On May 29, 2025, V2SOFT launched Sanciti AI, a generative AI platform designed to transform the Software Development Life Cycle (SDLC) by enhancing productivity, innovation, and cost savings.

Sanciti AI utilizes a proprietary multi-agent architecture and the latest advancements in large language models to comprehensively support all phases of the SDLC, from requirements generation to secure deployment.

The platform significantly enhances productivity and accelerates innovation, providing organizations with substantial cost savings while addressing the complexities of software development.

Arun Shanbhag, VP of Products and Innovation, highlighted that clients using V2SOFT's delivery teams can access Sanciti AI at no additional cost, potentially reducing project budgets by up to 40%.

Early adopters in finance, healthcare, and tech sectors reported impressive results, including a 40% faster development cycle and a 25% reduction in time to market.

Sanciti AI is built with security and compliance in mind, adhering to standards such as ADA, HIPAA, OWASP, and NIST, ensuring enterprise-grade data security.

The platform is available as a SaaS solution or on-premise, offering flexibility and customization to meet specific organizational needs.

Sanciti AI integrates seamlessly with popular developer tools like GitHub and Jira, enhancing collaboration between human developers and AI.

Key functionalities include converting natural language into structured user stories, providing real-time coding assistance, generating standards-compliant code, and automating testing.

Current use cases for Sanciti AI involve converting legacy applications to web formats, reverse engineering older systems, and generating automatic test coverage for existing applications.

Varchasvi Shankar, CEO of V2SOFT, emphasized that Sanciti AI aims to redefine software development from initial coding to deployment.

Overall, Sanciti AI enhances productivity, accelerates innovation, and provides cost savings, effectively addressing the complexities and tight timelines in software development.