Case Study: Kogta Financial achieves 15M+ collection calls and 50% lower latency with Smallest.ai

Kogta Financial handles 15M+ collection calls with Smallest.ai

Kogta Financial, a retail-focused NBFC, faced significant challenges with its labor-intensive debt collection process, which had to navigate dozens of languages and dialects. The company wanted to build and own its entire voice collections stack end-to-end to gain greater control and faster adaptation of its workflows. To achieve this, Kogta partnered with Smallest.ai, utilizing its voice AI products including Pulse STT, Lightning TTS, and Electron SLM.

Smallest.ai's solution provided a fully API-based integration, allowing Kogta to run its entire voice stack with high accuracy and natural-sounding agents. The implementation resulted in over 15 million collection calls placed, a 50% reduction in latency with Electron SLM, and the ability to handle 130+ concurrent calls. The AI agents were so effective that borrowers often believed they were speaking to a real representative, leading to real collections and on-the-spot payments. Smallest.ai's compliance-ready platform also ensured all conversations stayed within regulatory norms.

Kogta Financial