boost.ai develops a conversational AI platform specifically designed for regulated industries, providing chat automation, voice call automation, and agentic AI capabilities for financial services, insurance, telecom, and public sector organizations. The platform is built for compliance-heavy environments, meeting the highest standards for security, privacy, and auditability, with predictable and transparent implementations that get solutions live fast without surprises or delays. boost.ai offers advanced agentic AI capabilities deployed with governance and oversight, enabling existing teams to deliver agentic conversational AI at enterprise scale and speed. The platform supports seamless self-service across channels including chat and voice, hyper-personalized customer experiences through a hybrid AI approach combining cutting-edge generative AI with traditional conversational AI, and end-to-end enterprise technology for building, analyzing, and optimizing virtual agents. boost.ai serves three primary use cases: customer self-service for deflecting routine inquiries, internal support for employee assistance, and agent assist for augmenting human agents with AI-powered suggestions and workflows. The platform achieves 4.8 out of 5 stars in customer satisfaction with 94% of customers willing to recommend. Customers include MSU Federal Credit Union, Acorn Insurance, and other financial services, insurance, telecom, and public sector organizations. The company provides comprehensive resources including an Academy for training, documentation, community support, and Boost Camp 2026 conference. Founded in 2016 and headquartered in Stavanger, Norway, boost.ai has raised approximately $5 million in Series A funding from investors including Alliance Venture, Finstart, Nordic Capital, and the Flagstar MortgageTech Acceleration Program.
boost.ai
Series Aboost.ai develops a conversational AI platform specifically designed for regulated industries, providing chat automation, voice call automation, and agentic AI capabilities for financial services, insurance, telecom, and public sector organizations. The platform is built for compliance-heavy environments, meeting the highest standards for security, privacy, and auditability, with predictable and transparent…
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Business model
Customer Service Software > Contact Center > Omnichannel,
Chatbots > Chatbot Development > Conversational AI Development > Low Code Platform,
AI Infrastructure > Natural Language Processing > Conversational AI
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