IT consultancy delivering SAP, Salesforce, data and QA engineering services
Natobotics is a London-based IT services firm whose stack spans Salesforce (Apex, Lightning Web Components, MuleSoft), SAP and a deep QA toolchain including Selenium, SpecFlow, Provar, JMeter and LoadRunner. Project signals cluster around SAP Datasphere, S/4HANA migrations and governed data models, while adoption of Terraform, Kubernetes, Snyk and GitHub Advanced Security alongside the move off Subversion points to modernized DevSecOps delivery. Hiring is accelerating and senior-weighted.
Natobotics is a privately held technology consultancy founded in 2012 and headquartered in London, with 51–200 employees. It provides software development, consulting and digital customer experience services across cloud transformation, big data, analytics and machine learning. Its specialties cover sectors such as financial services, healthcare, media and telecom. Delivery work spans SAP, Salesforce, Java and Oracle environments across AWS, Azure and GCP. The firm hires across the United Kingdom, India, Germany, the United States and Romania.
Natobotics works with Salesforce, MuleSoft, Apex, SAP, C#, Java, SQL Server, Oracle Database, AWS, Azure and GCP, plus testing tools like Selenium, SpecFlow, Provar, JMeter and TestRail.
Projects include integrating SAP S/4HANA, ECC and SuccessFactors into SAP Datasphere, building Delta Lake medallion data models, SAP Commissions implementation and disaster recovery roadmap development.
Natobotics hires in the United Kingdom, India, Germany, the United States and Romania, with an engineering- and data-heavy, senior-leaning hiring mix.
Other companies in the same industry, closest in size
Natobotics'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.