Post Quantum vs Vectra AI

Vectra AI has a disclosed valuation of $1.2B, while Post Quantum's valuation is not publicly available, making a direct size comparison difficult. Vectra AI employs 650 people.

Vectra AI has raised more in total funding at $425M, compared to Post Quantum's $30M — a gap of $395M. Combined, the two companies have completed 5 known funding rounds.

Vectra AI holds the higher Awaira Score at 66/100, 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 21-point gap that reflects meaningful differences in scale or traction.

Post Quantum was founded by Andersen Cheng in 2009. Vectra AI was founded by Hitesh Sheth in 2012. 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. Vectra AI: Vectra AI is a cybersecurity company founded in 2012 that specializes in AI-driven threat detection and response. The company develops network detection and response (NDR) and cloud detection and response (CDR) platforms designed to identify and investigate cyberattacks in real-time. Its core technology uses machine learning algorithms to analyze network traffic and cloud activity, distinguishing between normal behavior and malicious threats without relying solely on signature-based detection. Vectra's primary products include Cognito for network security and Cognito for cloud environments. These platforms provide threat hunting, incident investigation, and threat prioritization capabilities. The company serves enterprise customers across various sectors, including financial services, healthcare, and critical infrastructure. With a valuation of $1.2 billion and total funding of $425 million across Series F and earlier rounds, Vectra operates in the competitive AI security market alongside companies like CrowdStrike and Palo Alto Networks. The company has established itself in the detection and response segment rather than prevention-focused solutions. Vectra competes on its behavioral analytics approach and cloud-native capabilities. The company has demonstrated steady growth within the cybersecurity industry, driven by increasing demand for advanced threat detection and the shift toward cloud infrastructure. Its positioning reflects broader industry trends toward AI-augmented security operations. Vectra pioneered the network detection and response category by applying AI-driven behavioral analytics to identify advanced threats that signature-based tools miss.

Post Quantum was founded first in 2009, giving it 3 years of additional market experience. Vectra AI was founded later in 2012. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Post Quantum has approximately 1-50 employees, while Vectra AI has approximately 650. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Post Quantum and Vectra AI 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.