Enterprise customer support platform with voice AI and generative automation
Kapture CX operates a SaaS customer experience platform centered on support automation, now heavily pivoting toward voice AI and generative models. The tech stack is Java/Spring-based with Kafka and Kubernetes for scale, and the adoption of vLLM, Triton, and TensorRT signals serious inference optimization work—a pattern reinforced by active projects around voicebot reliability, conversational intelligence, and latency reduction. The hiring mix (engineering, product, and sales evenly distributed) suggests a scaling motion across both technical depth and GTM, with leadership-level product roles indicating product-market fit in their core verticals.
Kapture CX builds an enterprise SaaS platform for customer experience automation, primarily targeting support teams in Retail, BFSI, Travel, and Consumer Durables. The platform emphasizes hyper-personalization and context-aware resolution, operating across 16 countries with 1000+ active customers. Founded in 2011 and headquartered in Bangalore, the company operates a Java-based microservices architecture on Kubernetes, with Kafka handling event streaming and MySQL for core persistence. Current product momentum centers on voice AI capabilities—voicebots, conversational interfaces, and generative AI integrations—reflecting a strategic shift from text-based support toward multimodal customer interactions.
Java, Spring Boot, Kafka, Kubernetes, MySQL, with inference tools vLLM, Triton, and TensorRT for voice AI. Monitoring via Grafana and Sentry. ChatGPT, Claude, and Gemini integrated for generative features.
Voice AI platform rollout, voicebot configuration, generative AI for customer experience products, scalable ML pipelines, and inference optimization. Core pain points include voicebot reliability, reducing inference latency, and scaling generative AI systems across enterprise customers.
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