
阿里·马利克并不怎么担心AI炒作周期。当硅谷还在争论通用人工智能的理念问题时,马利克已经在自己卧室里搭建起了一套更可持续、更务实,也更赚钱的系统,用来帮助催收人员和贷款专员回收债务。他与联合创始人穆昆德·提布雷瓦拉一道,着手将金融领域最辛苦、监管最严格、人员流动率最高的环节之一实现自动化。
两年后,这份专注带来了回报。马利克现任Salient的首席执行官。这家垂直AI初创公司通过切入贷款服务市场,已悄然在金融科技领域站稳脚跟。Salient的软件可以为汽车贷款机构自动化处理从催收电话到支付处理在内的一整套流程,而这些工作过去主要依赖呼叫中心和人工操作。
马利克在接受《财富》杂志采访时表示:“这是经济体系中一个长期被技术忽视的领域,消费者往往只能自行应对,他们既不了解自己的权利,也不清楚相关流程。正因如此,我们认为AI在这个领域有巨大潜力,AI解决方案带来的提升并非二三成,而是能带来十倍级的效果。”
至少在AI泡沫的大背景下,Salient增长迅速,但秉持着稳健的策略。公司成立仅18个月,便完成了由安德森·霍洛维茨(Andreessen Horowitz)领投的6,000万美元A轮种子融资,截至2025年6月,估值达3.5亿美元。马利克向《财富》杂志透露,Salient的年度经常性收入(ARR)目前已突破2,500万美元,几乎是六个月前公布的1,400万美元的两倍。投资者持续加码。内部人士称,公司随后又完成了约1,000万美元的追加融资,估值由此攀升至约5亿美元。
市面上不乏年度经常性收入快速攀升的案例,其中有些数据的可靠性各不相同。但Salient的突出之处在于其客户留存率和流失率。马利克表示,公司至今从未流失过任何一位客户,所有试点项目均成功转化为付费合作;而整个B2B行业的平均年客户流失率接近5%,在AI金融工具和金融科技领域,年客户流失率更是高达22%至76%。
AI金融科技产品的客户流失问题尤为突出,这主要由于它所服务的金融行业本身固有的监管与合规压力。马利克认为,Salient之所以能够赢得金融机构和客户的信任,关键在于其模型已经用事实证明了自身的成功。据他透露,Salient的AI代理在合规性方面的表现,比人工坐席高出30倍。
这些实打实的成功也得到了客户的认可。马利克表示,Salient的客户留存率“非常高”,且客户的投入规模逐月、逐年持续增加。
尽管目前美国前十大汽车贷款机构中,有五家以上已与Salient达成合作,但在马利克看来,Salient的下一阶段发展远不止于签约更多贷款机构。如今,Salient每天处理数百万次通话,累计处理的交易金额也已超过10亿美元,这既体现了市场需求,也凸显了其所瞄准问题的规模。美国每年新增汽车贷款约8,000亿美元,近80%的美国家庭背负着某种形式的债务。马利克指出,贷款机构每年仅在债务清偿环节的支出就高达约200亿至300亿美元,用于支付人工催收电话、信函寄送以及还款协商等成本。
Salient的目标是通过成为马利克所说的“自主记录系统”,来抢占这部分支出份额。该系统是一套贷款生命周期管理软件,涵盖从贷款发放到结清的所有环节,整个流程无需人工介入。
马利克表示:“我们认为,实现贷款服务全流程自动化是可行的,我们希望尽快实现这一目标。”
要实现这一目标,Salient不能局限于其核心催收产品。马利克表示,公司计划开发贷款管理系统、信用报告模块以及坏账核销模块,从而将Salient扩展为全栈式贷款服务平台。他补充说,现有产品的价值已经得到验证:客户的贷款服务成本效率提升了约50%。
马利克表示,Salient以客户信任为导向进行资金配置。他对《财富》杂志表示:“我们必须成为一家能够跨越周期的公司,因为客户在我们身上投入了大量资源,而且我们必须确保自身的财务稳定。因此,我们只有在深信某一产品能够规模化运作时,才会投入资本,并希望尽快实现价值落地。”
他补充说,公司并不打算在未来几年快速烧钱。此外,Salient的运营成本远低于基础AI公司,因为它不涉足模型预训练业务。
Salient的资金将主要投向相邻业务流程的拓展,例如贷款机构如何与车辆管理部门(DMV)交互,以及如何进一步完善贷款回收流程。还有一部分资金将用于新技术的探索与试验——这种持续探索精神正是Salient自创立以来的核心特质。
2023 年,马利克和提布雷瓦拉创办Salient时,他们接触过的几乎所有贷款机构都拒绝了他们。为了突破困境,两人进行了一次别出心裁的“图灵测试”。他们打造了一个演示程序:用AI合成的史蒂夫·乔布斯的声音,给贷款机构打电话,协商汽车贷款事宜。
马利克表示:“我们之所以选择史蒂夫,是因为他的声音辨识度最高。我们想用一种直观的方式证明,这项技术已经高度逼真,成为行业常态只是时间问题。”
这个策略果然奏效。马利克回忆道:“我们给前五六个客户播放了这段演示。所有人的反应都是:‘天哪,这也太不可思议了。’”
但拿下订单只是第一道难关。Salient的第一个重要客户是次级汽车贷款机构西湖金融(Westlake Financial)。当西湖金融同意进行试点时,马利克和提布雷瓦拉并非仅仅交付了一个API接口,而是直接入驻了该公司的办公室,在现场设立工位,确保AI不会出现“幻觉”,也不会触碰复杂的债务催收法律红线。
马利克认为,这种近乎偏执狂的“对客户的极端重视”,正是Salient最大的竞争优势,这种心态可以追溯到他在高盛(Goldman Sachs)以及后来在特斯拉(Tesla)工作的经历。Salient的工程师会直接嵌入客户团队,每一位合作伙伴都有马利克的私人手机号。他表示:“我们的工程师直接对接的是美国最大金融机构的业务负责人。他们对自己向客户作出的承诺负有更直接的责任,这就打造了一个目标更加一致的工程协作体系。大家都清楚要做什么、该如何去做。”
对于希望复制Salient成功路径的创业者,马利克给出的建议一针见血:离开硅谷。他建议:“去其他任何地方都行。与行业之外的人交流,像人类学家一样去观察研究,融入一个你并不了解的群体。这样一来,你会发现那些极具改造潜力的低效环节。”(财富中文网)
译者:刘进龙
审校:汪皓
阿里·马利克并不怎么担心AI炒作周期。当硅谷还在争论通用人工智能的理念问题时,马利克已经在自己卧室里搭建起了一套更可持续、更务实,也更赚钱的系统,用来帮助催收人员和贷款专员回收债务。他与联合创始人穆昆德·提布雷瓦拉一道,着手将金融领域最辛苦、监管最严格、人员流动率最高的环节之一实现自动化。
两年后,这份专注带来了回报。马利克现任Salient的首席执行官。这家垂直AI初创公司通过切入贷款服务市场,已悄然在金融科技领域站稳脚跟。Salient的软件可以为汽车贷款机构自动化处理从催收电话到支付处理在内的一整套流程,而这些工作过去主要依赖呼叫中心和人工操作。
马利克在接受《财富》杂志采访时表示:“这是经济体系中一个长期被技术忽视的领域,消费者往往只能自行应对,他们既不了解自己的权利,也不清楚相关流程。正因如此,我们认为AI在这个领域有巨大潜力,AI解决方案带来的提升并非二三成,而是能带来十倍级的效果。”
至少在AI泡沫的大背景下,Salient增长迅速,但秉持着稳健的策略。公司成立仅18个月,便完成了由安德森·霍洛维茨(Andreessen Horowitz)领投的6,000万美元A轮种子融资,截至2025年6月,估值达3.5亿美元。马利克向《财富》杂志透露,Salient的年度经常性收入(ARR)目前已突破2,500万美元,几乎是六个月前公布的1,400万美元的两倍。投资者持续加码。内部人士称,公司随后又完成了约1,000万美元的追加融资,估值由此攀升至约5亿美元。
市面上不乏年度经常性收入快速攀升的案例,其中有些数据的可靠性各不相同。但Salient的突出之处在于其客户留存率和流失率。马利克表示,公司至今从未流失过任何一位客户,所有试点项目均成功转化为付费合作;而整个B2B行业的平均年客户流失率接近5%,在AI金融工具和金融科技领域,年客户流失率更是高达22%至76%。
AI金融科技产品的客户流失问题尤为突出,这主要由于它所服务的金融行业本身固有的监管与合规压力。马利克认为,Salient之所以能够赢得金融机构和客户的信任,关键在于其模型已经用事实证明了自身的成功。据他透露,Salient的AI代理在合规性方面的表现,比人工坐席高出30倍。
这些实打实的成功也得到了客户的认可。马利克表示,Salient的客户留存率“非常高”,且客户的投入规模逐月、逐年持续增加。
尽管目前美国前十大汽车贷款机构中,有五家以上已与Salient达成合作,但在马利克看来,Salient的下一阶段发展远不止于签约更多贷款机构。如今,Salient每天处理数百万次通话,累计处理的交易金额也已超过10亿美元,这既体现了市场需求,也凸显了其所瞄准问题的规模。美国每年新增汽车贷款约8,000亿美元,近80%的美国家庭背负着某种形式的债务。马利克指出,贷款机构每年仅在债务清偿环节的支出就高达约200亿至300亿美元,用于支付人工催收电话、信函寄送以及还款协商等成本。
Salient的目标是通过成为马利克所说的“自主记录系统”,来抢占这部分支出份额。该系统是一套贷款生命周期管理软件,涵盖从贷款发放到结清的所有环节,整个流程无需人工介入。
马利克表示:“我们认为,实现贷款服务全流程自动化是可行的,我们希望尽快实现这一目标。”
要实现这一目标,Salient不能局限于其核心催收产品。马利克表示,公司计划开发贷款管理系统、信用报告模块以及坏账核销模块,从而将Salient扩展为全栈式贷款服务平台。他补充说,现有产品的价值已经得到验证:客户的贷款服务成本效率提升了约50%。
马利克表示,Salient以客户信任为导向进行资金配置。他对《财富》杂志表示:“我们必须成为一家能够跨越周期的公司,因为客户在我们身上投入了大量资源,而且我们必须确保自身的财务稳定。因此,我们只有在深信某一产品能够规模化运作时,才会投入资本,并希望尽快实现价值落地。”
他补充说,公司并不打算在未来几年快速烧钱。此外,Salient的运营成本远低于基础AI公司,因为它不涉足模型预训练业务。
Salient的资金将主要投向相邻业务流程的拓展,例如贷款机构如何与车辆管理部门(DMV)交互,以及如何进一步完善贷款回收流程。还有一部分资金将用于新技术的探索与试验——这种持续探索精神正是Salient自创立以来的核心特质。
2023 年,马利克和提布雷瓦拉创办Salient时,他们接触过的几乎所有贷款机构都拒绝了他们。为了突破困境,两人进行了一次别出心裁的“图灵测试”。他们打造了一个演示程序:用AI合成的史蒂夫·乔布斯的声音,给贷款机构打电话,协商汽车贷款事宜。
马利克表示:“我们之所以选择史蒂夫,是因为他的声音辨识度最高。我们想用一种直观的方式证明,这项技术已经高度逼真,成为行业常态只是时间问题。”
这个策略果然奏效。马利克回忆道:“我们给前五六个客户播放了这段演示。所有人的反应都是:‘天哪,这也太不可思议了。’”
但拿下订单只是第一道难关。Salient的第一个重要客户是次级汽车贷款机构西湖金融(Westlake Financial)。当西湖金融同意进行试点时,马利克和提布雷瓦拉并非仅仅交付了一个API接口,而是直接入驻了该公司的办公室,在现场设立工位,确保AI不会出现“幻觉”,也不会触碰复杂的债务催收法律红线。
马利克认为,这种近乎偏执狂的“对客户的极端重视”,正是Salient最大的竞争优势,这种心态可以追溯到他在高盛(Goldman Sachs)以及后来在特斯拉(Tesla)工作的经历。Salient的工程师会直接嵌入客户团队,每一位合作伙伴都有马利克的私人手机号。他表示:“我们的工程师直接对接的是美国最大金融机构的业务负责人。他们对自己向客户作出的承诺负有更直接的责任,这就打造了一个目标更加一致的工程协作体系。大家都清楚要做什么、该如何去做。”
对于希望复制Salient成功路径的创业者,马利克给出的建议一针见血:离开硅谷。他建议:“去其他任何地方都行。与行业之外的人交流,像人类学家一样去观察研究,融入一个你并不了解的群体。这样一来,你会发现那些极具改造潜力的低效环节。”(财富中文网)
译者:刘进龙
审校:汪皓
Ari Malik doesn’t spend much time worrying about AI hype cycles. While Silicon Valley debated the philosophy of artificial general intelligence, Malik was building something far more sustainable, prosaic—and profitable—from his bedroom: a system to help repo men and loan officers collect debt. Alongside co-founder Mukund Tibrewala, Malik set out to automate one of the most grueling, regulated, and high-turnover corners of finance.
Two years later, that focus has paid off. Malik is now the CEO of Salient, a vertical AI startup that has quietly become a force in fintech by taking on loan servicing. The company’s software automates everything from collections calls to payment processing for auto lenders, a function historically dominated by call centers and manual workflows.
“This is an area of the economy that has so been left behind by technology, and that consumers are, by and large, left to fend for themselves, that they often don’t know their rights, they often don’t know their processes,” he told Fortune. “And so we thought there’s a huge potential here for AI to be like a 10x solution, rather than a 20 to 30% improvement.”
Salient’s growth has been swift but conservative (at least, in the context of the AI bubble). Just 18 months after inception, Salient raised $60 million in a Seed A round led by Andreessen Horowitz, reaching a valuation of $350 million as of June 2025. Malik told Fortune that Salient’s annualized recurring revenue has now surged past $25 million—nearly double the $14 million figure reported six months ago. Investors have continued to lean in. Insiders say the company has since raised an additional $10 million, pushing its valuation to around $500 million.
There’s no shortage of rapid-rise ARR numbers out there (some of which are more reliable than others). But where Salient stands out particularly, however, is in its retention and churn rate. Malik says the company has never churned a customer and has converted 100% of its pilots into paid deals, even as average B2B churn across the industry approaches 5% annually and, for AI financial tools and fintech, spans from 22% to 76% annually.
AI fintech products have struggled especially with churn due to the regulatory and compliance concerns intrinsic to the industry for which they are created. Salient, Malik says, has managed to instill confidence in financial institutions and clients by demonstrating the model’s proven success. According to Malik, Salient’s AI agents have demonstrated 30 times more compliance than human agents.
This documented success has not gone unnoticed by customers. Salient’s usage retainers are “very high” and its clients, Malik said, are constantly doubling down month-over-month, year-over year.
The next chapter for Salient, Malik argues, extends far beyond signing more lenders—though Salient already works with more than five of the top ten auto lenders. The company is now processing millions of calls per day, and has already processed more than $1 billion in transactions, a signal of both demand and the scale of the problem it is targeting. Each year, roughly $800 billion in new auto debt is issued in the U.S., and nearly 80% of U.S. households have some debt. Lenders spend an estimated $20 billion to $30 billion just servicing that debt, paying humans to make phone calls, send letters, and negotiate payments, according to Malik.
Salient’s ambition is to capture that spend by becoming what Malik calls the “autonomous system of record”—software that can manage the entire lifecycle of a loan, from origination to payoff, without human intervention.
“We think making servicing a fully touchless process is on the table, and we want to get to it as fast as humanly possible,” Malik says.
Reaching that goal means expanding beyond Salient’s core collections product. Malik says the company plans to build a loan management system, a credit reporting module, and a charge-off module, effectively broadening Salient into a full-stack servicing platform. The existing product, he adds, has already proven its value: clients have seen servicing cost efficiencies of 50%.
Malik says the way Salient deploys its capital is guided by customer trust. “We need to be a generational company, because they invest a lot in us, and we need to make sure that we are stable financially,” he told Fortune. “And so when we invest capital, it’s because we have a really strong conviction that this is a product that could work at scale, and we want to make this realize value as fast as possible.”
The company, he said, has no desire to burn through cash quickly in the coming years. And Salient’s operating costs are much smaller than foundational AI companies because the firm doesn’t engage in pre-training.
Instead, investments will go toward adjacent workflows, including how lenders interact with the DMV and how they perfect loan recovery processes. Another portion will be reserved for experimentation with new technology—something that has defined Salient since its earliest days.
When Malik and Tibrewala launched Salient in 2023, nearly every lender they pitched dismissed them. To break through, they ran an unconventional Turing test. The founders built a demo in which an AI voice clone of Steve Jobs called lenders to negotiate an auto loan.
“We picked Steve because it was the most recognizable voice,” Malik says. “We wanted to make it illustrative that this tech is getting so lifelike that it’s just a matter of time before it becomes the status quo.”
The stunt worked. “Our first five or six customers, we just played them that demo,” Malik says. “They were all like, ‘Oh my god, this is crazy.’”
Winning deals, however, was only the first hurdle. Salient’s first major client was Westlake Financial, a large subprime auto lender. When Westlake agreed to a pilot, Malik and Tibrewala didn’t just ship an API. They physically moved into Westlake’s offices, setting up desks onsite to ensure the AI didn’t hallucinate or violate complex debt-collection laws.
That level of “rabid customer obsession,” Malik says, is Salient’s moat—a mindset he traces back to his time at Goldman Sachs and later at Tesla. Engineers are embedded directly with customers, and every Salient partner has Malik’s personal cell number. “Our engineers directly interface with their business counterparts at the largest financial institutions in the U.S.,” he says. “They’re much more responsible to what they promised a customer, which creates a much more aligned engineering world. We all know what we need to build and how we need to do it.”
For founders hoping to replicate Salient’s success, Malik’s advice is pointed: leave Silicon Valley. “Go anywhere else,” he says. “Talk to anybody in a different industry. Become an anthropologist. Embed yourself in a community you don’t know—and you’ll find these super ripe inefficiencies.”