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。
2025年11月5日Sierra Agent OS 2.0: from answers to memory and actionAt 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 ServiceSierra 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 reviewSierra 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.
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.
Constellation of models: the architecture powering Sierra's agents Agents built on Sierra are assembled from 15+ purpose-built models working in concert, so they can handle complex tasks with speed, precision, and on-brand execution. 2025年12月3日
Inventing the future of applied AI: Inside Sierra UniversityInside Sierra University, hundreds of builders are learning the craft of applied AI — designing, integrating, and deploying production-ready agents that power real customer experiences across industries.2025年11月3日
Engineering low-latency voice agentsLatency shapes whether a voice agent feels human or robotic. Here’s how Sierra reduces it across every stage of the speech-to-speech pipeline.2025年10月9日
Load testing: how Sierra scales for surgesWhen demand spikes, reliability matters most. We load-test Sierra’s platform at massive scale — generating millions of calls — to guarantee agents stay fast, accurate, and reliable, no matter how high the traffic climbs.2025年10月7日
From LLMs to enterprise-grade agentsSierra's Agent OS treats agent safety as a systems problem — reducing error rates through layered defenses and constant improvement.2025年10月2日
How Voice Sims workLearn how Sierra engineered Voice Sims using a dual loop architecture to recreate lifelike conversations.2025年9月23日
A more reliable inference layer for foundation modelsFoundation models are still less reliable than traditional web services, with more downtime and response times measured in seconds, not milliseconds. And as adoption grows, they’re accessed through a burgeoning ecosystem of providers and applications, which have similar functionality but different levels of reliability. Last year, we turned this bug into a feature—developing an adaptive routing client that dynamically selects providers to maximize uptime, minimize latency, and improve the overall experience.2025年6月26日
𝜏²-bench: benchmarking agents in collaborative real-world scenarios𝜏²-bench challenges AI agents not just to reason and act, but to coordinate, guide, and assist a user in achieving a shared objective. This leap from solo operation to co-ownership of a task pushes agents into a much more demanding space. And, critically, it reflects the kinds of tasks AI agents are increasingly being asked to perform in the real world.2025年6月10日
Building more human voice experiencesHere are three lessons we’ve learned building great voice experiences with our customers, for their customers. And what’s so interesting is that it’s many little things like these—not one big thing—that’s helped create a better, more human voice experience. 2025年5月22日