Darktrace vs Post Quantum

Darktrace has a disclosed valuation of $1.7B, while Post Quantum'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 Post Quantum's $30M — a gap of $200M.

Darktrace holds the higher Awaira Score at 85/100, compared to Post Quantum's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 40-point gap that reflects meaningful differences in scale or traction.

Darktrace was founded by Poppy Gustafsson in 2013. Post Quantum was founded by Andersen Cheng in 2009. Visit each company's profile on Awaira for a full founder biography.

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. Post Quantum: Post Quantum develops cryptographic security products designed to withstand attacks from quantum computers, offering post-quantum encryption protocols, secure communications applications, and identity verification technology that protect data against both classical and quantum computing threats. The London company is among the longest-established organisations in the quantum-safe cryptography market, having focused on this security category before it gained mainstream attention following NIST post-quantum cryptography standardisation efforts.\n\nThe company raised approximately $30 million in venture funding and counts government agencies, financial institutions, and critical infrastructure operators among its clients. Post Quantum products include an encrypted communications app and a software library implementing post-quantum cryptographic primitives, as well as consulting services for organisations planning cryptographic migrations. The company has participated in NATO and government procurement processes for quantum-safe communications.\n\nPost Quantum competes with Quantinuum, IBM Quantum Safe, and PQShield in the post-quantum cryptography market, as well as larger cybersecurity vendors integrating quantum-safe features into existing product suites. The NIST finalisation of post-quantum cryptography standards in 2024 significantly accelerated enterprise and government planning for cryptographic migration, expanding the commercial opportunity for specialist vendors. The harvest now decrypt later threat model, where adversaries collect encrypted data today to decrypt once quantum computers mature, is creating compliance urgency in defence, financial services, and national security organisations.

Post Quantum was founded first in 2009, giving it 4 years of additional market experience. Darktrace was founded later in 2013. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Darktrace has approximately 1000-5000 employees, while Post Quantum has approximately 1-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Darktrace and Post Quantum 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.