Company profile

Prodigal Tech Stack

AI voice agents and analytics for loan servicing and debt collections

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

Prodigal builds AI agents that handle consumer finance conversations for lenders and collectors. Its stack pairs real-time voice tooling (WebRTC, Deepgram, ElevenLabs, Cartesia) with a Databricks, Spark and MLflow data layer, pointing to production voice agents backed by in-house model operations. Job posts emphasize agent evaluation, rollout stability and ROI reporting, so the company appears to be moving from building agents to proving their value at customer accounts.

Tech Stack 34 technologies

Core StackAWS Kubernetes Istio Prometheus Grafana Databricks Python dbt Apache Spark MLflow Stripe Salesforce Zendesk MongoDB PostgreSQL AWS Lambda CloudFront Sentry CloudWatch Apache Airflow Tableau Karpenter SAST WebRTC Spark SQL ElevenLabs Cartesia Deepgram Razorpay AWS SQS+3 more

What Prodigal Is BuildingChallenges and projects from their job posts

◆Challenges

Inefficient lending and collections workflows
Legacy manual processes in the lending industry
Rollout instability during agent deployments
Measuring and reporting ROI for renewals
Driving customer adoption

▲Active Projects

AI agent deployment for loan servicing and collections
Agentic runtime for financial conversations
Real-time voice pipeline
Agent quality evaluation and performance testing framework
Channel affinity models and collections strategy pipelines
Cross-sell demos and account expansion

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering

Ops

Sales

Data

Finance

Marketing

Support

Seniority

Mid

Junior

Intern

Lead

Manager

Senior

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About Prodigal

Prodigal is a privately held company founded in 2018 and headquartered in Mountain View, California, with 51–200 employees. It sells AI software to lenders, loan servicers and debt collection agencies, applying conversational AI and speech analytics to recover more payments from consumers. Its product spans AI agents for servicing and collections, interaction analytics and collections strategy execution. The team runs on AWS with Kubernetes and hires in the United States and India.

HeadquartersMountain View, California

Company Size51–200 employees

Founded2018

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Prodigal use?

Prodigal runs on AWS with Kubernetes, Istio and Karpenter, uses Databricks, Spark, dbt, MLflow and Airflow for data, and builds voice features with WebRTC, Deepgram, ElevenLabs and Cartesia.

What is Prodigal working on?

Current work includes deploying AI agents for loan servicing and collections, an agentic runtime for financial conversations, a real-time voice pipeline, and an evaluation framework for agent quality.

Where does Prodigal hire?

Prodigal, headquartered in Mountain View, California, hires in the United States and India, with hiring accelerating across engineering, operations, sales and data roles.

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How this profile is built

Prodigal's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.