of private capital. The arc of innovation bends toward abundance. It’s time for venture finance to bend with it — toward the many, not the few. Ben Miller is the CEO and co-founder of Fundrise, the leading direct-to-consumer alternative investments manager. Related reading: Illustration: Dom Guzman