About

About Us

With over 35+ years of professional experience, our founder brings deep expertise from the Waste-to-Energy industry along with strong leadership in project development and engineering. Today, in collaboration with a team of young and talented professionals, we focus on addressing real-world challenges in the Pharma and Packaging sectors through practical and innovative solutions.

Our products, including EzyTRF, EzyStock, EzyLabel, EzyProof, EzyTrend, EzyStability, and eShipIt, are built to address specific workflow challenges across pharmaceutical R&D, analytical development, packaging, stability, and laboratory operations. By combining domain knowledge with technology, we aim to deliver efficient, reliable, and user-friendly tools that help organizations improve accuracy, save time, and ensure compliance.

Founder portrait for KPackTech
K. Sreenivasa Rao
Founder

Chemical Engineer with 35+ years of experience, including leadership roles in the Waste-to-Energy (WtE) sector. Former Group Head - Business Development at Hitachi Zosen India. Associated with WTERT (Asia & India) and CII Task Force on Waste Management.

Team

Meet Our Team

Dinakar
Dinakar
Sr. Technical Consultant & Data Analyst
Nandini
Nandini
Sales and Marketing

Building practical software around real industry experience.

Our experience-driven approach shapes how we design products, prioritize usability, and deliver long-term value for teams working in regulated and detail-sensitive environments.

TRF workflow digitization

Replace manual test request paperwork with digital submission, approval routing, assignment, tracking, and closure across PD and ARD teams.

R&D inventory control

Manage material masters, receipts, stock updates, dispensing, and consumption tracking with a lightweight system tailored for laboratory and warehouse workflows.

Artwork verification

Compare two artwork PDFs pixel-by-pixel, verify Pharma Codes and barcodes, and generate a structured compliance report with a clear final disposition.

Stability study labeling

Generate print-ready labels for every sample, condition, and time point in a stability study - configured once and produced accurately at scale.

Stability data analysis

Upload stability datasets, run regression analysis with 95% confidence intervals, visualise degradation trends, and determine estimated shelf life for regulatory documentation.

Shipping process support

Optimise shipper box dimensions and pallet configurations to maximise cubic utilisation, reduce shipping costs, and visualise stacking patterns before dispatch.