Former Infosys CEO Vishal Sikka launches AI-driven IT services startup backed by Mayfield and Aramco Ventures.
Sikka's return to IT services indicates a market realization that enterprise AI adoption requires heavy, bespoke integration rather than just off-the-shelf SaaS tools. By leveraging AI to automate legacy modernization and system integration, this venture aims to decouple SI revenue from linear headcount. This signals the emergence of AI-native system integrators built to disrupt the traditional billable-hour body-shop model.
Vishal Sikka, former Infosys CEO and SAP CTO, is launching a new venture aimed at disrupting the traditional IT services industry. Backed by Mayfield and Aramco Ventures, the startup is assembling a core team of veterans from SAP, Infosys, and Sikka’s enterprise AI platform, VianAI.
Technical Context The traditional IT services model relies heavily on linear headcount scaling—deploying thousands of engineers for system integration, legacy modernization, and maintenance. Sikka’s background with SAP HANA (in-memory databases) and VianAI (enterprise AI platforms) strongly suggests this new entity will operate as an "AI-native System Integrator." Instead of throwing human developers at legacy codebases, the technical approach will likely center on agentic workflows, automated code refactoring, and AI-driven ETL pipelines. By utilizing large language models (LLMs) fine-tuned on enterprise architectures, the startup aims to automate the generation of APIs, middleware, and data mapping required to connect and modernize legacy systems.
Why It Matters From an engineering perspective, enterprise AI is currently hitting an integration wall. Organizations are discovering that deploying modern AI over messy, fragmented legacy data is incredibly difficult. Traditional SIs are attempting to upskill their massive workforces to handle this, but their fundamental business model remains tied to billable hours. An AI-first SI built from the ground up can theoretically decouple revenue from headcount, delivering complex system integrations at a fraction of the cost and time. Sikka is essentially trying to automate the very industry he once led. Furthermore, the backing of Aramco Ventures indicates a strategic focus on the energy and industrial sectors—environments characterized by massive scale, strict security, and deeply entrenched legacy operational technology (OT).
What to Watch Next Monitor the startup's early technical stack disclosures. Specifically, look at whether they are building proprietary AI orchestration layers or wrapping existing frameworks to interface directly with legacy ERPs. The first enterprise pilots, likely within Aramco's ecosystem, will be the critical benchmark to see if AI-driven integration can actually execute complex data migrations and system modernizations without falling back on the traditional human-in-the-loop service model.