Data intelligence and cyber security consulting for UK public sector
Daintta is a London-based consulting firm serving national security, law enforcement, and telecoms sectors with data intelligence and cyber security expertise. The tech stack reveals a testing-heavy, multi-cloud engineering practice (Playwright, Selenium, Cypress, Postman across AWS, Azure, GCP) paired with infrastructure-as-code maturity (Terraform, Ansible, CloudFormation, Kubernetes), suggesting deep involvement in secure, compliance-driven deployments. Hiring is concentrated in engineering and security roles at mid to lead level, with active projects spanning cyber strategy, AI product work, and technology-enabled change — indicating a shift from pure advisory toward building repeatable, scalable solutions.
Notable leadership hires: Product Technical Lead
Daintta advises UK government, law enforcement, and critical infrastructure organisations on data intelligence, cyber security, and communications security. Founded in 2019 and based in London, the firm employs 51–200 staff and operates as an independent consulting practice. Core service areas cover cyber security strategy, AI-driven data analysis, and technical implementation in highly regulated, secure environments. The current hiring focus on engineering and security roles, combined with active projects in AI product evolution and operational capability, signals a transition from consulting-only to delivering proprietary or semi-proprietary solutions within their specialist sectors.
Multi-cloud infrastructure (AWS, Azure, GCP) with testing frameworks (Playwright, Selenium, Cypress, Postman), backend languages (Java, Python, TypeScript, Rust, Go), containerisation (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible, CloudFormation). Compliance: ISO/IEC 27001, NIST.
London, England. Hiring is currently restricted to the United Kingdom.
Daintta'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.