Prodigal’s cover photo
Prodigal

Prodigal

Software Development

Mountain View, California 11,312 followers

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

About us

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.

Industry
Software Development
Company size
51-200 employees
Headquarters
Mountain View, California
Type
Privately Held
Founded
2018
Specialties
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, and GenAI

Locations

Employees at Prodigal

Updates

  • Prodigal reposted this

    View profile for Prashant Banthia

    Leading DevOps and Infosec @ Prodigal☁️☸️🛡️ | AWS | Azure | CKA | Networks | Security

    At Prodigal, we’ve always been an AI-first company, embracing new tools and AI agents to boost our productivity. It's common to see our Devin working side by side with our engineers. And the ubiquitousness of AI tools like Cursor and Claude Code as part of our daily workflows 🤖 Personally, I've always been fascinated by LLMs, and have always wanted to find a way to make my DevOps workflows more conversational. In the past, my attempts involved a lot of API calls, trial-and-error testing, and a messy patchwork of solutions. Eventually, the complexity led me to give up and revert to the old manual way. That was until my friend Dhruv Grover 🙌 started talking about MCP Servers and how they were the next big thing in GenAI. After hearing his talk and seeing his experiments, I realized this could be the breakthrough I needed to finally make my workflows truly conversational. The early results from my experiments with Amazon Web Services (AWS)’s MCP servers are looking promising. Here's a quick snapshot: with just a single prompt in Claude Desktop, I was able to analyze our data transfer costs over the past 10 days and identify opportunities to save 30-50% in costs. This is just the start! We’re also exploring other ways to leverage MCP servers and LLMs to: ⏰ Analyze incidents based on CloudWatch alarms, metrics, and logs 💰 Suggest and apply cost-saving recommendations (like EBS right-sizing, lifecycle policies on S3, etc.) ⚙️ Manage and change infrastructure using natural language, while maintaining IaC in source control 🛡️ Boost security and compliance, ensuring our apps meet industry standards We’re already seeing great results, and I truly believe this opens up huge potential for automating DevOps/MLOps, all while optimizing for both efficiency and security. I’ll keep posting updates as we continue experimenting and discovering new breakthroughs. Would love to hear what others are doing with MCP! #MCPServers #AWS #DevOps

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  • Prodigal reposted this

    View profile for Shantanu Gangal

    CEO @ Prodigal | genAI for lending

    We're coming off a crazy strong quarter, massively expanding our offering and substantially growing our topline + bottomline. We have a self accelerating flywheel of growth that builds upon i. deep understanding of our customers' pains, ii. prepacked workflows and integrations that just work and iii. proprietary data & intelligence for humans, first and agents, now. Hiring key roles across functions. See listing in comments ↘️ or DM me!

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  • Prodigal reposted this

    View profile for Shantanu Gangal

    CEO @ Prodigal | genAI for lending

    This is the topic everyone is talking about: Unified intelligence – turning the data from our various systems into actionable, timely, and accurate insights for better liquidations and proactive outreach. In the latest Receivables Info podcast, Adam and Jack Mahoney from National Credit Adjusters, LLC discussed how data is driving more proactive and reactive strategies in the industry. John from Credit Systems International, Inc. raised a crucial question: How is your organization truly maximizing the value of the data you collect? 💡 All of these discussions point to one thing: the need for unified intelligence. We need a platform that connects systems of record and systems of engagement, creating a seamless flow of insights across the business. This unified intelligence empowers smarter decision-making, pulling together insights from AI agents, predictive models, operational systems, and customer interactions. Interested in building this unified platform? I’m speaking at an ACA Hot Topic Session with Carl Christensen from Professional. Join us, and let’s explore how to maximize the impact of your data and prepare for the future.

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  • Transforming growth at Prodigal, Sourav embodies hustle. Scaled teams and systems from the ground up. Launched a demand capture initiative. Generated a $2M pipeline in three months. Bridged marketing and sales for seamless growth. A leader who drives results with vision and action. Learn more about Sourav, our Growth Lead – https://lnkd.in/d3xJRTR5 PS - Sourav (right most) with his army :)

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  • 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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  • View organization page for Prodigal

    11,312 followers

    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

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Funding

Prodigal 2 total rounds

Last Round

Series A

US$ 12.0M

See more info on crunchbase