Overall Winner: Hawk AI·60/ 100

Hawk AI vs Voyager Labs

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

Winner
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 →
V
Voyager Labs

🇮🇱 Israel · Avi Kirshenboim

Series CAI SecurityEst. 2012

Valuation

N/A

Total Funding

$100M

52
Awaira Score52/100

100-500 employees

Full Voyager Labs Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Hawk AI and Voyager Labs 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. Voyager Labs builds AI investigation and intelligence software that aggregates and analyses open-source data from social media, news, and public records to support law enforcement, government intelligence agencies, and corporate security teams in conducting investigations and threat assessments.

Neither company has publicly disclosed a valuation at this time. On the funding side, Voyager Labs has raised $100M in total — $50M more than Hawk AI's $50M.

Voyager Labs has 6 years more market experience, having been founded in 2012 compared to Hawk AI's 2018 founding. Both companies are currently at the Series C stage of their journey.

Hawk AI operates out of 🇺🇸 United States while Voyager Labs is based in 🇮🇱 Israel, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Hawk AI leads with a score of 60, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricHawk AIVoyager Labs
💰Valuation
N/A
N/A
📈Total Funding
$50M
$100MWINS
📅Founded
2018WINS
2012
🚀Stage
Series C
Series C
👥Employees
100-500
100-500
🌍Country
United States
Israel
🏷️Category
AI Security
AI Security
Awaira Score
60WINS
52

Key Differences

📈

Funding gap: Voyager Labs has raised $50M more ($100M vs $50M)

📅

Market experience: Voyager Labs has 6 years more (founded 2012 vs 2018)

🌍

Market base: 🇺🇸 Hawk AI (United States) vs 🇮🇱 Voyager Labs (Israel)

⚔️

Direct competitors: Both operate in the AI Security market segment

Awaira Score: Hawk AI scores 60/100 vs Voyager Labs's 52/100

Which Should You Choose?

Use these signals to make the right call

H

Choose Hawk AI if…

Top Pick
  • Higher Awaira Score — 60/100 vs 52/100
  • United States-based for regional compliance or proximity
  • 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 Voyager Labs if…

  • Stronger investor backing — raised $100M
  • More market experience — founded in 2012
  • Israel-based for regional compliance or proximity
  • Voyager Labs builds AI investigation and intelligence software that aggregates and analyses open-source data from social media, news, and public records to support law enforcement, government intelligence agencies, and corporate security teams in conducting investigations and threat assessments

Users Also Compare

FAQ — Hawk AI vs Voyager Labs

Is Hawk AI bigger than Voyager Labs?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Hawk AI employs 100-500 people, while Voyager Labs has 100-500 employees.
Which company raised more funding — Hawk AI or Voyager Labs?
Voyager Labs has raised more in total funding at $100M, compared to Hawk AI's $50M — a gap of $50M.
Which company has a higher Awaira Score?
Hawk AI holds the higher Awaira Score at 60/100, compared to Voyager Labs's 52/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 8-point gap that reflects meaningful differences in scale or traction.
Who founded Hawk AI vs Voyager Labs?
Voyager Labs was founded by Avi Kirshenboim in 2012. Hawk AI's founder information is not currently available in our database.
What does Hawk AI do vs Voyager Labs?
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. Voyager Labs: Voyager Labs builds AI investigation and intelligence software that aggregates and analyses open-source data from social media, news, and public records to support law enforcement, government intelligence agencies, and corporate security teams in conducting investigations and threat assessments. The Tel Aviv company platform applies natural language processing and social network analysis to large volumes of unstructured public data to identify patterns, connections, and entities relevant to security investigations.\n\nThe company raised approximately $100 million in venture funding from investors including Koch Disruptive Technologies and Viola Ventures. Voyager Labs has faced public scrutiny regarding deployments at the Los Angeles Police Department and other law enforcement agencies, with civil liberties organisations raising concerns about the scope of social media monitoring enabled by the platform. The company operates in the law enforcement intelligence technology market alongside Palantir, Babel Street, and Clearview AI.\n\nVoyager Labs operates in the contested market for AI-powered law enforcement and intelligence tools, a segment that has grown significantly as open-source intelligence capabilities have expanded with social media data volumes. The company faces ongoing regulatory and reputational challenges around the appropriate use of AI social media monitoring for law enforcement purposes, reflecting broader societal debates about surveillance technology. The intersection of capable AI investigation tools and civil liberties considerations creates a complex operating environment that distinguishes this market from commercial enterprise AI software procurement.
Which company was founded first?
Voyager Labs 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?
Both Hawk AI and Voyager Labs report similar employee counts of approximately 100-500. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.
Are Hawk AI and Voyager Labs competitors?
Yes, Hawk AI and Voyager Labs 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.