Voiceflow vs LlamaIndex

LlamaIndex has a disclosed valuation of $93M, while Voiceflow's valuation is not publicly available, making a direct size comparison difficult. LlamaIndex employs 75 people.

Voiceflow has raised more in total funding at $39M, compared to LlamaIndex's $27.5M — a gap of $11.5M. Combined, the two companies have completed 5 known funding rounds.

LlamaIndex leads with an Awaira Score of 78/100, while Voiceflow sits at 60/100. That 18-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Voiceflow was founded by Braden Ream in 2019. LlamaIndex was founded by Jerry Liu in 2022. 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. LlamaIndex: LlamaIndex is a data framework company founded in 2022 that specializes in connecting large language models to external data sources. The platform enables developers to build retrieval-augmented generation (RAG) applications by indexing, retrieving, and augmenting prompts with relevant documents, databases, and APIs. LlamaIndex provides tools for data ingestion, indexing strategies, and query engines that optimize how LLMs access and process enterprise information. The company's core offering addresses a fundamental limitation of large language models: their training data cutoff and inability to access real-time or proprietary information. LlamaIndex abstracts away the complexity of data integration, offering pre-built connectors to various data sources and multiple retrieval strategies to improve answer relevance and accuracy. Positioned within the broader AI agents and LLM infrastructure category, LlamaIndex competes alongside other data-to-LLM frameworks like LangChain and vector database providers. The platform has gained adoption among developers building enterprise AI applications, particularly those requiring grounding in external knowledge bases. The company has raised $28M in total funding and is currently at Series A stage, with a valuation of Not disclosed. Since its 2022 founding, LlamaIndex has experienced rapid adoption within the RAG application development community, reflecting growing demand for production-grade tools that integrate large language models with enterprise data. LlamaIndex solves the critical problem of efficiently connecting LLMs to external data sources through purpose-built indexing and retrieval infrastructure.

Voiceflow got there first, launching in 2019 — that's 3 years of extra runway. LlamaIndex didn't arrive until 2022. 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; LlamaIndex has about 75. 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 LlamaIndex compete in AI Agents, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.