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.

White text "Year two" on a grainy background with diagonal orange, yellow, and blue color gradients.

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.

The word "Personas" on a blurred red, yellow and pink background

Introducing Voice Personas

What an agent does and how it expresses itself are two different things. Today, we’re launching Voice Personas so you can design both.

2026年8月7日

The words "Context Engine" on a blurred blue background

Rent the intelligence, own the relationship

Meet Context Engine, which turns what a business knows into decisions an agent can act on when an outcome is on the line. It’s what enables long-running Horizon agents that can pursue business outcomes over days, weeks or months, with every interaction making the next one a little smarter so that your competitive advantage compounds over time.

2026年8月4日

The word "Horizon" on a blurred blue background

The next Horizon in agents

Horizon agents orchestrate outbound and inbound interactions over days or weeks — not just single conversations. A context engine and long-horizon planning turn every interaction into a compounding advantage, so your agents get smarter as your customer relationships deepen. It's Sierra's outcomes-based model at scale: you pay for results, not tokens.

2026年7月16日

A new kind of builder" text on a dark blue and purple gradient background with a subtle speckled texture.

Takeaways from our Ghostwriter Hackathon

Last week, we hosted our first Ghostwriter Hackathon with 30 builders from 17 of the world's largest companies. Here's what we learned about who builds best in the age of AI.

2026年7月1日

Let your customers shape your agents

Experiments in Agent Studio lets teams run A/B tests on agent changes, measuring outcomes like resolution rate and churn reduction to see what actually improves the customer experience. Built-in statistical confidence and gradual rollout controls make it easy to validate a winning variant and ship it with proof, not guesswork.

2026年6月30日

How customer teams became agent builders

The people closest to your customers have the best context for improving the experience. Now they're the ones building the agents.

2026年6月15日

AI-native product localization

One Sierra engineer localized Agent Studio in four months — mostly solo, with AI coding agents. Here's what the process revealed about coordination overhead, feedback loops, and the changing shape of software engineering.

2026年5月28日

Text "τ-knowledge" in white, with a glowing 'e', against a grainy, abstract background of shifting pink, purple, and green tones.

𝜏-knowledge: benchmarking agents on real-world knowledge

𝜏-Knowledge measures how well agents can work through messy, evolving knowledge bases to complete complex, multi-step tasks. While models are improving, they still struggle to reliably use this information in practice, leaving a large gap to real-world performance.

2026年5月13日

White text reads "Monitoring the monitor" on a blurry blue and pink background.

Who monitors the monitors?

Sierra's always-on evaluation layer use an LLM-as-judge to review every conversation so businesses can track agent quality and customer sentiment. But who evaluates the monitors?

2026年5月7日

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