Win rate in head-to-head comparison
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We conducted a rigorous benchmark comparing Sendbird’s AI agent to leading alternatives across a curated set of nuanced, messy, real-world customer queries. Inputs were drawn from unstructured data and fragmented documentation. Responses were evaluated on completeness (source coverage and depth), fluency (clarity and structure), and accuracy.

In customer conversations, every answer is a trust-building moment.
Sendbird leads with unmatched accuracy and reliability. Helping you earn trust, one conversation at a time.
Why our AI agent outperforms?
Real simplicity requires real sophistication.
Sendbird’s AI agent is built for enterprise-grade quality, powered by a deeply orchestrated system that makes complex AI feel deceptively simple.

Built on high-
precision RAG
Most assume RAG is just plugging in a vector DB. It’s not. Our agent uses a precision-tuned retrieval stack—query rewriting, hybrid search, re-ranking, and modular prompts—to surface the right context every time. That’s the difference between demo-grade AI and production-grade performance.

Trustworthy
under pressure
Edge cases, ambiguous queries, fragmented sources. This is where most agents break, ours hold steady. Sendbird’s AI Agent delivers grounded, reliable responses – built to maintain trust even when the input is unclear or incomplete. It responds with clarity when others guess.
Layered orchestration behind every response
Behind every message is a deeply coordinated system: layered prompts, dynamic tool invocation, policy enforcement, and conversation settings. The agent makes multi-hop decisions in real time, rewriting queries, invoking APIs, enforcing tone and governance – all while staying fast and predictable.

Engineered for
enterprise scale
High-volume, compliance-heavy, multilingual environments are the norm for our customers. Sendbird’s infrastructure supports global operations with built-in observability, fallback logic, and policy controls. You don’t need a team to maintain it – we already built the team into the product.