Overall Winner: yellow.ai·73/ 100

Faculty AI vs yellow.ai

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

F
Faculty AI

🇬🇧 United Kingdom · Marc Warner

Series BEnterprise AIEst. 2014

Valuation

N/A

Total Funding

$42M

60
Awaira Score60/100

100-500 employees

Full Faculty AI Profile →
Winner
Y
yellow.ai

🇮🇳 India · Raghu Ravinutala

Series CEnterprise AIEst. 2016

Valuation

$1B

Total Funding

$102M

73
Awaira Score73/100

800 employees

Full yellow.ai Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Faculty AI and yellow.ai compete directly in the Enterprise AI space, making this a head-to-head matchup within the same market segment. Faculty AI provides applied AI consulting, products, and platform services to government agencies and enterprise clients across the United Kingdom and beyond. yellow.

yellow.ai carries a known valuation of $1B, while Faculty AI's valuation has not been publicly disclosed. On the funding side, yellow.ai has raised $102M in total — $60M more than Faculty AI's $42M.

Faculty AI has 2 years more market experience, having been founded in 2014 compared to yellow.ai's 2016 founding. In terms of growth stage, Faculty AI is at Series B while yellow.ai is at Series C — a meaningful difference for investors evaluating risk and upside.

Faculty AI operates out of 🇬🇧 United Kingdom while yellow.ai is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, yellow.ai leads with a score of 73, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricFaculty AIyellow.ai
💰Valuation
N/A
$1B
📈Total Funding
$42M
$102MWINS
📅Founded
2014
2016WINS
🚀Stage
Series B
Series C
👥Employees
100-500
800
🌍Country
United Kingdom
India
🏷️Category
Enterprise AI
Enterprise AI
Awaira Score
60
73WINS

Key Differences

📈

Funding gap: yellow.ai has raised $60M more ($102M vs $42M)

📅

Market experience: Faculty AI has 2 years more (founded 2014 vs 2016)

🚀

Growth stage: Faculty AI is at Series B vs yellow.ai at Series C

👥

Team size: Faculty AI has 100-500 employees vs yellow.ai's 800

🌍

Market base: 🇬🇧 Faculty AI (United Kingdom) vs 🇮🇳 yellow.ai (India)

⚔️

Direct competitors: Both operate in the Enterprise AI market segment

Awaira Score: yellow.ai scores 73/100 vs Faculty AI's 60/100

Which Should You Choose?

Use these signals to make the right call

F

Choose Faculty AI if…

  • More market experience — founded in 2014
  • United Kingdom-based for regional compliance or proximity
  • Faculty AI provides applied AI consulting, products, and platform services to government agencies and enterprise clients across the United Kingdom and beyond
Y

Choose yellow.ai if…

Top Pick
  • Higher Awaira Score — 73/100 vs 60/100
  • More established by valuation ($1B)
  • Stronger investor backing — raised $102M
  • India-based for regional compliance or proximity
  • yellow

Funding History

Faculty AI raised $42M across 0 rounds. yellow.ai raised $102M across 4 rounds.

Faculty AI

No public funding data available.

yellow.ai

Series C

Jan 2021

Lead: Sequoia Capital

$60M

Series B

Jan 2019

Lead: Accel Partners

$15M

Series A

Jan 2018

Lead: Accel Partners

$6M

Seed

Jan 2016

Investor Comparison

No shared investors detected between these two companies.

Unique to yellow.ai

Sequoia CapitalAccel PartnersYVentures

Users Also Compare

FAQ — Faculty AI vs yellow.ai

Is Faculty AI bigger than yellow.ai?
yellow.ai has a disclosed valuation of $1B, while Faculty AI's valuation is not publicly available, making a direct size comparison difficult. yellow.ai employs 800 people.
Which company raised more funding — Faculty AI or yellow.ai?
yellow.ai has raised more in total funding at $102M, compared to Faculty AI's $42M — a gap of $60M. Combined, the two companies have completed 4 known funding rounds.
Which company has a higher Awaira Score?
yellow.ai holds the higher Awaira Score at 73/100, compared to Faculty AI's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 13-point gap that reflects meaningful differences in scale or traction.
Who founded Faculty AI vs yellow.ai?
Faculty AI was founded by Marc Warner in 2014. yellow.ai was founded by Raghu Ravinutala in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Faculty AI do vs yellow.ai?
Faculty AI: Faculty AI provides applied AI consulting, products, and platform services to government agencies and enterprise clients across the United Kingdom and beyond. The company builds custom machine learning models, deploys AI decision-support tools, and offers its Frontier data science platform for teams that need to build, deploy, and monitor models at scale.\n\nFaculty has raised approximately $42 million in venture funding and counts the UK National Health Service, the Cabinet Office, and major private sector firms among its clients. The company gained significant visibility for its work supporting the UK government COVID-19 response, supplying data analytics and epidemiological modelling capabilities. It maintains a team of AI researchers and engineers drawn from academic institutions including Oxford and Cambridge.\n\nThe company occupies a distinctive position in the UK AI services market, combining a commercial consulting practice with proprietary software products. Faculty competes with large consultancies such as McKinsey and Accenture as well as boutique AI firms for government and enterprise contracts. Its proximity to policymakers and its record of sensitive public-sector engagements give it a reputational edge in regulated-industry deployments where trust and UK data sovereignty are primary buying criteria. yellow.ai: yellow.ai is an India-based enterprise AI platform founded in 2016 that specializes in conversational AI and automation solutions for businesses. The company develops a cloud-based platform enabling organizations to build, deploy, and manage AI-powered chatbots and virtual assistants across multiple channels including voice, chat, and messaging applications. Its core technology focuses on natural language processing and machine learning to handle customer service, sales, and operational automation workflows. The platform serves enterprise clients across industries including banking, retail, telecommunications, and hospitality. yellow.ai's solution addresses customer engagement, lead qualification, complaint resolution, and internal process automation. The company operates in the competitive conversational AI market alongside players like Intercom, Drift, and others, differentiating through its multilingual capabilities and focus on emerging markets. As of its last funding round, yellow.ai achieved unicorn status with a $1.0 billion valuation and has raised $102 million across multiple funding rounds through Series C stage. The company has expanded its customer base and product capabilities, including sentiment analysis, intent recognition, and omnichannel deployment. Its growth trajectory reflects increasing enterprise demand for AI-driven customer experience automation and operational efficiency solutions in Asia-Pacific markets. yellow.ai combines conversational AI with omnichannel deployment specifically optimized for enterprises in emerging markets, particularly Asia.
Which company was founded first?
Faculty AI was founded first in 2014, giving it 2 years of additional market experience. yellow.ai was founded later in 2016. 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?
Faculty AI has approximately 100-500 employees, while yellow.ai has approximately 800. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Faculty AI and yellow.ai competitors?
Yes, Faculty AI and yellow.ai are direct competitors — both operate in the Enterprise AI space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.