Twenty is a defense-focused software company building cyber capabilities at scale for government warfighting missions. The stack—Go, Java, Rust, Kafka, Neo4j, AWS security primitives (GuardDuties, CloudTrail, Security Hub)—reflects deep real-time operational requirements: the prevalence of event-driven patterns (NATS, RabbitMQ, Kafka, SQS) and graph databases (Neo4j, Neptune) signals they're processing complex threat intelligence and relationship data at high throughput. The hiring velocity is accelerating across an engineering-heavy org (14 engineers, mostly senior/staff level), with parallel scaling in finance and HR typical of post-seed defense contractors managing hypergrowth and investor relations.
Twenty delivers cyber capabilities to the U.S. government and allied nations, bridging R&D and operational deployment at speed. Founded in 2024 and based in Arlington, VA, the company operates as a 11–50 person engineering organization backed by defense-focused investors including In-Q-Tel, General Catalyst, and Caffeinated Capital. Active projects span operational infrastructure (scalable Go backends, data lakes for cyber operations, automation workflows), AI applications on graph data, and internal systems (cash management, vendor strategy, accounting for hypergrowth). Core challenges center on sustained throughput and latency under mission-critical conditions, multi-environment operations (cloud and on-prem), and the financial complexity of rapid scaling.
Go, Java, Kotlin, C#, Python, Rust for compute; Kafka, NATS, RabbitMQ, AWS SQS for events; Neo4j and AWS Neptune for graph workloads; Terraform, Ansible, GitLab CI/CD, CircleCI for infrastructure; Grafana, Loki, Tempo, Mimir for observability; PostgreSQL for persistence.
Real-time cyber operational infrastructure including data lakes, scalable Go backends, event-driven systems, AI-powered graph applications, and operational automation. Also developing internal finance/HR systems to support hypergrowth and fundraising operations.
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Twenty's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.