Overall Winner: Signzy·63/ 100

Voyager Labs vs Signzy

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

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 →
Winner
S
Signzy

🇮🇳 India · Nikhil Idnani

Series BAI SecurityEst. 2015

Valuation

N/A

Total Funding

$26M

63
Awaira Score63/100

200-500 employees

Full Signzy Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Voyager Labs and Signzy compete directly in the AI Security space, making this a head-to-head matchup within the same market segment. 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. Signzy is a digital identity verification and KYC automation platform that uses AI-powered document analysis, liveness detection, and database integration to enable financial institutions and regulated businesses to onboard customers remotely with regulatory compliance.

Neither company has publicly disclosed a valuation at this time. On the funding side, Voyager Labs has raised $100M in total — $74M more than Signzy's $26M.

Voyager Labs has 3 years more market experience, having been founded in 2012 compared to Signzy's 2015 founding. In terms of growth stage, Voyager Labs is at Series C while Signzy is at Series B — a meaningful difference for investors evaluating risk and upside.

Voyager Labs operates out of 🇮🇱 Israel while Signzy is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Signzy leads with a score of 63, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricVoyager LabsSignzy
💰Valuation
N/A
N/A
📈Total Funding
$100MWINS
$26M
📅Founded
2012
2015WINS
🚀Stage
Series C
Series B
👥Employees
100-500
200-500
🌍Country
Israel
India
🏷️Category
AI Security
AI Security
Awaira Score
52
63WINS

Key Differences

📈

Funding gap: Voyager Labs has raised $74M more ($100M vs $26M)

📅

Market experience: Voyager Labs has 3 years more (founded 2012 vs 2015)

🚀

Growth stage: Voyager Labs is at Series C vs Signzy at Series B

👥

Team size: Voyager Labs has 100-500 employees vs Signzy's 200-500

🌍

Market base: 🇮🇱 Voyager Labs (Israel) vs 🇮🇳 Signzy (India)

⚔️

Direct competitors: Both operate in the AI Security market segment

Awaira Score: Signzy scores 63/100 vs Voyager Labs's 52/100

Which Should You Choose?

Use these signals to make the right call

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
S

Choose Signzy if…

Top Pick
  • Higher Awaira Score — 63/100 vs 52/100
  • India-based for regional compliance or proximity
  • Signzy is a digital identity verification and KYC automation platform that uses AI-powered document analysis, liveness detection, and database integration to enable financial institutions and regulated businesses to onboard customers remotely with regulatory compliance

Users Also Compare

FAQ — Voyager Labs vs Signzy

Is Voyager Labs bigger than Signzy?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Voyager Labs employs 100-500 people, while Signzy has 200-500 employees.
Which company raised more funding — Voyager Labs or Signzy?
Voyager Labs has raised more in total funding at $100M, compared to Signzy's $26M — a gap of $74M.
Which company has a higher Awaira Score?
Signzy holds the higher Awaira Score at 63/100, 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 11-point gap that reflects meaningful differences in scale or traction.
Who founded Voyager Labs vs Signzy?
Voyager Labs was founded by Avi Kirshenboim in 2012. Signzy was founded by Nikhil Idnani in 2015. Visit each company's profile on Awaira for a full founder biography.
What does Voyager Labs do vs Signzy?
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. Signzy: Signzy is a digital identity verification and KYC automation platform that uses AI-powered document analysis, liveness detection, and database integration to enable financial institutions and regulated businesses to onboard customers remotely with regulatory compliance. The platform processes identity documents, conducts video KYC, and provides risk scoring through APIs that integrate with banking and fintech onboarding workflows.\n\nThe company raised approximately $26M in Series B funding from investors including Vertex Ventures and Arkam Ventures, and serves a large base of banks, NBFCs, insurance companies, and fintech platforms in India. Signzy processed tens of millions of KYC verifications and has been recognized by the Reserve Bank of India for its video KYC framework contributions.\n\nVideo KYC and digital identity verification have become mandatory for regulated financial services in India, creating a large and recurring market for compliant identity infrastructure. Signzy's deep regulatory expertise and production track record across India's financial system give it a significant advantage over generic identity verification platforms that lack India-specific compliance depth.
Which company was founded first?
Voyager Labs was founded first in 2012, giving it 3 years of additional market experience. Signzy was founded later in 2015. 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?
Voyager Labs has approximately 100-500 employees, while Signzy 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 Voyager Labs and Signzy competitors?
Yes, Voyager Labs and Signzy 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.