Post Quantum vs Darktrace

Darktrace has a disclosed valuation of $5.3B, 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. Combined, the two companies have completed 5 known funding rounds.

Darktrace leads with an Awaira Score of 85/100, while Post Quantum sits at 45/100. That 40-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

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

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. 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 got there first, launching in 2009 — that's 4 years 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.

Post Quantum has about 1-50 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 Post Quantum and Darktrace compete in AI Security, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.