How Dollar Shave Club, eSalon Built a 'Billion Dollar Brand'

Lawrence Ingrassia

Lawrence Ingrassia is an award-wining journalist and the author of " Billion Dollar Brand Club."

How Dollar Shave Club, eSalon Built a 'Billion Dollar Brand'
  • Relying on analytics, the founders of eSalon who knew nothing about hair dye, built a trendsetting personalized hair color brand that did $30 million in sales
  • The e-commerce brand uses individual data, machine-learning algorithms and predictive analytics to create formulas that keeps customers coming back
  • The Takeaway: Retail is being upended by direct-to-consumer companies that can acquire key metrics to customize products and retain shoppers

In recent years, you no doubt have seen a growing number of new brands pop up everywhere you go online – and you've probably bought some. Where did they come from? Who are the entrepreneurs behind them? Why did they think they could take on long-dominant brands?

This is an excerpt from " Billion Dollar Brand Club," authored by award-wining journalist Lawrence Ingrassia and published on January 28 by Henry Holt and Company.

The book explores how an unlikely band of entrepreneurs launched a business revolution in the way new brands are created and sold online. One of the most successful direct-to-consumer brands, Dollar Shave Club, was founded in Los Angeles and got its initial seed funding from Science Inc. in Santa Monica. This excerpt from Chapter 6, "The Algorithm is Always Right," tells the story behind eSalon, based in El Segundo, and how it tapped data analytics to create customized hair coloring.

The customer, a woman in her mid-to-late forties, knows what she wants when she logs onto eSalon.com to order its customized hair coloring for the first time: dye to match her natural blonde color – and cover up her grays – with the lightest blonde shade it offers. As she clicks through a series of about a dozen questions, the algorithm inside eSalon's computers starts churning away. Without anyone from the company having met or even talked to her, it will understand her hair coloring better than she does by the time she finishes answering the questionnaire.

How long is your hair? it asks. How much gray do you have? How straight or curly is your hair? How thick is your hair? What is your ethnicity? What color are your eyes? What is your natural hair color? What is the closest shade to your natural color? Would you like to maintain your current color?


To help her, the questionnaire shows thirty-one photos of different shades of blonde, with very small gradations from lighter to darker colors. At the end, she selects the lightest blonde color eSalon offers, just as she intended. But that's not exactly what she will receive.

eSalon has collected data from more than five million people. Based on this woman's answers, it knows the best color formulation to achieve the blonde look she wants, regardless of what she thinks. eSalon's computers have learned from crunching the data that many first-time customers who fit her profile and order the lightest blonde dye have been disappointed; they felt their hair came out looking too blonde – too "hot" in hair coloring jargon. The numbers show that eSalon has a higher reorder rate from customers who asked for a slightly darker color for their next order, so that their hair wouldn't come out looking quite so light.

Knowing all of this, eSalon automatically sends the customer – without telling her – a formulation that has 98 percent of its lightest blonde share with 2 percent blue added to soften the color, or cool it, rather than 100 percent blonde. "After seeing this data, we adjusted our algorithm so that new customers who are a natural pure blonde and want to keep that look automatically get that little bit of blue added," explains Tom MacNeil, eSalon's chief technology officer. "They're happier with the result, even though they're asking for the blondest of blonde that we have."

For eSalon, and almost all direct-to-consumer brands, data is the coin of the realm. The data they collect directly from each customer provides a significant advantage over bigger, long-established brands. Clairol doesn't have this data, because the customers they deal with directly are retailers. The people who use the product are largely anonymous to Clairol; they walk into a drugstore, pick a box of hair coloring off the shelf, pay for it, and walk out.

eSalon's shelf is its website, and it collects information about each customer who walks through its digital door and answers its questionnaire. The longer a woman remains a customer, the more eSalon knows about her – and not just her. eSalon aggregates all of that individual data and uses machine-learning algorithms and predictive analysis to inform virtually everything it does: from adjusting its product formulations to introducing new products (like color for highlighting hair) to testing seemingly insignificant word changes on its web pages. "In the end, we're a tech company selling a beauty product," says Tamim Mourad, one of eSalon's co-founders.

Data mining is critical to the biggest challenges facing all direct-to-consumer brands: holding down the cost of attracting customers and keeping them after a purchase or two. Using the data it has gathered, eSalon has improved its retention rate from below 50 percent to about 70 percent on its customers' initial orders. One of the key metrics, especially for subscription companies, like eSalon, Dollar Shave Club, and Hubble, is a customer's lifetime value, or how much she will spend over time. The cost of acquiring customers can be offset only if a lot of them become repeat customers who buy month after month or, even better, year after year. "It's all about retention, because nobody makes money on the first order," explains Francisco Gimenez, another co-founder.

Businesses have used predictive analytics for the past couple of decades, but the growing power of computers, along with the ability of online brands to gather huge amounts of data, has made machine learning central to their success.

Tamim Mourad and several of his colleagues at eSalon discovered from experience the importance of technology to a startup. In 1998, before the direct-to-consumer brand revolution began (indeed, before many of the entrepreneurs behind many of these startups had graduated from college or even high school), they started an internet company, while they were in their twenties. The company, PriceGrabber, was one of the original online price comparison sites. In 2005, Experian bought the company for $485 million – yielding a huge gain on the founders' total investment of $1.5 million.

After taking a couple of years off, the PriceGrabber founders began brainstorming about starting another business.

In the fall of 2008, Mourad and his wife were having dinner with a couple who owned a beauty salon in Beverly Hills. The other woman, who was a hair colorist, tossed out a business idea. "She said that women who color their hair at home don't do it well, because there is a dearth of information," Mourad says. What about starting a web site that explained how to dye your own hair? He didn't see a way to make money from that. But he asked her, "Is it possible to formulate color for someone sight unseen, and mail them something they apply at home? If that works well, then you're delivering a product that is better than the standard hair coloring in a box at drugstore, that would approximate what someone could get at a hair salon. If you could do that, you could charge a price that was a premium. There's a business model."

He went back to his former PriceGrabber colleagues, all men who knew nothing about hair coloring. But the more they thought about the idea, the more they liked it.

It was a business ready for disruption, they decided. Off-the-shelf packaged brands were fine, but most offered only around fifty pre-mixed shades. "Many people who color their own hair at home in general are not happy, because the results are mixed," Francisco Gimenez notes. "But it is affordable, which is why they do it. At the high end, salons charge on average around $60 for base color, though it can go as low as $45 in some cities and is more like $100 or $150 in bigger metro areas."

The PriceGrabber guys concluded there could be an opening for a new brand priced about $25. In today's global marketplace, it would be easy to find suppliers to sell them professional-grade ingredients that go into hair coloring formulations – dyes, modifiers (to stabilize color tones), vitamins (to moisturize the hair), antioxidants, hydrogen peroxide (to remove the old color and activate the new dye), among others. The biggest challenge would be to figure out how to combine all these ingredients to mimic what a stylist does in customizing color for each woman who comes into a salon. "Can you formulate hair coloring for someone sight unseen?" Mourad says. "We had to figure out how to test that idea."

They first did a proof-of-concept test to see if women might be interested in buying customized color online. They created a rudimentary web site and then hand-mixed colors for about fifty women who had signed up, submitted a photo, and said what color they wanted. Then the women were asked if they liked the color better than the results they got with a do-it-yourself kit at a drug store. "We recruited people who were willing to put this product on their hair, with no idea who we really are. The results were positive enough for us to say we have something," he recalls.

The next step: tapping their knowledge of tech and data science to figure out how to replicate color customization on sale, for fifty thousand women, not just fifty. "We wanted to do something that was really innovative, not bullshit innovative," Mourad says.

Omar Mourad, Tamim's younger brother and another of PriceGrabber's co-founders, read everything he could about dyeing hair. "I didn't have any tangible color experience applying it on any person's hair. But I became a theoretical expert," Omar says.

Over the next several months, he and Gimenez took the lead in translating the rules of hair coloring into software that would determine the right customized mix to get the desired color. That can depend on a numerous variables: a woman's natural color, her current dyed color, how recently she dyed her hair, how much gray hair needs to be covered up, the texture and length of her hair. "You basically look at all of the combinations, and then build out a matrix for how to formulate," Omar explains. Using that knowledge, the team developed a questionnaire that included queries a stylist would ask a first-time customer. The questions themselves aren't rocket science. The rocket science happens when hundreds of thousands or millions of people answer the questionnaires, enabling you to gather more and more data to analyze.

The final step was to automate the formulation. In September 2010, the product was launched. As with an apprentice stylist, eSalon's formulations improved over time as the company got more customers and was able to gather more information. As of 2018, eSalon had dispensed 165,000 different formulations. That's out of a total, it calculates, of 2.2 octooctogintillion pigment variations (that would be 22 followed by 266 zeroes).

In 2019, rival L'Oreal introduced a new brand, Color&Co, that copied key features of eSalon, including an online quiz or a consultation with a colorist to help determine the "a unique custom-blend [color] made only for you." With competition ratcheting up, eSalon – with sales still a modest $30 million a year – agreed to sell a 51 percent stake to the German multinational Henkel. It cited the growing trend toward personalization and eSalon's "valuable customer insights" as reasons for its investment.

Lawrence Ingrassia's "Billion Dollar Brand Club" goes on sale January 28. He is a former business editor of the New York Times and managing editor of The Los Angeles Times.

California Passes Landmark AI Law as Russell Westbrook Backs Eazewell

🔦 Spotlight

Good Morning Los Angeles,

What do a new California law and Russell Westbrook’s latest startup have in common? AI at its most powerful and most personal.

California has officially passed the nation’s first AI safety law (SB 53). Signed by Governor Gavin Newsom, the measure requires companies developing large scale AI models to disclose risk assessments and safety testing. On the surface, it sounds procedural. But in practice, it is a potential reset on how quickly AI companies ship new products. For years, the narrative has been “innovation first, oversight later.” With this law, California is betting that transparency can move in tandem with progress. Whether it becomes a model for federal policy or a cautionary tale depends on how the industry responds.

Meanwhile, Eazewell, a newly launched startup co-founded by NBA All Star Russell Westbrook, is tackling one of the most difficult spaces in tech: end of life planning. The company offers an AI platform designed to guide families through complex care transitions. It is not the kind of space most founders rush into. It is emotional, often uncomfortable, and full of fragmented systems. But precisely because of that, the potential impact is significant. By blending AI with healthcare navigation, Eazewell is aiming to make one of life’s hardest processes less overwhelming. Westbrook’s involvement draws attention, but the real story is a startup willing to bring technology into conversations many people would rather avoid.

Taken together, these stories capture the stretch of AI right now. On one end, lawmakers are moving to contain its risks. On the other, founders are pushing it into the most intimate corners of our lives. It is not often that state legislation and end of life care land in the same conversation, but that is the reality of AI in 2025.

🤝 Venture Deals

      LA Companies

      • Midi Health raised $50M in a Series C round led by Advance Venture Partners. The women’s health startup, which focuses on perimenopause, menopause, and midlife care, claims a $150 million revenue run rate and is now building its own AI powered search engine tailored for women’s health. The funding will support scaling operations, expanding the longevity and care services it offers, and investing in AI and infrastructure to advance its platform. - learn more
      • PINC Technologies, a Caltech spinout, announced a $6.8M Seed+ round led by Quantonation, with backing from investors including Wilson Hill Ventures, Freeflow Ventures, Hamamatsu Ventures, Qubits Ventures, Santec, and the Caltech Seed Fund. The company develops integrated nonlinear photonic devices and circuits aimed at making scalable nonlinear photonics practical for real-world applications. The funding will be used to accelerate commercialization, scale the team, and bring the technology built in Caltech’s Nonlinear Photonics Lab into broader markets. - learn more
      • Swan announced a Series C financing to support the launch of Swan International, expanding its concierge Bitcoin wealth services globally under U.S.-regulated custody. The company also added a Head of Private Wealth to its team to lead this expansion into new markets. This move aims to position Swan as a high-touch, cross-border wealth platform anchored in crypto. - learn more
      • Vatom announced a strategic investment led by the Hilton Family Office, supporting its mission to power next-generation digital finance engagement. The funding will help Vatom deepen its infrastructure for tokenized assets, NFTs, and blockchain experiences across Web3 ecosystems. This injection positions the company to expand its reach and build tools that make digital finance more immersive and user-centric. - learn more

      LA Venture Funds

      • Powerhouse Capital led a growth funding round for Five Iron Golf UAE’s franchisees, backed by a network of investors and professional athletes. The capital is targeted to fuel expansion, new venues, and enhanced operations across the UAE market. This investment reflects confidence in pairing tech-driven sports entertainment with scalable hospitality models. - learn more
      • MTech Capital remains a backer as CyberCube announces a fresh infusion of more than $180M led by Spectrum Equity. The cyber risk analytics firm is using the capital to accelerate product innovation, expand globally, and deepen its presence across insurance, reinsurance, and broking markets. The investment will help CyberCube scale solutions that quantify cyber risk at portfolio levels and power smarter underwriting decisions. - learn more
      • Helena participated in Phaidra’s $50M Series B round, joining lead investor Collaborative Fund and backers like Index Ventures and NVIDIA. Phaidra builds AI systems to optimize energy, cooling, and operational efficiency in data centers, striving to help infrastructure run smarter. The new funding will be used to scale its platform, deepen customer deployments, and expand its reach in facility control and AI automation. - learn more
      • Lasagna joined DeepWork Capital, Florida Opportunity Fund, and Lookout Ventures in backing Circuitry.ai’s seed financing round. Circuitry.ai offers a Decision Intelligence platform that powers “Autonomous Service Journeys” for manufacturers, layering AI advisors, agents, and analytics to optimize service operations. The funding will help scale engineering and go-to-market teams, deepen integrations with service platforms, and expand the solution across industries like automotive, industrial systems, and medical devices. - learn more
      • B Capital led a $64M seed round in Axiom Math, the startup founded by a Stanford dropout aiming to build an AI system that not only solves the hardest math problems, but also invents new ones. Axiom has pulled talent from top places like Meta to push toward next-gen mathematical reasoning. The funds will support scaling research, expanding the team, and accelerating their vision of AI that thinks deeper in pure and applied math. - learn more
      • Alexandria Venture Investments and Wedbush Healthcare Partners joined the $205M capital raise for Crystalys Therapeutics, which emerged from stealth mode to fund late-stage trials of its gout treatment. The San Diego based biotech is pushing forward dotinurad, a once-daily oral drug being tested across U.S. and European trials for patients who don’t respond to first-line therapies. With this backing, Crystalys aims to fast-track clinical development and bring a needed second-line gout treatment to market. - learn more
      • GordonMD Global Investments joined new and existing backers in Star Therapeutics’ oversubscribed $125M Series D financing round. The biotech, co-led by Sanofi Ventures and Viking Global, is deploying the capital to push forward its lead program VGA039, a monoclonal antibody targeting bleeding disorders. The funds will help accelerate its clinical trials and advance its pipeline toward commercialization. - learn more
      • Hawke Ventures joined a funding round in Tie, which raised $10M in Series A to support its AI identity platform for e-commerce brands. Tie helps retailers reclaim hidden website visitors by identifying and enriching anonymous traffic to build better marketing audiences. The capital will go toward scaling the team, deepening integrations with commerce and marketing stacks, and expanding reach among D2C brands. - learn more
      • Foxhog Ventures led a ₹44.37 crore (~$5.3M USD) seed investment in Assessli, a Kolkata deep-tech startup developing what it calls “Large Behavioural Models” (LBMs) that combine genomics, psychology, and digital life data into highly personalized AI twins. The funding will support Assessli’s expansion into the U.S. and U.K., accelerate product commercialization, and increase its technical hiring to scale out its platform. - learn more
      • Bonfire Ventures participated in Alvys’ $40M Series B round, alongside RTP Global, Alpha Square Group, Titanium Ventures, Picus Capital, and others. Alvys offers an AI powered transportation management system (TMS) that streamlines freight operations including dispatch, load management, billing and analytics by automating workflows and integrating across platforms. The funding will help the company build out enterprise features, scale engineering, deepen integrations, and accelerate growth in the logistics and freight sector. - learn more
      • M13 participated in an $11M Series A round for Anything, an AI platform that turns natural-language prompts into production-ready mobile and web applications. Rather than just generating prototypes, Anything’s backend includes infrastructure like authentication, payments, and storage under the hood. With this funding, the company will scale development, expand its user base (now over 700,000), and deepen its platform capabilities to support full app deployment. - learn more
      • Halogen Ventures closed a $30M Fund III and has committed to invest in early stage startups in Alabama, becoming the first out of state VC to partner with Innovate Alabama’s InvestAL program. They have already begun deploying capital into the state, backing startups like Moxi, Auditocity and Croux, and are actively running pitch events to build a local pipeline. - learn more

      LA Exits

      • Griffin Club has been acquired by Bay Club, deepening Bay Club’s footprint in Los Angeles. Griffin Club is a legacy athletic, aquatic, and social club in West LA, known for features like tennis and pickleball courts, pools, wellness classes, and high-end amenities. Bay Club intends to bring Griffin into its LA campus and integrate it into its broader network of fitness and lifestyle clubs. - learn more
      • Beverly Hills Rejuvenation Center has been acquired by Motivant, with Sarah Gabriel installed as its new CEO. The deal brings the med spa franchise into Motivant’s portfolio, aligning it with a growth-focused investment platform. Gabriel’s appointment signals a strategic push to leverage new leadership and scale operations under Motivant’s guidance. - learn more

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            Salt AI Secures $10M to Untangle Healthcare’s Toughest Workflows

            🔦 Spotlight

            Hello Los Angeles,

            Not every startup raise deserves the spotlight, but this week’s news from Salt AI is worth paying attention to. The LA based company just closed a $10 million round led by Morpheus Ventures with participation from Struck Capital, Marbruck Investments and CoreWeave. The goal is to expand what it calls “contextual AI,” and if it works, it could quietly change how some of the most complex corners of healthcare get untangled.

            Healthcare is notorious for slow, clunky systems. Even the smallest workflow, like drug trial data, clinical documentation, or compliance reviews, can drag on for weeks because the tools were never built for speed. Salt AI is betting that the fix is not flashy consumer apps or billion parameter models, but something more practical: AI that slots directly into the day to day grind of life sciences. Their platform lets non technical teams visually build and deploy workflows that would normally take months of coding. Drag, drop, done.

            It sounds simple, but the implications are not. Imagine a biopharma team testing a new drug, able to cut through compliance hurdles in days instead of months. Or clinical researchers spinning up experiments and seeing usable results in real time. Salt AI’s pitch is not about replacing scientists, it is about giving them back time in an industry where time can literally mean lives.

            The new capital will help scale engineering, grow its customer footprint, and push further into healthcare and biopharma. But more importantly, it gives Salt AI the chance to prove that “contextual AI” is more than a buzzword. If they succeed, the company will not just chip away at bottlenecks, it could reshape how innovation itself moves through one of the world’s most heavily regulated and mission critical industries.

            🤝 Venture Deals

                LA Companies

                • Bonsai Health raised $7M in a seed round led by Bonfire Ventures and Wonder Ventures. The Santa Monica based company builds an agentic AI platform that automates front office healthcare workflows, things like patient outreach, scheduling and clinical follow-ups, working behind the scenes to keep patients connected to care and reduce administrative burden. It plans to use the funding to accelerate its specialty AI agents, expand into new medical specialties, and scale its commercialization nationwide. - learn more
                • Genstore raised a $10M Seed round led by Weimob, with participation from Lighthouse Founders’ Fund. The Los Angeles based startup is building an AI-native e-commerce platform that lets merchants launch and run online stores using conversational prompts, automating everything from product listings and copywriting to customer service. The funds will go toward accelerating product development, expanding into new markets, and refining features that simplify online commerce for small and midsized sellers. - learn more
                • TransAstra secured a $5M investment to scale its asteroid capture technology in partnership with NASA. The company aims to advance systems that can snag and repurpose small bodies in space, contributing to sustainable space infrastructure and debris mitigation. With this funding, TransAstra will expand development, deepen its relationship with NASA, and accelerate deployment of its capture hardware. - learn more

                LA Venture Funds

                • Fika Ventures led a seed round investing in MaxHome, joining BBG Ventures, Four Acres and 1Sharpe Ventures. MaxHome is building an AI-native platform focused on automating real estate transaction coordination, the messy, manual work that slows deals. Fika backed the team because it sees a huge opportunity in streamlining broker workflows, reducing errors, and improving the experience for agents and homebuyers alike. - learn more
                • MANTIS Ventures joined NEA, Sequoia, NVIDIA, J.P. Morgan and others in leading a $50M Series B for Factory, valuing the AI coding company at $300 million. Factory builds “droids,” AI agents that automate software development tasks across environments, and claims their platform now tops the Terminal Bench benchmark. With this capital, Factory aims to expand enterprise adoption, deepen integrations, and scale its engineering team globally. - learn more
                • SafeHill (formerly Tacticly) announced a $2.6M pre-seed round led by Mucker Capital, with participation from Chingona Ventures, Techstars, Chicago Early Growth Ventures, The Source Groups, and others. The Chicago-based cybersecurity startup is launching from stealth with SecureIQ, a continuous Threat Exposure Management platform that blends AI-driven testing with human validation to help organizations find and shore up attack paths. The funding will be used to expand engineering, enhance AI-assisted ethical hacking, deepen enterprise partnerships, and broaden compliance and monitoring capabilities. - learn more
                • Prototype Capital was among the investors in Nilo Technologies’ $4M seed round, alongside backers like Supercell, a16z Speedrun, KFund, and Flex Capital. Nilo is building an AI native 3D creation platform that makes game development more accessible, letting creators build interactive worlds in their browser without complex tooling. The funding will help accelerate product development, bring in more users as “Founding Builders,” and expand the platform’s capabilities for real time, multiplayer creation. - learn more
                • Rebel Fund participated in a $7.5M funding round for Indian fintech Gold Firm Gullak backed by Y Combinator. Gullak offers digital gold savings and lending solutions targeted at underbanked consumers in India. Rebel Fund’s investment will help Gullak scale operations, deepen financial inclusion, and expand its product offerings. - learn more
                • B Capital joined Wellington Management, General Catalyst and others in a $400M funding round for Capital Rx, which is rebranding as Judi Health. The company, which operates a pharmacy benefits management platform, will use the capital to expand into full-spectrum health benefits, integrating medical, dental and vision claims processing with its existing PBM capabilities. The move positions Judi Health as a unified tech backbone for benefits administration across employer and plan clients. - learn more
                • Supply Change Capital joined a seed funding round that raised $4.7M for Helios AI, a startup building the first AI co-pilot for food and agriculture supply chains. Helios’ platform combines climate modeling, commodity forecasting, and real-time data to help buyers and suppliers make smarter decisions in volatile markets. The funding will be used to scale the product, expand data coverage globally, and bring its AI tools to more players across the agri-food sector. - learn more

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                    ServiceTitan Ups the AI Stakes

                    🔦 Spotlight

                    Hello Los Angeles,

                    ServiceTitan is making it clear: the trades are getting a tech glow up. At its annual Pantheon conference in Glendale, the home services software giant rolled out a bold AI vision and topped it off with a fresh acquisition that could change the way HVAC contractors do business.

                    First, the AI. ServiceTitan unveiled what it calls the “next evolution” of its platform, and this is not just window dressing. Think automated call summaries so techs spend less time typing, predictive scheduling that knows when your AC is likely to fail before you do, and estimates that generate faster than a homeowner can ask, “So, how much is this going to cost me?” For small and mid sized contractors, these are the kinds of tools that level the playing field against the big chains and maybe even help them get home before dinner. It is AI built not for hype, but for the day to day grind of the trades, where minutes saved can mean jobs won and customers kept.

                    Then came the news that ServiceTitan is acquiring Conduit Tech, a Boston startup best known for its LiDAR powered HVAC design software. Instead of squinting at tape measures and crunching numbers in clunky spreadsheets, contractors can now scan a home, generate a 3D model, and deliver a polished, ACCA certified proposal on the spot. Translation: faster bids, more trust, and fewer “I will get back to you next week” moments.

                    Put together, the AI rollout and Conduit deal are more than product updates. They are a signal of where ServiceTitan wants to take the industry. This is not just software that keeps the books balanced or trucks dispatched. It is an attempt to make technology an advantage in a field where labor is scarce, expectations are high, and every interaction with a customer matters. In short, ServiceTitan is not just keeping the lights on, it is rewiring how the trades get work done.

                    🤝 Venture Deals

                        LA Companies

                        • Modern Animal has hit a $100M annual run rate and closed a new $46M funding round led by Addition, True Ventures and Upfront Ventures with participation from Founders Fund. The company delivers veterinary care both in clinics and virtually, and it is using the funds to expand services such as specialty care, 24/7 virtual access, integrated pharmacy and ecommerce, along with extended urgent care hours. The company also announced a board expansion with new leadership added to support scaling operations and enhancing its technology infrastructure. - learn more
                        • MarqVision raised a $48M Series B round led by Peak XV Partners, with participation from investors including Salesforce Ventures, HSG, Coral Capital, and returning backers like Y Combinator and Altos Ventures. Based in Los Angeles, MarqVision offers AI-powered brand protection tools—monitoring marketplaces, removing counterfeit listings, managing trademarks, and protecting brand reputation online. The new funds will go toward expanding its AI and engineering teams, accelerating automation, enabling enterprise-grade features, and growing its global presence in markets like Japan, Korea, China, Europe and beyond. - learn more
                        • Divergent Technologies raised $290M in a Series E round led by Rochefort Asset Management, with $250M in equity and $40M in debt, bringing its valuation to about $2.3 billion. Using its proprietary DAPS (Divergent Adaptive Production System) platform, the Torrance based company builds hardware for aerospace, defense and automotive sectors by combining rapid design, additive manufacturing and automated assembly. The new capital will help Divergent scale its manufacturing capacity, build out its team and develop new capabilities for upcoming product lines. - learn more
                        • Apex raised $200M in a Series D round led by Interlagos, giving the Los Angeles company a valuation above $1 billion. Apex builds configurable “satellite bus” platforms used by commercial and government clients, including for communications, sensing, and national security constellations. The capital will boost production capacity by 50 percent, expand its manufacturing footprint in Los Angeles, and strengthen vertical integration including acquiring propulsion technology and insourcing more subsystems. - learn more

                          LA Venture Funds

                          • Mantis Venture Capital joined Benchmark, Uncork, Y Combinator and Mayfield in backing Numeral’s $35M Series B, part of a $57M total funding haul. Numeral is an AI powered platform that automates everything around sales tax for e-commerce and SaaS brands including filing, remittance, exemption certificates, state registrations, nexus detection and more. The money will go to speeding up product innovation, building out its global compliance footprint, and adding smarter automation so finance teams can stop wrestling with tax rules and start scaling. - learn more
                          • Magnify Ventures participated in Series A for Seven Starling, contributing to an $8M funding round led by Rethink Impact. Seven Starling is a virtual women’s mental health company focused on maternal mental health, offering group therapy, medication management, patient advocates, and digital tools. The new capital will fuel its expansion into more U.S. states (aiming for over 30 by the end of 2026), deepen partnerships with healthcare providers, and scale its model to help more mothers. - learn more
                          • Calibrate Ventures led Vibranium Labs’ $4.6M seed round, joined by Mirae Asset and investors including a16z and Franklin Templeton. Vibranium Labs’ flagship product, “Vibe AI,” acts as a full-time AI incident engineer, monitoring, triaging, and resolving IT incidents automatically. The funds will be used to expand the engineering team, accelerate product development, and deepen integrations so Vibe AI can be embedded into more incident response systems across industries. - learn more
                          • B Capital led a $20M financing round in Extend, with additional participation by March Capital, Point72 Ventures, FinTech Collective, and Commerce Ventures. Extend, a spend-and-expense management platform, allows businesses to use virtual cards with their existing bank or card programs while offering workflow tools like receipt capture, approvals, and automated reconciliation. The new capital will help Extend scale issuer partnerships, launch new expense management services, accelerate its path to profitability, and the company also added Francois Horikawa as CFO to help guide the financial strategy forward. - learn more
                          • Alexandria Venture Investments joined Versant Ventures and Qiming Venture Partners USA in a $65M Series A for Dualitas Therapeutics, a South San Francisco company developing bispecific antibodies through its DualScreen discovery engine. Dualitas is advancing two lead programs, DTX-103 for allergic disease and DTX-102 for autoimmune conditions, both showing strong preclinical results. The funding will support these programs and expand the company’s platform to discover new bispecific candidates in immunology, inflammation and beyond. - learn more
                          • Oversubscribed Ventures joined a syndicate that invested in Noble Mobile’s $10 million seed round. Noble Mobile, founded by Andrew Yang, is a telecom startup offering unlimited data plans while giving customers cash back when they use less data. The funds will be used to launch operations, roll out its mobile virtual network service, and build features that encourage better digital wellness. - learn more
                          • Mantis Venture Capital participated in Doctronic’s $20M Series A round, which was led by Lightspeed Venture Partners and also backed by Union Square Ventures, Tusk Ventures, Seven Stars, and others. Doctronic is a healthcare AI startup building a platform for fast, personalized medical advice and virtual visits with licensed physicians, aiming to reduce wait times and costs. The new funds will help the company scale its operations across the U.S., expand partnerships with insurers and health systems, and extend its reach to more patients. - learn more
                          • Strong Ventures led a Series A round investing about ₩1 billion in Ares3, with Seoul National University Technology Holdings also participating. Ares3 runs florist subscription service “Honest Flower” for consumers and “FlowerGo,” a B2B platform for floral suppliers, with steady growth thanks to brand partnerships and solid demand. The new capital will help Ares3 extend its reach via offline experience locations and campaigns to shift public perception of flowers from luxury to everyday goods. - learn more
                          • Gold House Ventures participated in MedSetGo’s oversubscribed $2.4M seed round led by TurboStart. MedSetGo is an AI-driven healthcare company based in San Francisco that is working to streamline patient care transitions by helping people find and schedule the right care after discharge. The funding will go toward accelerating product development and hiring, especially expanding the engineering, data science, and commercialization teams. - learn more
                          • March Capital was among the investors in Lila Sciences’ $235M Series A round, which was co-led by Braidwell and Collective Global. Lila builds an autonomous science platform combining AI, robotics and software to automate the scientific method - generating hypotheses, designing experiments, running them, learning from results. The funds will be used to scale Lila’s “AI Science Factories,” expand globally in cities like Boston, San Francisco and London, and accelerate its ability to explore materials, chemistry, life sciences and diagnostics more quickly. - learn more

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