Acendae has announced a rebranding initiative alongside a significant expansion of its engineering and design operations in Sri Lanka, as the Netherlands-based company advances its broader European growth strategy.
Acendae provides embedded engineering teams to startups, scaleups, and digital agencies across European markets, supporting organisations as they build and scale technology products.
Aligning with AI-Driven Transformation
The global software industry is undergoing a rapid transformation as artificial intelligence becomes increasingly integrated into engineering workflows, reshaping how software products are designed, developed, and delivered at scale.
Acendae CEO Pramuka Godakanda said the company is aligning its long-term strategy with these changes in the software industry.
“The industry is moving toward AI-first engineering environments. Our focus is on building teams that can operate effectively within that reality,” he said.
Expanding Distributed Engineering Capabilities
The expansion further strengthens Acendae’s distributed engineering capabilities across Europe and Asia while reinforcing Sri Lanka’s position as a key technology talent hub within the company’s global network.
Through the expanded operations, Acendae aims to build stronger engineering and design capabilities that can support its European clients while responding to the evolving demands of AI-driven software development.
Roar Global’s BrandRadar Unveils Sri Lanka’s Most Comprehensive AI Visibility Study
BrandRadar, the AI Search growth consultancy and intelligence platform operated by Roar Global, has released The State of AI Visibility in Sri Lanka 2026, presented as the country’s broadest index tracking how brands are named, surfaced, and recommended across leading AI platforms, including ChatGPT, Google Gemini, and Perplexity.
The report analyses 198 brands across 18 market segments, spanning six key industries, including automotive, hospitality, financial services, real estate, and retail. Conducted throughout March, April, and May 2026, the study offers an extensive local perspective on how brand discovery is evolving amid the rapid adoption of AI-powered search and recommendation systems.
The report follows BrandRadar’s introduction at Roar Global’s inaugural AI Visibility Summit in Colombo earlier this year, where the company outlined its proposition to help brands understand, improve, and sustain their visibility across AI-driven discovery environments.
Commenting on the release, Mustafa Kassim, Founder and CEO of Roar Global, said, “This report reflects the kind of market intelligence Roar Global aims to create. As a venture builder operating across platforms, AI infrastructure and enterprise solutions, we are looking at a bigger question: how do brands get discovered when discovery is no longer limited to search engines, social platforms or paid media? BrandRadar sits within that wider strategic bet. AI is not just another marketing or content tool; it is becoming a layer around which businesses will need to build visibility, trust and growth.”
Among the report’s key findings, Toyota and BYD demonstrated near-perfect consistency across all three AI platforms, recording scores above 89 every month with less than three points of variance.
The study also identified significant differences in brand visibility between AI platforms. Ceylinco General Insurance, for example, recorded a score of 89.75 on Google Gemini but only 12.5 on Perplexity during the same month, highlighting how a brand can achieve strong visibility on one AI system while remaining comparatively invisible on another.
According to the report, editorial authority and third-party citations emerged as some of the strongest predictors of AI visibility across all industries analysed. The findings highlight the increasing importance of credible public information, structured content strategies, and sustained digital authority as brands adapt to an AI-driven discovery landscape.
Acendae Rebrands and Expands Sri Lankan AI Engineering Operations to Drive European Market Growth
