About Sanciti AI
Enterprises don’t struggle to move fast. They struggle to move fast without breaking things. That question sat at the center of every conversation V2Soft’s engineering teams had with global clients, and it’s the reason Sanciti AI exists.
Sanciti AI isn’t a code assistant bolted onto an IDE. It’s an agentic platform that runs the full software lifecycle, requirements through testing, security, and maintenance. The agents don’t operate in isolation. RGEN hands off to CodeGen, CodeGen hands off to TestAI, and LEGMOD governs the whole sequence. Teams running Sanciti AI in production describe it less as a tool and more as the layer that keeps delivery predictable when everything else is moving.
Developed by V2Soft, Sanciti AI isn’t another code assistant. It’s an Agentic Gen AI platform built to manage the entire software journey: from generating requirements to testing, security, and maintenance. Its intelligent agents don’t just automate tasks — they work together, learning from real enterprise challenges and improving with each release. For many teams, Sanciti AI has become the silent backbone that keeps development cycles lean, predictable, and compliant.
Our Story
V2Soft’s teams kept hitting the same wall in 2021. AI coding tools worked fine for individual developers. They fell apart at enterprise scale, where a single codebase might span decades of undocumented logic, multiple compliance regimes, and dozens of interdependent systems. Point tools couldn’t handle that. A different question took shape: what if AI didn’t just assist a developer, but coordinated a team the way a delivery lead would?
Early builds tested small groups of agents working a shared task. That work matured into RGEN, TestAI, and the rest of what’s now a full ecosystem, each agent responsible for a distinct stage of the SDLC. By 2024, the platform was handling enterprise workloads end to end, from reverse-engineering legacy systems to generating production code. It’s grown from there.
Sanciti AI has raised over $4 million since inception, funding research, product development, and the enterprise integration work that regulated industries actually require.
That capital bought time. Time to test the architecture against real enterprise constraints instead of shipping fast and fixing later. Growth has come through partnerships and direct client feedback more than marketing, which is exactly how a platform meant for regulated industries should be built.
Every capability in Sanciti AI traces back to one design principle: automation should feel like collaboration. Engineers should be able to see what an agent did, why it did it, and where the review gate sits. That’s the difference between a tool people tolerate and one they trust with production code.
AI in the SDLC isn’t about removing engineers from the loop. It’s about removing the repetitive work that keeps them from doing the parts of the job that actually need judgment. The platform we’re building points toward engineers, QA teams, and AI agents working the same pipeline, each doing what they’re best at.
Not a single model wrapped in a UI. An orchestrated network of agents, each focused on a specific stage of the SDLC, working under a single governance layer that keeps sight of the bigger picture.
Together, they operate as one governed system, not a stack of disconnected tools.
Sanciti AI comes out of V2Soft, an IT solutions company with close to three decades of enterprise delivery work behind it. Teams across the US, Europe, and Asia built this platform around one shared conviction: AI can change how industries approach software delivery, but only if it’s built for how enterprises actually operate.
What started as an internal project in 2021 is now a funded platform used by organizations that won’t compromise on security, speed, or quality. Sanciti AI isn’t a rebrand of someone else’s model. It’s a product built by people who’ve spent careers delivering software at enterprise scale.
Full-service framework including:
Generates Requirements, Use cases, from code base.
Generates Automation and Performance scripts.
Code vulnerability assessment & Mitigation.
Production support & maintenance, Ticket analysis & reporting, Log monitoring analysis & reporting.
AI-Powered Legacy Modernization That
Accelerates, Secures, and Scales
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