Staff augmentation and AI-enabled IT support for enterprise operations
Supportwave supplies embedded software engineers and IT support staff to enterprises, paired with an AI-powered helpdesk platform. The tech stack is heavily AWS-focused (EKS, ECS, RDS, CDK, CloudFormation) with multi-cloud redundancy (Azure, GCP) and enterprise observability (Splunk, Elasticsearch, AppDynamics), indicating infrastructure-as-code maturity and compliance-grade monitoring. Active adoption of cloud AI services (Azure AI Foundry, Bedrock, Copilot Studio, Gemini) signals aggressive AI integration into client delivery—both embedded engineering workflows and support triage—while project focus on microservices, event-driven architecture, and endpoint management reflects the regulated, infrastructure-heavy customer base they serve.
Supportwave is a London-based enterprise technology services company founded in 2019, delivering pre-vetted software developers and IT support engineers embedded within client teams globally, alongside an AI-enabled IT helpdesk platform. The company operates across the UK, US, EU, and South Africa, serving mid-market and enterprise customers navigating legacy system modernization, cloud migration, and endpoint compliance. Projects span microservices architecture, AI-assisted engineering, backend tooling, and Windows/Intune endpoint optimization. Pain points tracked across their engagement base include PCI-DSS compliance, operational resilience, platform reliability during legacy-to-modern transitions, and AI modernization in regulated sectors like banking.
AWS-primary (EKS, ECS, RDS, CDK, CloudFormation, KMS), with Azure and GCP multi-cloud support. Observability via Splunk, Elasticsearch, AppDynamics. Backend: Java, Scala, Spring Boot, Python, Go; frontend: React, Angular. Adopting cloud AI: Azure AI Foundry, Amazon Bedrock, Copilot Studio, Gemini.
London, UK. Founded in 2019. Operates in UK, US, EU, and South Africa with 51–200 employees.
Supportwave'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.