Sierra ブログ

2026年3月27日

Sierra、日本発のAI企業「OPERA TECH」を買収

本日、Sierraは東京を拠点とするエンタープライズAI企業、株式会社OPERA TECHを買収したことを発表いたします。

Text: Sierra acquires Opera Tech in Japan.

2025年11月5日

Sierra Agent OS 2.0: from answers to memory and action

At Sierra Summit, we unveiled the future of AI agents: a single agent that works across every channel, learns from every interaction, and builds real customer relationships. With eight new products, including Agent Studio 2.0 and the Agent Data Platform, Sierra is turning the promise of AI-powered customer experience into reality.

2026年3月25日

Agents as a Service

Sierra is reimagining software for the agent era—where you simply describe the outcome, and intelligent agents build, execute, and continuously improve the work for you. Meet Ghostwriter, the agent that creates and optimizes other agents, turning your ideas into production-ready customer experiences without clicks, code, or complexity.

2026年2月6日

Year two in review

Sierra is heading into year three with over $150M in ARR, powered by rapid adoption from some of the world’s largest companies. The growth reflects a simple idea: when AI is built around real jobs to be done (not experiments), even the biggest enterprises can see meaningful impact fast.

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2025年11月5日

Introducing Agent Data Platform

Sierra’s first-of-its-kind Agent Data Platform (ADP) gives agents memory, context, and intelligence — turning every interaction into a human, personalized experience. Powered by Agent OS, ADP helps companies move from answering questions to anticipating needs.

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𝜏-voice: benchmarking real-time voice agents on real-world tasks

𝜏-voice is a benchmark for real-time voice agents on 278 grounded customer-service tasks across retail, airline, and telecom. It pairs deterministic, end-to-end task scoring with realistic, controllable audio — diverse personas, environmental noise, and free-form turn-taking.

2026年5月1日

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μ-Bench: an open multilingual transcription benchmark

μ-Bench is an open multilingual transcription benchmark built from customer service phone calls across five locales. It aims to measure transcription providers on the errors that matter in production: not just how closely transcripts match their reference, but whether they preserve the speaker’s intent.

2026年4月20日

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Golden articles: Evaluating and improving search

Search evaluation shouldn’t be static — it should reflect what actually helps resolve real customer issues. By measuring performance daily against production conversations and feeding those signals back into the system, we've built a continuously improving system for resolving customers’ needs.

2026年4月14日

Meet Linnaeus and Darwin: Search models that drive higher resolution rates

Our purpose-built retrieval and reranking models outperform off-the-shelf ones, driving up to 16 percentage point improvements in resolution rates.

2026年4月3日

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𝜏³-Bench: Advancing agent benchmarking to knowledge and voice

𝜏³-Bench is here. We've expanded agent evaluation to two new frontiers: knowledge retrieval and voice.

2026年3月18日

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Improving voice performance with post-training

Post-training helps our customers' voice agents achieve shorter, clearer, and more human-like conversations.

2025年11月12日

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𝜏-Bench leaderboard: compare, explore, and understand agent performance

Introducing the 𝜏-Bench leaderboard — a community-driven platform where researchers can submit, verify, and compare results while exploring model behavior through interactive tools.

2025年10月13日

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How Voice Sims work

Learn how Sierra engineered Voice Sims using a dual loop architecture to recreate lifelike conversations.

2025年9月23日

Simulations: the secret behind every great agent

Sierra’s platform, Agent OS, enables you to create simulated conversations between agents and mock personas ensure reliability at scale. They are a new kind of testing, for a new kind of software.

2025年8月19日

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