Skit.ai Tech Stack

AI voice and omnichannel platform for debt collections automation

Software Development New York 201–500 employees Founded 2016 Privately Held

Skit.ai operates a generative AI platform purpose-built for collections, deployed across voice, SMS, email, and chat. The tech stack—Python, Go, PostgreSQL, Kubernetes, OpenAI API, Twilio, and WhatsApp integration—supports high-volume conversational automation. Current project focus spans voice bot reliability, multi-channel orchestration, and agentic AI, while pain points around bot reliability and voice quality on constrained bandwidth suggest the company is still hardening core agent performance at scale.

Tech Stack 44 technologies

Core StackJira Python Go PostgreSQL gRPC Docker Kubernetes Salesforce HubSpot ZoomInfo Redis Celery AWS Power BI Tableau Metabase RAG Mailchimp Twilio Terraform Excel Google Sheets Django REST Framework SQL Avaya WhatsApp Zoho OpenAI API GCP Azure+14 more

What Skit.ai Is Building

◆Challenges

Improving bot reliability
Manual operational tasks
Ensuring compliance with regulatory guidelines
Improving collections efficiency
Client integration issues
Reducing bounce rates
Identifying performance gaps
Meeting performance targets
Smooth transition from onboarding to activation
Ensuring voice quality on low bandwidth

▲Active Projects

Voice bot testing
Multi-channel orchestration enhancement
Revenue target strategy
Prompt template development
Live project audits
Deployment qa checks
Core intelligence engine
Agentic ai platform
Voice ai solution optimisation
Data tagging and annotation

Hiring Activity

Minimal40 roles · 4 in 30d

Department

Ops

Engineering

Sales

Product

Support

Data

Seniority

Mid

Senior

Junior

Lead

Manager

Director

Notable leadership hires: Head of Revenue, Sales Director

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About Skit.ai

Skit.ai is a debt collections platform that automates consumer conversations across the collections lifecycle using generative AI. The platform handles routine interactions—payment reminders, right-party verification, promise-to-pay capture, payment processing, dispute intake—and routes complex cases to human agents with full context. Creditors, collection agencies, and financial institutions use Skit to reduce cost-per-contact, improve recovery rates, and maintain compliance with federal and state contact policies and consent requirements. The company operates at 201–500 employees across the United States and India, with engineering, ops, and sales forming the core departments.

HeadquartersNew York

Company Size201–500 employees

Founded2016

Hiring MarketsIndia, United States

Frequently Asked Questions

What technology does Skit.ai use to power its platform?

Skit.ai runs on Python, Go, PostgreSQL, Kubernetes, and AWS/GCP. Voice and messaging integrations use Twilio, WhatsApp, and OpenAI APIs. The stack also includes Celery for task queuing, Redis for caching, and BI tools like Power BI and Tableau for reporting.

What is Skit.ai currently building?

Active projects include voice bot testing and optimization, multi-channel orchestration enhancements, prompt template development, an agentic AI platform, and core intelligence engine improvements. The company is also running live project audits and deployment QA checks.