Home / Customer service / Sierra

Sierra (San Francisco, US)

Sierra

Platform for AI customer service agents via chat, voice, email and WhatsApp; billed based on outcomes achieved.

Shared spot32of 40 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is held in the EU (2 points), whether there is a certification or GDPR safeguard (1) and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in customer service
GDPR: Unknown
  • Provider based outside the EU

Each tile is a professional tool in customer service, the strongest GDPR profile on the left. 9 professional tools share this spot, just like Sierra with an Unknown profile: click for that tool.

Priceon request (outcome-based pricing)
Free trialNone foundNot found on the provider's website when checked on 22 September 2026
BasedSan Francisco, USAOutside the EU

Last checked: 22 September 2026 · How we check

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This is what Sierra looks like

sierra.ai
Sierra's website
Sierra's website

What it does

AI agent deployment via chat, phone, email, SMS
Goals & guardrails for brand consistency
Ghostwriter (agent building via natural language)
Context Engine with memory per customer
Explorer for in-depth conversation analysis
Horizon for long-term customer relationships
Agent Studio: knowledge, integrations, simulations
Insights dashboard with session analytics

Questions about Sierra

Which AI model does Sierra use?
Sierra runs (partly) on ChatGPT, Claude and Llama. A 'constellation of models' from, among others, OpenAI, Anthropic and Meta, plus proprietary fine-tuned models, publicly explained.
How much does Sierra cost?
on request (outcome-based pricing). Check the current price on the provider's website; rates often change.
Who is Sierra for?
Sierra focuses on customer service. It suits work such as automatically answering frequently asked questions, supporting agents with draft replies, and summarising and categorising conversations.
What should I look for in AI for customer service?
Be transparent that customers are speaking with AI and ensure a smooth handover to an employee. Protect the privacy of customer data in conversations.

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