AI security and red-team consulting for enterprise transformation
C-Serv is a consulting firm staffed primarily by security specialists (27 of 40 active hires are security-focused) building AI adversarial testing and red-team engagements. The tech stack—Python, OpenAI, Anthropic, RAG, FastAPI, Kubernetes, SageMaker, PyTorch—reveals a technical consulting operation that runs hands-on inference pipelines and attack automation rather than selling packaged software. Their project backlog (threat modeling, prompt injection testing, multi-agent red teams, real-time inference) and stated pain points (AI risk findings isolated in slide decks, governance gaps, LLM vulnerability discovery) indicate they're addressing a gap: enterprises have AI security concerns but no operational pathway to remediate them at scale.
C-Serv partners with technology leaders and high-growth companies in 50+ countries to build delivery teams and provide consulting support across networking, cloud, cybersecurity, and AI. The firm operates from London and spans 51–200 employees. Their engagement model combines staff augmentation (embedded teams in new regions) with advisory services focused on security assurance, infrastructure resilience, and AI system hardening. They serve organizations from startups to billion-dollar enterprises navigating complex technology transformation.
C-Serv uses Python, FastAPI, Kubernetes, Docker, SageMaker, PyTorch, AWS/Azure/GCP, F5 BIG-IP/GTM, Terraform, ArgoCD, OpenAI, Anthropic, and observability tools (Prometheus, OpenTelemetry).
C-Serv is actively hiring in the United Kingdom, United States, Canada, and Saudi Arabia, with accelerating hiring velocity.
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C-Serv'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.