Agentic AI Comparison:
Boost.ai vs Sendbird AI Agent
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Introduction
This report provides a detailed comparison between Sendbird AI Agent and Boost.ai, two leading conversational AI platforms designed for customer service automation. Metrics evaluated include autonomy, ease of use, flexibility, cost, and popularity, based on available feature descriptions, user feedback, and platform capabilities.
Overview
Boost.ai
Boost.ai is a no-code conversational AI platform focused on rapid deployment of virtual assistants for 24/7 omnichannel support (web, IVR, Slack, Zendesk, Messenger, Teams). It excels in quick setup, high accuracy using past logs, and unlimited scalability for thousands of topics, though with some noted UI limitations.
Sendbird AI Agent
Sendbird AI Agent is a no-code platform for building proactive, personalized AI agents for customer support across omnichannel (in-app, web, SMS, WhatsApp, email). It integrates with existing support stacks, offers robust analytics, and is built on enterprise-grade infrastructure serving 300M monthly users, emphasizing scalability, security, and compliance.
Metrics Comparison
autonomy
Boost.ai: 8
Strong autonomy in 24/7 omnichannel automation, consistent resolution on thousands of topics, and action automation, but slightly limited by mobile setup issues and less emphasis on advanced reasoning.
Sendbird AI Agent: 9
High autonomy through proactive, personalized service, complex workflow orchestration, seamless human handoff, and enterprise scalability for handling high-reasoning tasks across channels without coding.
Sendbird edges out with deeper enterprise autonomy and integrations, while Boost.ai offers reliable basic autonomy for quick scaling.
ease of use
Boost.ai: 8
Very easy no-code setup in hours/days even for non-AI users, but cons include inconvenient admin panel and mobile app issues.
Sendbird AI Agent: 9
Intuitive no-code builder, 5-step deployment, dashboard analytics, and non-technical team accessibility make it highly user-friendly.
Both excel in no-code ease, but Sendbird's polished dashboard gives it a slight advantage over Boost.ai's reported UI friction.
flexibility
Boost.ai: 8
Flexible no-code flows, omnichannel (including IVR/Slack), and scalability, but limited language support and fewer advanced integrations noted.
Sendbird AI Agent: 9
Omnichannel by default, custom training on knowledge bases, integrations with support stacks/AI tools, multilingual support, and workflow adaptability.
Sendbird offers broader omnichannel and integration flexibility, particularly for enterprises, compared to Boost.ai's solid but more channel-specific strengths.
cost
Boost.ai: 8
Emphasized affordability and rapid ROI through quick setup; no specific pricing, but positioned as cost-effective for fast automation without noted high premiums.
Sendbird AI Agent: 7
Enterprise-grade infrastructure implies higher costs suitable for scale (300M users), but no-code efficiency reduces development expenses; pricing not explicitly detailed.
Boost.ai appears more affordable for quick starts, while Sendbird targets premium enterprise value; direct pricing comparisons unavailable.
popularity
Boost.ai: 7
Included in top conversational AI platform lists with positive reviews for ease/speed, but fewer scale metrics or high-profile cases mentioned.
Sendbird AI Agent: 8
Serves 300M monthly users, featured in top agentic AI lists, real-world enterprise adoption (e.g., Lotte reduced inquiries 40%), and multiple comparisons.
Sendbird demonstrates greater scale and visibility in enterprise contexts, giving it higher popularity over Boost.ai's niche strengths.
Conclusions
Sendbird AI Agent outperforms Boost.ai overall (average score 8.4 vs 7.8), particularly in autonomy, ease of use, flexibility, and popularity, making it ideal for large-scale enterprise customer service. Boost.ai shines for rapid, cost-effective deployments in mid-sized operations. Choice depends on scale needs and budget; direct trials recommended as pricing details are limited.