Sierra is an Enterprise Voice Agents company founded in 2023 and based in San Francisco, United States. It has raised $1.6B in total funding, most recently a Series D in 2026 at a $15.8B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| May 4, 2026 | Series D | $950M | $15.8B | Tiger Global, GV |
| Sep 4, 2025 | Series C | $350M | $10B |
| Greenoaks Capital |
| Oct 1, 2024 | Series B | $175M | $4.5B | Greenoaks Capital |
| Feb 1, 2024 | Series A | $110M | $1B | Sequoia Capital, Benchmark |
Sierra AI review covering the enterprise customer experience agent platform's capabilities and positioning.
Kraken and Sierra partner to deploy autonomous agents for utility customer service applications.
Kraken and Sierra launch autonomous agents for utility customer service.
Sierra raises $950M at over $15B valuation to scale its AI voice agent platform.
Enterprise conversational AI platform for deploying customer-experience agents across voice, chat, email, SMS, and WhatsApp. Agents resolve customer issues autonomously using a constellation-of-models architecture with built-in guardrails and escalation logic. Customers include ADT, SiriusXM, Discord, Ramp, and Rivian; reached $150M+ ARR and a $15.8B valuation by May 2026.
CX-team-facing configuration interface launched November 2025 that lets non-engineers define agent behavior, tone, guardrails, and integrations in plain English via a Journeys feature. Generates underlying instructions and multi-turn conversation logic without code, enabling rapid deployment across 30+ languages for global enterprise rollouts.
Conversational agent builder launched March 2026 that constructs agents from natural-language descriptions, standard operating procedures, call transcripts, and audio recordings. Automatically derives instructions, guardrails, and integration mappings, then deploys across voice, chat, and email channels—targeting support managers who need to stand up new agent workflows without engineering resources.
21 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.