Voiceflow vs Sierra AI

Sierra AI has a disclosed valuation of $10B, while Voiceflow's valuation is not publicly available, making a direct size comparison difficult. Sierra AI employs 150 people.

Sierra AI has raised more in total funding at $635M, compared to Voiceflow's $39M — a gap of $596M. Combined, the two companies have completed 6 known funding rounds.

Sierra AI leads with an Awaira Score of 92/100, while Voiceflow sits at 60/100. That 32-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Voiceflow was founded by Braden Ream in 2019. Sierra AI was founded by Bret Taylor in 2023. Visit each company's profile on Awaira for a full founder biography.

Voiceflow: Voiceflow provides a collaborative platform for designing, building, and deploying conversational AI agents across web chat, voice interfaces, and messaging channels. The platform abstracts the complexity of LLM orchestration, intent recognition, and multi-turn dialogue management behind a visual workflow builder accessible to both technical and non-technical teams.\n\nThe company raised approximately 50 million USD and serves thousands of product teams at companies including Google, JP Morgan, and Walmart that build and iterate on conversational products. Voiceflow has established a two-sided ecosystem with agent templates and a growing marketplace of integrations that increase platform stickiness and reduce customer churn.\n\nThe market for no-code and low-code conversational AI tooling is expanding rapidly as every business-facing product team is now expected to ship an AI assistant. Voiceflow occupies a distinct position between pure developer frameworks like Rasa and enterprise-locked platforms from Salesforce and ServiceNow, giving it a broad addressable market among the millions of product teams globally who need to ship dialogue experiences without building infrastructure from scratch. Sierra AI: Sierra AI builds conversational AI agents designed to serve as the primary customer experience layer for consumer brands, replacing traditional chatbots and interactive voice response systems with autonomous agents capable of handling complex, multi-turn interactions. Co-founded in 2023 by Bret Taylor, former co-CEO of Salesforce and chairman of the board at OpenAI, alongside Clay Bavor, a former Google executive who led AR/VR initiatives, the company brings unusual executive credibility to the enterprise AI agent space. The company has raised approximately $635 million in total funding, achieving a $10 billion valuation at its Series C round. Investors include Sequoia Capital, Benchmark, and Greenoaks Capital. Sierra's agents integrate directly into existing enterprise tech stacks, handling tasks from order management and subscription changes to returns processing and account troubleshooting — all without requiring human escalation for the majority of interactions. Clients reportedly include WeightWatchers, Sonos, and other major consumer brands. Sierra AI operates in a rapidly consolidating AI customer service market, competing against Intercom's Fin, Ada, and legacy players like Zendesk and Salesforce Service Cloud. The company's advantage stems from its founding team's deep enterprise relationships and product instincts refined across decades at Google and Salesforce. With customer service representing an estimated $350 billion annual spend globally, Sierra's bet is that AI agents will absorb a significant share of that budget within five years, fundamentally restructuring how brands interact with their customers at scale.

Voiceflow got there first, launching in 2019 — that's 4 years of extra runway. Sierra AI didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Voiceflow has about 50-200 employees; Sierra AI has about 150. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Voiceflow and Sierra AI compete in AI Agents, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.