Overall Winner: Vectra AI·66/ 100

Hawk AI vs Vectra AI

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

H
Hawk AI

🇺🇸 United States

Series CAI SecurityEst. 2018

Valuation

N/A

Total Funding

$50M

60
Awaira Score60/100

100-500 employees

Full Hawk AI Profile →
Winner
V
Vectra AI

🇺🇸 United States · Hitesh Sheth

Series FAI SecurityEst. 2012

Valuation

$1.2B

Total Funding

$425M

66
Awaira Score66/100

650 employees

Full Vectra AI Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Hawk AI and Vectra AI compete directly in the AI Security space, making this a head-to-head matchup within the same market segment. Hawk AI develops anti-money laundering (AML) and fraud detection software that combines traditional rule-based transaction monitoring with machine learning models to reduce false positive alert rates and improve detection of genuine financial crime patterns. Vectra AI is a cybersecurity company founded in 2012 that specializes in AI-driven threat detection and response.

Vectra AI carries a known valuation of $1.2B, while Hawk AI's valuation has not been publicly disclosed. On the funding side, Vectra AI has raised $425M in total — $375M more than Hawk AI's $50M.

Vectra AI has 6 years more market experience, having been founded in 2012 compared to Hawk AI's 2018 founding. In terms of growth stage, Hawk AI is at Series C while Vectra AI is at Series F — a meaningful difference for investors evaluating risk and upside.

Both companies are headquartered in 🇺🇸 United States, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, Vectra AI leads with a score of 66, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricHawk AIVectra AI
💰Valuation
N/A
$1.2B
📈Total Funding
$50M
$425MWINS
📅Founded
2018WINS
2012
🚀Stage
Series C
Series F
👥Employees
100-500
650
🌍Country
United States
United States
🏷️Category
AI Security
AI Security
Awaira Score
60
66WINS

Key Differences

📈

Funding gap: Vectra AI has raised $375M more ($425M vs $50M)

📅

Market experience: Vectra AI has 6 years more (founded 2012 vs 2018)

🚀

Growth stage: Hawk AI is at Series C vs Vectra AI at Series F

👥

Team size: Hawk AI has 100-500 employees vs Vectra AI's 650

⚔️

Direct competitors: Both operate in the AI Security market segment

Awaira Score: Vectra AI scores 66/100 vs Hawk AI's 60/100

Which Should You Choose?

Use these signals to make the right call

H

Choose Hawk AI if…

  • Hawk AI develops anti-money laundering (AML) and fraud detection software that combines traditional rule-based transaction monitoring with machine learning models to reduce false positive alert rates and improve detection of genuine financial crime patterns
V

Choose Vectra AI if…

Top Pick
  • Higher Awaira Score — 66/100 vs 60/100
  • More established by valuation ($1.2B)
  • Stronger investor backing — raised $425M
  • More market experience — founded in 2012
  • Vectra AI is a cybersecurity company founded in 2012 that specializes in AI-driven threat detection and response

Funding History

Hawk AI raised $50M across 0 rounds. Vectra AI raised $425M across 5 rounds.

Hawk AI

No public funding data available.

Vectra AI

Series E

Jan 2021

$150M

Series D

Jan 2018

$70M

Series C

Jan 2016

$50M

Series B

Jan 2014

$25M

Series A

Jan 2013

$10M

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FAQ — Hawk AI vs Vectra AI

Is Hawk AI bigger than Vectra AI?
Vectra AI has a disclosed valuation of $1.2B, while Hawk AI's valuation is not publicly available, making a direct size comparison difficult. Vectra AI employs 650 people.
Which company raised more funding — Hawk AI or Vectra AI?
Vectra AI has raised more in total funding at $425M, compared to Hawk AI's $50M — a gap of $375M. Combined, the two companies have completed 5 known funding rounds.
Which company has a higher Awaira Score?
Vectra AI holds the higher Awaira Score at 66/100, compared to Hawk AI's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 6-point gap that reflects meaningful differences in scale or traction.
Who founded Hawk AI vs Vectra AI?
Vectra AI was founded by Hitesh Sheth in 2012. Hawk AI's founder information is not currently available in our database.
What does Hawk AI do vs Vectra AI?
Hawk AI: Hawk AI develops anti-money laundering (AML) and fraud detection software that combines traditional rule-based transaction monitoring with machine learning models to reduce false positive alert rates and improve detection of genuine financial crime patterns. The platform is deployed by banks and payment service providers globally to automate suspicious activity review and support SAR filing workflows.\n\nThe company raised approximately 50 million USD and has established a European customer base anchored in Germany before expanding to financial institutions across the US, UK, and Asia Pacific. Hawk AI targets the acute compliance cost problem in AML operations, where traditional rule-based monitoring generates 95 to 99 percent false positive rates that consume analyst resources without proportionally improving detection outcomes.\n\nRegulatory pressure on financial crime compliance is intensifying globally, with fines for AML failures reaching multi-billion dollar levels at major institutions. AI-driven compliance platforms that demonstrably reduce false positives while maintaining or improving suspicious activity detection carry a compelling ROI story for compliance departments managing growing alert volumes with constrained headcount. Hawk AI competes with established vendors and a growing field of AI-native AML startups. Vectra AI: Vectra AI is a cybersecurity company founded in 2012 that specializes in AI-driven threat detection and response. The company develops network detection and response (NDR) and cloud detection and response (CDR) platforms designed to identify and investigate cyberattacks in real-time. Its core technology uses machine learning algorithms to analyze network traffic and cloud activity, distinguishing between normal behavior and malicious threats without relying solely on signature-based detection. Vectra's primary products include Cognito for network security and Cognito for cloud environments. These platforms provide threat hunting, incident investigation, and threat prioritization capabilities. The company serves enterprise customers across various sectors, including financial services, healthcare, and critical infrastructure. With a valuation of $1.2 billion and total funding of $425 million across Series F and earlier rounds, Vectra operates in the competitive AI security market alongside companies like CrowdStrike and Palo Alto Networks. The company has established itself in the detection and response segment rather than prevention-focused solutions. Vectra competes on its behavioral analytics approach and cloud-native capabilities. The company has demonstrated steady growth within the cybersecurity industry, driven by increasing demand for advanced threat detection and the shift toward cloud infrastructure. Its positioning reflects broader industry trends toward AI-augmented security operations. Vectra pioneered the network detection and response category by applying AI-driven behavioral analytics to identify advanced threats that signature-based tools miss.
Which company was founded first?
Vectra AI was founded first in 2012, giving it 6 years of additional market experience. Hawk AI 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?
Hawk AI has approximately 100-500 employees, while Vectra AI has approximately 650. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Hawk AI and Vectra AI competitors?
Yes, Hawk AI and Vectra AI are direct competitors — both operate in the AI Security space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.