Prodigal Tech Stack

AI voice agents for loan servicing and collections optimization

Software Development Mountain View, California 51–200 employees Founded 2018 Privately Held

Prodigal builds AI voice agents purpose-built for loan servicing and collections, trained on 400M+ consumer finance conversations. The tech stack reveals a voice-first product: Deepgram and ElevenLabs for speech recognition and synthesis, WebRTC for real-time interactions, plus Databricks and dbt for training-data pipelines. Engineering dominance in hiring (10 of 21 active roles) and a full project roadmap around agentic AI and LLM reasoning signal heavy R&D lift toward autonomous negotiation and recovery workflows.

Tech Stack 29 technologies

Core StackPySpark MLflow Python Stripe Salesforce Zendesk MongoDB PostgreSQL AWS AWS Lambda CloudFront Sentry CloudWatch Prometheus Grafana Databricks dbt Apache Airflow Tableau Power BI AWS CloudFront SQL ElevenLabs Cartesia Deepgram WebRTC Razorpay AWS SQS R

What Prodigal Is Building

◆Challenges

Inefficiencies in lending and collections
Confusion in lending and collections
Reducing inefficiencies in loan servicing
Improving compliance guardrails
Reducing latency in voice interactions
Seamless integration of payment and crm systems
Complex third-party api integration
Improving recoveries and channel performance

▲Active Projects

Voice ai agents
Ai agent roadmap development
Agentic ai applications for loan servicing and collections
Implementation and onboarding of prodigal’s intelligence engine
Llm reasoning
Prompt engineering methodologies
Agent loop & reasoning
Voice ai systems
Llm infrastructure
Customer training and onboarding programs

Hiring Activity

Steady20 roles · 6 in 30d

Department

Engineering

Ops

Sales

Product

Data

Marketing

Support

Seniority

Mid

Senior

Lead

Junior

Manager

Intern

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About Prodigal

Prodigal sells AI-powered collections software to lenders and debt-collection firms. The product uses generative AI to generate personalized payment strategies and conduct voice-based interactions with consumers, aiming to improve recovery rates and payment velocity. The platform integrates with payment processors (Stripe, Razorpay), CRM systems (Salesforce, Zendesk), and loan-management infrastructure via APIs and webhooks. The company operates across the United States and India, with 51–200 employees founded in 2018 and headquartered in Mountain View.

HeadquartersMountain View, California

Company Size51–200 employees

Founded2018

Hiring MarketsIndia, United States

Frequently Asked Questions

What is Prodigal's AI trained on?

Prodigal's generative AI has been trained on over 400 million consumer finance conversations, targeting expertise in lending and collections workflows.

What tech stack does Prodigal use?

Core: Python, PySpark, SQL, PostgreSQL, MongoDB. Voice: Deepgram, ElevenLabs, WebRTC. Data: Databricks, dbt, MLflow, Apache Airflow. Integrations: Stripe, Razorpay, Salesforce, Zendesk.