Adept vs Fixie AI

Adept has a disclosed valuation of $1B, while Fixie AI's valuation is not publicly available, making a direct size comparison difficult. Adept employs 200 people.

Adept has raised more in total funding at $415M, compared to Fixie AI's $17M — a gap of $398M. Combined, the two companies have completed 6 known funding rounds.

Adept holds the higher Awaira Score at 76/100, compared to Fixie AI's 40/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 36-point gap that reflects meaningful differences in scale or traction.

Adept was founded by David Luan in 2022. Fixie AI was founded by Matt Welsh in 2022. Visit each company's profile on Awaira for a full founder biography.

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. Fixie AI: Fixie AI builds an AI agent platform for developers that enables the creation of purpose-built AI assistants with access to external tools, APIs, real-time data sources, and code execution capabilities. The platform focuses on making it straightforward for engineering teams to deploy AI agents that go beyond conversational chat to take actions within software systems and retrieve live information.\n\nThe company raised approximately 17 million USD and is founded by Matt Welsh, a former Google engineer and Harvard computer science professor with deep expertise in distributed systems. Fixie targets developer teams building AI-powered products who need agent infrastructure that handles tool calling, memory, and action execution without building the full agent stack from scratch.\n\nDeveloper-facing AI agent infrastructure is a rapidly growing segment as more product teams move from deploying static LLM endpoints to building agentic systems that execute multi-step tasks autonomously. Fixie competes with LangChain, LlamaIndex, and a range of agent frameworks, operating in a market where the combination of strong developer experience and reliable action execution capability are the primary differentiators.

Both Adept and Fixie AI were founded in the same year — 2022. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

Adept has approximately 200 employees, while Fixie AI has approximately 1-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Adept and Fixie AI are direct competitors — both operate in the AI Agents space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.