Skit.ai Tech Stack

Voice AI platform for debt collections and recovery automation

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

Skit.ai operates a voice-first omnichannel AI platform targeting collections and recovery workflows. The tech stack reflects a voice-native, real-time systems architecture: Python + Go, Kafka + RabbitMQ for event streaming, GCP/AWS/Azure for multi-cloud deployment, and specialized telecom codecs (G.711, G.729) and tools (Wireshark, sngrep) for call quality and diagnostics. Project focus on low-latency voice pipelines, SIP migration, and backend throughput scaling—combined with pain points around fault tolerance and voice quality on constrained networks—indicates they're optimizing for high-volume, high-reliability voice automation in emerging markets.

Tech Stack 45 technologies

Core StackJira Metabase Python RAG AWS Kubernetes Docker Terraform Ansible Prometheus Loki Grafana PostgreSQL Superset Tableau Google Analytics Mixpanel Twilio Go Apache Kafka RabbitMQ Zoho GCP Azure CleverTap G.711 G.729 Wireshark sngrep Zoho Books+15 more

What Skit.ai Is Building

◆Challenges

Maintaining low latency
Scaling backend throughput
Disconnected collection channels
Migrating legacy pri lines to sip
Resolving circuit outages
Ensuring voice quality on low bandwidth
Inefficient accounting workflows
Complex monthly close process
Scaling backend for millions of calls
Ensuring fault tolerance and high availability

▲Active Projects

Real-time voice ai pipeline
Dialer strategy & campaign management
Custom bot development
Campaign performance optimization
Client onboarding integration
Voice bot development for indian clients
Rag retrieval logic for banking domain
Integrate bot into bank's workflow
Custom dashboards for bot health
Customer feedback analysis for voicebot

Hiring Activity

Accelerating15 roles · 4 in 30d

Department

Engineering

Sales

Data

Finance

Ops

Seniority

Senior

Mid

Manager

Lead

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About Skit.ai

Skit.ai builds an omnichannel AI platform purpose-built for debt collections, enabling creditors and collection agencies to automate consumer conversations across voice, SMS, email, and chat. The platform handles routine collection interactions end to end—payment reminders, right-party verification, promise-to-pay capture, payment processing, dispute intake—while routing complex cases to human agents with full context. Built-in compliance controls support federal and state contact policies, consent, and audit-ready records. The company is based in New York and operates with 201–500 employees, with active engineering and sales teams primarily hiring in India.

HeadquartersNew York

Company Size201–500 employees

Founded2016

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Skit.ai use?

Python, Go, PostgreSQL, Kafka, RabbitMQ, Kubernetes, Docker, Terraform on GCP/AWS/Azure. Observability via Prometheus, Loki, Grafana. Voice-specific: Twilio, G.711/G.729 codecs, Wireshark, sngrep for call diagnostics. Analytics: Metabase, Superset, Tableau, Mixpanel, CleverTap.

What is Skit.ai working on?

Real-time voice AI pipelines, dialer strategy and campaign management, custom bot development for banking and collections, campaign performance optimization, voice bot development for Indian clients, RAG retrieval logic for banking domain, and customer feedback analysis for voicebots.

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How this profile is built

Skit.ai'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.