Bureau builds a no-code identity decisioning platform designed to automate fraud detection, risk scoring, and compliance monitoring. The tech stack is AWS-native (EKS, RDS, KMS, GuardDuty, WAF) paired with mobile SDKs across Android, iOS, and Flutter—indicating both backend infrastructure depth and a push toward consumer-facing mobile adoption. Active hiring spans engineering, sales, and security with mid-to-senior weighting, while the project list reveals infrastructure hardening, rule-engine development, and SDK ecosystem work: signs of a company scaling from early-stage integration challenges toward production stability and broader platform adoption.
Bureau, founded in 2020 and based in San Francisco, operates a no-code platform for digital identity decisioning that combines risk assessment, compliance management, and continuous fraud monitoring. The platform uses AI-driven orchestration to surface risk scores and identity trustworthiness signals, serving businesses that need to balance customer frictionless transacting with fraud prevention and regulatory risk containment. The company maintains ISO 27001:2013 certification and operates at 51–200 headcount, with recent project emphasis on transaction monitoring systems, rule-engine development, and hardening cloud infrastructure. Hiring velocity is accelerating, with active recruitment across India and roles concentrated in engineering and sales.
AWS infrastructure (EKS, RDS, KMS, GuardDuty, WAF, CloudTrail, Security Hub), Terraform and Helm for orchestration, mobile SDKs in Android (Kotlin, Java), iOS (Swift, UIKit), and Flutter (Dart), plus React Native and standard web tech (JavaScript, TypeScript, HTML/CSS).
San Francisco. The company is privately held, founded in 2020, and operates at 51–200 employees with recent hiring expansion in India.
Other companies in the same industry, closest in size
Bureau'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.