Prodigal的封面图片
Prodigal

Prodigal

软件开发

Mountain View,California 11,202 位关注者

Get more payments, faster, with the only genAI built for your business from Prodigal.

关于我们

Prodigal maximizes payments for lenders and debt collectors by building dynamic strategies and motivating consumers with highly engaging, personalized treatments. Our advanced genAI has been trained on over 400 million consumer finance conversations, delivering unmatched industry expertise so you can drive record recovery rates. Experience the power of intelligent debt resolution with Prodigal’s AI that pays. Prodigal is headquartered in Mountain View, California, and our global team is on a mission to build the intelligence layer that powers consumer finance. With the backing of domain experts, technology leaders, and top investors, including Accel, Menlo Ventures, and Y-Combinator, Prodigal is poised to become the next iconic vertical SaaS company.

网站
https://www.prodigaltech.com/
所属行业
软件开发
规模
51-200 人
总部
Mountain View,California
类型
私人持股
创立
2018
领域
Account Receivables Management、Credit and Collections、Artificial Intelligence、Machine Learning、Interaction Analytics、Business Intelligence、Audio Search、Voice Recognition、Consumer Finance、Speech Analytics、Contact Center Management、Revenue Cycle Management、Healthcare Providers、Lenders、Collections and Recovery、Quality Assurance、Compliance 、Real-Time Applications、Data Science、Customer and Patient Satisfaction、Natural Language Processing、AI、SaaS、Payments和GenAI

地点

Prodigal员工

动态

  • 查看Prodigal的组织主页

    11,202 位关注者

    Anshul Mittal engineered ProCollect to scale 10x effortlessly. As a founding engineer at Sensara and SALT, he is a fintech veteran. At Prodigal, he architected ProCollect from scratch. Technical expertise meets entrepreneurial drive. Now, as Lead Product Engineer, he’s redefining the future of consumer finance tech. Outside work, he’s playing squash, swimming, or napping with his cat. Read more here – https://lnkd.in/gXHdu-Ts

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  • 查看Prodigal的组织主页

    11,202 位关注者

    AI agents are everywhere these days. But reliable and trustworthy AI agents? Very few. That’s why we’ve built Prodigal’s Intelligence Engine (PIE)—the intelligence layer powering all of our solutions. Starting with ProAgent, our omnichannel AI agent and ScoreGenie, handling QA workflows end-to-end. What is PIE, exactly? PIE unifies data, embeds industry-specific business logic, and delivers actionable, accurate, and timely insights that fuel all of our agentic workflows. From automating QA processes with ScoreGenie to enabling ProAgent to manage omnichannel collections, PIE is the backbone of our intelligent systems. PIE is the foundation we built to create a future powered by specialized AI agents that work together to transform consumer finance. Read more – https://lnkd.in/gEgQMrsw

  • 查看Prodigal的组织主页

    11,202 位关注者

    Catch?Shantanu?discussing this year's pressing question: Are AI agents ready for debt collection?

    查看Shantanu Gangal的档案

    CEO @ Prodigal | genAI for lending

    ?? Excited to be speaking for the Credit Association of Greater Toronto on the burning question, Can AI-powered virtual agents truly handle collections calls effectively? I have this conversation often with collections leaders, and the statistics tell a compelling story: ?? Agent turnover at 40% ?? Wages up 24% ?? Account volumes rising at 52% of companies Yet AI adoption only grew from 11% to 18% I understand the skepticism. The human element feels essential. Compliance can't be compromised. Customer relationships matter. In this webinar, we'll demystify AI collection agents - showing where this technology excels, where it fails, and what realistic implementation looks like. What's becoming clear: Vertical-focused AI built specifically for collections is showing real promise and delivering results that generic solutions simply can't match. Comment "Register" to attend or receive the recording

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  • 查看Prodigal的组织主页

    11,202 位关注者

    Some people climb the ladder. Sumanyu built his own. Started as a Data Science intern. Led strategy. Built the team. Now shaping the future of our GenAI products with ProAgent. He is just 25, and he’s already redefining what’s possible. The young wise of Prodigal—leading, learning, and building. ?? Read about his journey here – https://lnkd.in/drZktc-A P.S. He’s right in the middle of the photo.

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  • Prodigal转发了

    查看Shantanu Gangal的档案

    CEO @ Prodigal | genAI for lending

    ?? Landed in Mumbai at 3 AM & straight to our annual Prodigal offsite! After a year of working hard, took the weekend to party harder ?? Why am I so excited? Because we're seeing change right in front of us. Change in technology, Change in the Lending vertical and most importantly, Change in Consumer behaviors. ?? Change = Uncertainty & Last year had dollops of it. But we shone through it and have emerged stronger and more focused. Our people stepped up, hunkered down, and locked arms to build a solid foundation -- to launch the next stage of our growth. ??? We have invested years to understand, catalog and sharpen a unique data edge. We appreciate the nuances that #agents in our #vertical need to navigate. This positions us perfectly to launch the next generation of AI agents for debt collections. And now, with the overwhelming demand for #ProAgent we’re set to make a massive impact in the vertical AI-agents building upon our data edge, industry understanding and customer trust. ?? If you’re passionate about #genAI, driven to solve problems that impact millions, and want to be part of something truly transformative, DM me. Let’s build the next big thing in the Consumer Fin-AI. #genAI #Prodigal

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  • 查看Prodigal的组织主页

    11,202 位关注者

    This tax season is off to a slow start for collections. ?? Refunds processed are down 3.8% (42.4M vs. 44.07M last year). ?? Average refund is up 7.5% to $3,453—a key metric for prioritizing accounts. ?? Total refunds expected to match last year, just delayed. The opportunity isn’t gone—it’s just shifted. Adjust your tax season strategy, time outreach right, and focus on the right accounts to drive higher collections. Here's how to adapt to the IRS refund data - https://lnkd.in/dadheUtC #DebtCollection #TaxSeason #CollectionsStrategy

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