Staff augmentation and IT services for banking, insurance, and enterprise
Deda Speed is a Milan-based IT services firm specializing in staff augmentation for financial services and large corporates. The tech stack reveals a mixed-age operation: heavy legacy (COBOL, CICS, DB2, Oracle, Unix) alongside modern web and IoT layers (React Native, Angular, AWS, MQTT, real-time integrations). Current hiring is engineering-heavy (9 of 16 open roles) and skewed junior, suggesting either ramp-up for a new client engagement or difficulty retaining mid-to-senior talent—a common pressure point in consulting.
Deda Speed provides staff augmentation and high-value IT services to banks, insurers, and large enterprises across Italy. The company operates a scalable delivery model built on Agile methodologies, deploying specialized engineering teams to manage workload spikes and complex technical projects. Active engagements span network infrastructure (railways), IoT platforms, mobile applications, and microservices modernization on Microsoft platforms. The pain-point cluster—disaster recovery, high-availability systems, network architecture alignment, IT support scaling—reflects a customer base managing mission-critical, distributed infrastructure where temporary specialized capacity is cheaper than permanent headcount.
Mixed legacy and modern: Oracle Database, COBOL, CICS, DB2, Unix for backend systems; Python, Java, C#, JavaScript/TypeScript for application layers; React Native and Angular for mobile/web; AWS, Cisco, and MQTT for infrastructure and IoT.
Railway network and hardware system delivery, IoT data integration platforms, mobile apps for air quality monitoring, and microservices development on Microsoft platforms.
Deda Speed'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.