Prologic Technologies Featured in NASSCOM AI Research Compendium 2026

A proud milestone in our journey of AI research, engineering, and innovation.

Prologic Technologies is proud to share that our PAINE (Prologic AI Native Engineering) framework has been featured in the NASSCOM AI Research Compendium 2026, on page 83.

This recognition marks an important milestone for our team and reflects our commitment to exploring new approaches to software engineering through artificial intelligence.

The compendium brings together 30 selected research assets from more than 225 submissions across academia, startups, and enterprise research labs. It highlights promising innovations and the importance of creating stronger pathways between AI research and real-world industry applications.

Introducing PAINE: Prologic AI Native Engineering

PAINE is a human-in-the-loop AI artifact pipeline designed for software engineering. It brings together structured engineering stages, specialized AI agents, and human review to support a more organized, traceable, and governed development process.

The framework combines:

• 13 structured engineering stages to organize the software development pipeline.
• 10 specialized AI agents that operate within defined engineering responsibilities.
• Human review at every stage to maintain oversight throughout the workflow.
• LangGraph-based orchestration to coordinate agent workflows.
• Governance and traceability through logging and reviewable engineering artifacts.
• Artifact-first development to support the development of web and mobile applications.

This approach reflects our interest in engineering workflows where AI capabilities are combined with structured processes, human oversight, and clear accountability.

Why India’s AI research ecosystem matters

India’s AI ecosystem continues to bring together researchers, technology companies, startups, and academic institutions working on new ideas and applications.

Research is an important starting point, but translating research into practical solutions also requires engineering discipline, collaboration, evaluation, and an understanding of real-world needs.

Initiatives such as the NASSCOM AI Research Compendium help bring visibility to selected research assets and create opportunities for conversations between researchers and industry stakeholders.

Connecting research with implementation can help organizations explore how AI innovations may address software engineering challenges and other industry needs.

What this milestone means for Prologic Technologies

For Prologic Technologies, being featured in the compendium is an encouraging milestone in our ongoing work across software engineering and AI-driven innovation.

It gives us an opportunity to share our work with a wider community of technology professionals, researchers, and industry leaders. It also reinforces the importance of approaching AI engineering with a focus on structured workflows, human oversight, governance, and practical applications.

We recognize that meaningful progress in AI requires continued experimentation, collaboration, and learning. We look forward to building on this milestone while exploring how AI-native engineering approaches can support software development.

Thank you to NASSCOM AI

Our sincere thanks to NASSCOM AI and the entire NASSCOM AI team for their efforts in compiling and bringing the NASSCOM AI Research Compendium 2026 to life.

We appreciate the initiative’s contribution to highlighting selected AI research and innovation, and to supporting connections between research and industry opportunities.

We are proud to be part of India’s growing AI innovation ecosystem and look forward to contributing to its continued progress.

Explore the NASSCOM AI Research Compendium 2026

Our PAINE framework is featured on page 83 of the compendium.

Read the official report:
https://nasscom.in/ai/pdf/Research_Compendium_2026.pdf

Connect with Prologic Technologies to discuss AI engineering, software development, and potential collaboration opportunities.

Prologic Technologies — Advancing software engineering through innovation.