Adept vs LlamaIndex

Yes, Adept has a higher valuation ($1B) compared to LlamaIndex ($45M).

Adept raised $415M while LlamaIndex raised $27.5M.

LlamaIndex has the higher Awaira Score of 78.

Adept: Adept is an AI company founded in 2022 that develops AI agents capable of performing complex tasks across digital environments. The company specializes in creating AI systems that can interact with software applications, browsers, and APIs to automate workflows and assist with knowledge work. Adept's core technology focuses on large language models combined with reinforcement learning to enable agents that learn from user interactions and improve over time. The company raised $415 million in total funding and achieved a $1 billion valuation, securing investment from prominent venture capital firms including Khosla Ventures and others. Adept's approach targets enterprise automation, aiming to create agents that can handle tasks like data entry, research, customer support, and business process automation. The company positioned itself in the competitive AI agents landscape alongside other startups and established tech companies building autonomous systems. Adept was subsequently acquired, marking a significant exit in the AI sector. The acquisition reflected growing enterprise demand for AI automation tools and validated the market opportunity for agent-based systems. The company's focus on practical automation applications rather than consumer-facing AI differentiated its positioning. Adept's trajectory from founding through acquisition occurred during rapid expansion in generative AI investment and adoption across industries. Adept pioneered enterprise-focused AI agents designed to autonomously execute complex digital workflows through direct software interaction.. 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..

Both were founded in 2022.