Overall Winner: Patsnap·80/ 100
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PatsnapWinner
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Patsnap vs Atlan

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

Winner
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Patsnap

🇸🇬 Singapore · Jeffrey Tiong

Series EAI DataEst. 2007

Valuation

$1B

Total Funding

$300M

80
Awaira Score80/100

500-1000 employees

Full Patsnap Profile →
A
Atlan

🇮🇳 India · Prukalpa Sankar

Series CAI DataEst. 2018

Valuation

N/A

Total Funding

$78M

68
Awaira Score68/100

200-500 employees

Full Atlan Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Patsnap and Atlan compete directly in the AI Data space, making this a head-to-head matchup within the same market segment. Patsnap provides an AI-powered patent analytics and intellectual property intelligence platform that enables R&D teams, IP lawyers, and corporate strategy teams to search, analyse, and monitor global patent databases using machine learning to surface technology trends, competitor patent activity, and freedom-to-operate insights from over 170 million patent documents. Atlan is an active metadata platform and data workspace that enables data teams to discover, understand, and govern data assets across cloud warehouses, lakes, BI tools, and pipelines through an AI-powered catalog interface.

Patsnap carries a known valuation of $1B, while Atlan's valuation has not been publicly disclosed. On the funding side, Patsnap has raised $300M in total — $222M more than Atlan's $78M.

Patsnap has 11 years more market experience, having been founded in 2007 compared to Atlan's 2018 founding. In terms of growth stage, Patsnap is at Series E while Atlan is at Series C — a meaningful difference for investors evaluating risk and upside.

Patsnap operates out of 🇸🇬 Singapore while Atlan is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Patsnap leads with a score of 80, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricPatsnapAtlan
💰Valuation
$1B
N/A
📈Total Funding
$300MWINS
$78M
📅Founded
2007
2018WINS
🚀Stage
Series E
Series C
👥Employees
500-1000
200-500
🌍Country
Singapore
India
🏷️Category
AI Data
AI Data
Awaira Score
80WINS
68

Key Differences

📈

Funding gap: Patsnap has raised $222M more ($300M vs $78M)

📅

Market experience: Patsnap has 11 years more (founded 2007 vs 2018)

🚀

Growth stage: Patsnap is at Series E vs Atlan at Series C

👥

Team size: Patsnap has 500-1000 employees vs Atlan's 200-500

🌍

Market base: 🇸🇬 Patsnap (Singapore) vs 🇮🇳 Atlan (India)

⚔️

Direct competitors: Both operate in the AI Data market segment

Awaira Score: Patsnap scores 80/100 vs Atlan's 68/100

Which Should You Choose?

Use these signals to make the right call

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Choose Patsnap if…

Top Pick
  • Higher Awaira Score — 80/100 vs 68/100
  • More established by valuation ($1B)
  • Stronger investor backing — raised $300M
  • More market experience — founded in 2007
  • Singapore-based for regional compliance or proximity
  • Patsnap provides an AI-powered patent analytics and intellectual property intelligence platform that enables R&D teams, IP lawyers, and corporate strategy teams to search, analyse, and monitor global patent databases using machine learning to surface technology trends, competitor patent activity, and freedom-to-operate insights from over 170 million patent documents
A

Choose Atlan if…

  • India-based for regional compliance or proximity
  • Atlan is an active metadata platform and data workspace that enables data teams to discover, understand, and govern data assets across cloud warehouses, lakes, BI tools, and pipelines through an AI-powered catalog interface

Users Also Compare

FAQ — Patsnap vs Atlan

Is Patsnap bigger than Atlan?
Patsnap has a disclosed valuation of $1B, while Atlan's valuation is not publicly available, making a direct size comparison difficult. Patsnap employs 500-1000 people.
Which company raised more funding — Patsnap or Atlan?
Patsnap has raised more in total funding at $300M, compared to Atlan's $78M — a gap of $222M.
Which company has a higher Awaira Score?
Patsnap holds the higher Awaira Score at 80/100, compared to Atlan's 68/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.
Who founded Patsnap vs Atlan?
Patsnap was founded by Jeffrey Tiong in 2007. Atlan was founded by Prukalpa Sankar in 2018. Visit each company's profile on Awaira for a full founder biography.
What does Patsnap do vs Atlan?
Patsnap: Patsnap provides an AI-powered patent analytics and intellectual property intelligence platform that enables R&D teams, IP lawyers, and corporate strategy teams to search, analyse, and monitor global patent databases using machine learning to surface technology trends, competitor patent activity, and freedom-to-operate insights from over 170 million patent documents. The Singapore company integrates patent data with scientific literature and chemical structure databases to provide a comprehensive IP and technology intelligence environment.\n\nThe company raised approximately $300 million including a Series E round from investors including SoftBank Vision Fund 2, Tencent, and CPE Yunji, reaching a valuation exceeding $1 billion. Patsnap serves over 10,000 companies globally including R&D-intensive organisations in pharmaceuticals, semiconductors, automotive, and consumer electronics that use patent landscape analysis to inform technology strategy and investment decisions.\n\nPatsnap competes in the IP analytics market against Derwent Innovation (Clarivate), Questel Orbit, and Minesoft, as well as general enterprise search platforms that include patent data. Its AI capabilities for patent claim analysis, technology trend extraction, and cross-domain IP search differentiate it from traditional Boolean-search patent databases, enabling R&D strategy questions to be answered through AI-assisted analysis rather than manual patent review. The Singapore base provides access to both the Southeast Asian technology market and a sophisticated legal and financial services market for IP monetisation and licensing analytics. Atlan: Atlan is an active metadata platform and data workspace that enables data teams to discover, understand, and govern data assets across cloud warehouses, lakes, BI tools, and pipelines through an AI-powered catalog interface. The platform automatically crawls data infrastructure to build lineage graphs, enables natural language search over data assets, and enforces data governance policies through automated tagging and access controls.\n\nThe company raised approximately $78M in Series C funding from investors including Insight Partners and Sequoia India, and has built a global customer base of data-forward technology companies and enterprises. Atlan has emerged as a recognized leader in the data catalog market, competing with Alation, Collibra, and DataHub in the modern data stack ecosystem.\n\nAs cloud data infrastructure has proliferated, data discoverability and governance have become critical operational problems for engineering teams managing hundreds of data sources. Atlan's modern metadata-first approach and deep integrations with the contemporary data stack — Snowflake, dbt, Fivetran, Looker — position it well in a market where legacy catalog vendors have struggled to keep pace with infrastructure evolution.
Which company was founded first?
Patsnap was founded first in 2007, giving it 11 years of additional market experience. Atlan was founded later in 2018. 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?
Patsnap has approximately 500-1000 employees, while Atlan has approximately 200-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Patsnap and Atlan competitors?
Yes, Patsnap and Atlan are direct competitors — both operate in the AI Data space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.