Key strengths
Conversational AI platform for businessesOutcome-based pricingMultichannel deployment (chat, SMS, WhatsApp, email, voice, ChatGPT)Ghostwriter agent-building agentLong-horizon planning and customer context engineMultivariate experiment testingTrust, security, and compliance focus
Enterprise pricing
San Francisco, United States
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Sierra — Technical Use Cases
Sierra is purpose-built for enterprise customer experience and service automation. Relevant technical use cases include:
- Multichannel customer service automation — Deploy a unified AI agent across SMS, WhatsApp, chat, email, voice, and ChatGPT from a single platform, reducing the need to maintain separate bots per channel.
- Proactive customer engagement — Use Horizon's long-horizon planning capabilities to build agents that initiate outreach (e.g., follow-ups, reminders, escalations) rather than only handling inbound queries.
- Conversation experimentation at scale — Leverage Insights Explorer to run multivariate tests on agent scripts, response strategies, or escalation logic, with observability tooling to measure outcomes.
- Low-engineering agent deployment — Use Ghostwriter to enable non-engineering stakeholders (CX, ops, product) to own agent configuration and iteration, reducing developer bottlenecks.
- Outcome-aligned cost modeling — Integrate Sierra into enterprise procurement and ROI frameworks using its outcome-based pricing structure, which ties spend directly to measurable delivered value.
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