Voice AI for regulated-industry customer service with compliance-first architecture
Acclaim builds a voice-first AI platform for banks, insurers, and healthcare providers—handling customer interactions end-to-end via intelligent agents rather than chat bots. The stack (Genesys, Zendesk, Salesforce + Python, Go, Kubernetes, PostgreSQL, ClickHouse) reveals a contact-center integrator with speech-processing depth (Whisper, FreeSWITCH, OpenSIPS, rtpengine). Active hiring skews toward senior and lead engineers (5 each) across 6 open roles, paired with heavy product focus (3 roles), suggesting rapid feature development in a compliance-sensitive space where implementation and integration friction remain top pain points.
Notable leadership hires: Head of Operations
Acclaim is a voice AI customer experience platform purpose-built for banking, fintech, healthcare, and insurance. The product orchestrates end-to-end customer workflows—from outreach through resolution—using goal-oriented AI agents that learn continuously and maintain compliance across channels. It integrates with major contact-center platforms (Genesys, Zendesk, Salesforce) and is deployed on-premises or in private cloud environments to meet data residency and regulatory requirements. The company is headquartered in Miami and operates across the United States, Brazil, and Cyprus.
Acclaim runs Python, Go, Node.js on Kubernetes with FastAPI and gRPC; integrates Genesys, Zendesk, Salesforce for contact-center workflows; and uses PostgreSQL + ClickHouse for data, with AWS, GCP, Azure cloud backends and Whisper + FreeSWITCH for voice processing.
Acclaim is headquartered in Miami, United States, with additional hiring activity in Brazil and Cyprus.
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Acclaim 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.