Voyager Labs vs Darktrace

Darktrace has a disclosed valuation of $5.3B, while Voyager Labs's valuation is not publicly available, making a direct size comparison difficult. Darktrace employs 1000-5000 people.

Darktrace has raised more in total funding at $230M, compared to Voyager Labs's $100M — a gap of $130M. Combined, the two companies have completed 6 known funding rounds.

Darktrace leads with an Awaira Score of 85/100, while Voyager Labs sits at 52/100. That 33-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Voyager Labs was founded by Avi Kirshenboim in 2012. Darktrace was founded by Poppy Gustafsson in 2013. Visit each company's profile on Awaira for a full founder biography.

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 Market-shifting 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. Darktrace: Darktrace is an AI cybersecurity company that applies unsupervised machine learning to detect and respond to cyber threats inside enterprise networks, email systems, cloud environments, and operational technology. The Cambridge-based company pioneered the concept of the enterprise immune system, training AI models on each organisation normal network behaviour to identify anomalies that indicate intrusion, insider threat, or ransomware activity in real time without requiring predefined threat signatures.\n\nThe company went public on the London Stock Exchange in 2021, raising approximately $230 million in its IPO after backing from Invoke Capital, Vitruvian Partners, and KKR. Darktrace reports over 9,000 enterprise customers across more than 100 countries, including significant deployments in financial services, healthcare, and critical infrastructure. The company has expanded from network detection to autonomous response capabilities through its Antigena product, which can quarantine infected systems and neutralise threats without human intervention.\n\nDarktrace competes in the AI-native cybersecurity market against CrowdStrike, SentinelOne, and Microsoft Defender, as well as against SIEM vendors including Splunk and IBM QRadar. The company valuation and public market performance have been volatile, reflecting broader uncertainty around AI cybersecurity spending cycles and questions about autonomous response effectiveness in complex enterprise environments. Its AI self-learning approach, applied consistently across network, email, cloud, and OT security, remains a distinctive architecture compared to detection-rule-based competitors, and the Poppy Gustafsson leadership profile has made Darktrace a flagship case study for UK technology entrepreneurship.

Voyager Labs got there first, launching in 2012 — that's 1 year of extra runway. Darktrace didn't arrive until 2013. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Voyager Labs has about 100-500 employees; Darktrace has about 1000-5000. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Voyager Labs and Darktrace compete in AI Security, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.