Overall Winner: Relevance AI·62/ 100

Fixie AI vs Relevance AI

In-depth comparison — valuation, funding, investors, founders & more

F
Fixie AI

🇺🇸 United States · Matt Welsh

SeedAI AgentsEst. 2022

Valuation

N/A

Total Funding

$17M

40
Awaira Score40/100

1-50 employees

Full Fixie AI Profile →
Winner
R
Relevance AI

🇦🇺 Australia · Daniel Vassilev

Series BAI AgentsEst. 2020

Valuation

N/A

Total Funding

$37M

62
Awaira Score62/100

75 employees

Full Relevance AI Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Fixie AI and Relevance AI compete directly in the AI Agents space, making this a head-to-head matchup within the same market segment. 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. Relevance AI is an Australian AI company founded in 2020 that develops AI agents and automation platforms for enterprise customers.

Neither company has publicly disclosed a valuation at this time. On the funding side, Relevance AI has raised $37M in total — $20M more than Fixie AI's $17M.

Relevance AI has 2 years more market experience, having been founded in 2020 compared to Fixie AI's 2022 founding. In terms of growth stage, Fixie AI is at Seed while Relevance AI is at Series B — a meaningful difference for investors evaluating risk and upside.

Fixie AI operates out of 🇺🇸 United States while Relevance AI is based in 🇦🇺 Australia, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Relevance AI leads with a score of 62, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricFixie AIRelevance AI
💰Valuation
N/A
N/A
📈Total Funding
$17M
$37MWINS
📅Founded
2022WINS
2020
🚀Stage
Seed
Series B
👥Employees
1-50
75
🌍Country
United States
Australia
🏷️Category
AI Agents
AI Agents
Awaira Score
40
62WINS

Key Differences

📈

Funding gap: Relevance AI has raised $20M more ($37M vs $17M)

📅

Market experience: Relevance AI has 2 years more (founded 2020 vs 2022)

🚀

Growth stage: Fixie AI is at Seed vs Relevance AI at Series B

👥

Team size: Fixie AI has 1-50 employees vs Relevance AI's 75

🌍

Market base: 🇺🇸 Fixie AI (United States) vs 🇦🇺 Relevance AI (Australia)

⚔️

Direct competitors: Both operate in the AI Agents market segment

Awaira Score: Relevance AI scores 62/100 vs Fixie AI's 40/100

Which Should You Choose?

Use these signals to make the right call

F

Choose Fixie AI if…

  • United States-based for regional compliance or proximity
  • 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
R

Choose Relevance AI if…

Top Pick
  • Higher Awaira Score — 62/100 vs 40/100
  • Stronger investor backing — raised $37M
  • More market experience — founded in 2020
  • Australia-based for regional compliance or proximity
  • Relevance AI is an Australian AI company founded in 2020 that develops AI agents and automation platforms for enterprise customers

Funding History

Fixie AI raised $17M across 0 rounds. Relevance AI raised $37M across 1 round.

Fixie AI

No public funding data available.

Relevance AI

Seed

Jan 2020

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FAQ — Fixie AI vs Relevance AI

Is Fixie AI bigger than Relevance AI?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Fixie AI employs 1-50 people, while Relevance AI has 75 employees.
Which company raised more funding — Fixie AI or Relevance AI?
Relevance AI has raised more in total funding at $37M, compared to Fixie AI's $17M — a gap of $20M. Combined, the two companies have completed 1 known funding rounds.
Which company has a higher Awaira Score?
Relevance AI holds the higher Awaira Score at 62/100, 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 22-point gap that reflects meaningful differences in scale or traction.
Who founded Fixie AI vs Relevance AI?
Fixie AI was founded by Matt Welsh in 2022. Relevance AI was founded by Daniel Vassilev in 2020. Visit each company's profile on Awaira for a full founder biography.
What does Fixie AI do vs Relevance AI?
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. Relevance AI: Relevance AI is an Australian AI company founded in 2020 that develops AI agents and automation platforms for enterprise customers. The company specializes in creating autonomous AI agents that can perform complex business tasks, including data processing, customer service automation, and workflow optimization. Its platform enables organizations to build, deploy, and manage AI agents without requiring extensive machine learning expertise. The company's core offering centers on a no-code or low-code agent builder that allows enterprises to automate repetitive processes and improve operational efficiency. Relevance AI positions itself in the broader AI automation market, competing alongside other agent-focused platforms and robotic process automation vendors. The platform integrates with existing business systems and applications, enabling seamless deployment across various enterprise functions. The company has raised $37 million in total funding and operates at Series B stage, indicating significant investor confidence in its business model and market opportunity. It targets mid-market and enterprise organizations seeking to implement AI-driven automation without substantial technical overhead. Relevance AI's growth trajectory reflects increasing enterprise demand for practical AI applications beyond traditional machine learning use cases. The company operates in a competitive landscape that includes both specialized AI automation platforms and broader enterprise software vendors expanding into AI capabilities. Its Australian base provides access to both local markets and international expansion opportunities within the Asia-Pacific region. Relevance AI focuses on making enterprise AI agent deployment accessible through low-code platforms, addressing the gap between advanced AI capabilities and practical business implementation.
Which company was founded first?
Relevance AI was founded first in 2020, giving it 2 years of additional market experience. Fixie AI was founded later in 2022. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.
Which company has more employees?
Fixie AI has approximately 1-50 employees, while Relevance AI has approximately 75. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Fixie AI and Relevance AI competitors?
Yes, Fixie AI and Relevance 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.