AI is transforming the software development life cycle (SDLC) into a product delivery life cycle (PDLC). We aim to accelerate AI and Gen AI adoption while developing eco-friendly, energy-efficient products and services. We believe the AI stack isn’t just about optimizing processes, but fundamentally reinventing delivery practices, roles and tools.

Transform delivery practices

We redefine the role of the traditional software developer into an "AI Product Engineer", who not only leverages AI tools, but also masters the art of "prompt context." Our approach emphasizes smaller, truly lean teams that enable faster delivery through innovative practices like Mob AI programming.

Change the way we code

We’ve revolutionized our coding approach by focusing on context and prompt rather than just manual practices. Our goal is to harness the full potential of AI tools for complete code generation, not just code completion.

Leverage an AI-friendly stack

We utilize a proven AI-friendly stack that integrates AI across the entire delivery and product life cycle (PDLC). This approach allows us to seamlessly design, code, and test for back-end, APIs, and front-end, rather than applying AI in a fragmented manner across just a few steps.

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Key Benefits & Target Indicators 

40% reduction in

development time

Our AI-driven software engineering practices accelerate development cycles, cutting time-to-market through automation and optimized workflows.

33% improvement

in code quality

By implementing AI and Gen AI tools for code analysis and optimization, we build more reliable and maintainable software.

30% boost in

productivity

With enhanced collaboration and AI-powered tools, we enable faster delivery of high-quality AI solutions.

30% reduction of

carbon footprint

Our software engineering approach, including Green IT practices, reduces energy consumption and carbon emissions.

Partnering with the best in tech

Freedom of Mobility Forum
Bain & Company
OpenAI
Claude
Microsoft
AWS
Visual Studio
Google-Cloud
MongoDB
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