Overall Winner: Atlan·68/ 100
VS
A
AtlanWinner

Hyper Anna vs Atlan

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

H
Hyper Anna

🇦🇺 Australia · Natalie Nguyen

Series AAI DataEst. 2015

Valuation

N/A

Total Funding

$10M

38
Awaira Score38/100

1-50 employees

Full Hyper Anna Profile →
Winner
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 Hyper Anna and Atlan compete directly in the AI Data space, making this a head-to-head matchup within the same market segment. Hyper Anna built an AI analytics assistant that enabled business users to ask questions about their data in natural language and receive charts, insights, and explanations without requiring SQL skills or data analyst support, applying natural language understanding and automated statistical analysis to business intelligence data from sales, marketing, and operations teams. 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.

Neither company has publicly disclosed a valuation at this time. On the funding side, Atlan has raised $78M in total — $68M more than Hyper Anna's $10M.

Hyper Anna has 3 years more market experience, having been founded in 2015 compared to Atlan's 2018 founding. In terms of growth stage, Hyper Anna is at Series A while Atlan is at Series C — a meaningful difference for investors evaluating risk and upside.

Hyper Anna operates out of 🇦🇺 Australia while Atlan is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Atlan leads with a score of 68, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricHyper AnnaAtlan
💰Valuation
N/A
N/A
📈Total Funding
$10M
$78MWINS
📅Founded
2015
2018WINS
🚀Stage
Series A
Series C
👥Employees
1-50
200-500
🌍Country
Australia
India
🏷️Category
AI Data
AI Data
Awaira Score
38
68WINS

Key Differences

📈

Funding gap: Atlan has raised $68M more ($78M vs $10M)

📅

Market experience: Hyper Anna has 3 years more (founded 2015 vs 2018)

🚀

Growth stage: Hyper Anna is at Series A vs Atlan at Series C

👥

Team size: Hyper Anna has 1-50 employees vs Atlan's 200-500

🌍

Market base: 🇦🇺 Hyper Anna (Australia) vs 🇮🇳 Atlan (India)

⚔️

Direct competitors: Both operate in the AI Data market segment

Awaira Score: Atlan scores 68/100 vs Hyper Anna's 38/100

Which Should You Choose?

Use these signals to make the right call

H

Choose Hyper Anna if…

  • More market experience — founded in 2015
  • Australia-based for regional compliance or proximity
  • Hyper Anna built an AI analytics assistant that enabled business users to ask questions about their data in natural language and receive charts, insights, and explanations without requiring SQL skills or data analyst support, applying natural language understanding and automated statistical analysis to business intelligence data from sales, marketing, and operations teams
A

Choose Atlan if…

Top Pick
  • Higher Awaira Score — 68/100 vs 38/100
  • Stronger investor backing — raised $78M
  • 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 — Hyper Anna vs Atlan

Is Hyper Anna bigger than Atlan?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Hyper Anna employs 1-50 people, while Atlan has 200-500 employees.
Which company raised more funding — Hyper Anna or Atlan?
Atlan has raised more in total funding at $78M, compared to Hyper Anna's $10M — a gap of $68M.
Which company has a higher Awaira Score?
Atlan holds the higher Awaira Score at 68/100, compared to Hyper Anna's 38/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 30-point gap that reflects meaningful differences in scale or traction.
Who founded Hyper Anna vs Atlan?
Hyper Anna was founded by Natalie Nguyen in 2015. Atlan was founded by Prukalpa Sankar in 2018. Visit each company's profile on Awaira for a full founder biography.
What does Hyper Anna do vs Atlan?
Hyper Anna: Hyper Anna built an AI analytics assistant that enabled business users to ask questions about their data in natural language and receive charts, insights, and explanations without requiring SQL skills or data analyst support, applying natural language understanding and automated statistical analysis to business intelligence data from sales, marketing, and operations teams. The Sydney company positioned its product as a self-service AI analyst for non-technical business users.\n\nThe company raised approximately $10 million in Series A funding from investors including Sequoia Capital and Reinventure. Hyper Anna was acquired by National Australia Bank in 2020, integrating its conversational analytics technology into NAB internal data analytics tools for business banking and retail teams. The acquisition gave NAB a natural language interface for data exploration that reduced dependency on centralized data analyst resources for routine business reporting queries.\n\nHyper Anna competed in the AI business intelligence market against ThoughtSpot, Tableau Ask Data, and Microsoft Power BI Q&A, all of which added natural language query features to established BI platforms around the same period. The acquisition by NAB reflects the pattern of Australian financial institutions acquiring local AI startups to build internal analytical capabilities, rather than deploying international BI platform vendors for all data access needs. The natural language analytics market has since been transformed by large language model capabilities that enable more sophisticated analytical dialogue than the structured query approaches pioneered by first-generation NL BI tools. 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?
Hyper Anna was founded first in 2015, giving it 3 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?
Hyper Anna has approximately 1-50 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 Hyper Anna and Atlan competitors?
Yes, Hyper Anna 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.