Offering
A clear roadmap for companies that want to make the most of their data but don’t have the in-house know-how to get started
Helping companies set up solid data warehousing foundations so you can store, organize, and access their data easily — without needing a full tech team in-house
Build easy-to-use dashboards that turn your data into clear, actionable insights — facilitating smart decisions without digging through spreadsheets
We sit on your side to assess analytics products and help the company choose the right fit — guaranteeing a solution that truly fits your needs
We team up with internal teams to build tailored analytics solutions that solve your unique business challenges.
Tailored for companies working on projects or developing solutions with data science components;. We provide high-quality insights without the overhead of managing an internal team
Ideal for companies with lead-level data science resources; our team deliver projects cost-effectively while minimizing risks associated with recruitment and training
Our flagship product leverages advanced algorithms and real-time data to streamline delivery operations, reducing travel time and fuel costs while enhancing efficiency
Our Clients
What Our clients say
Our team
chamara
Chamara Gomes is an experienced business consultant and strategist specializing in business development, advisory, and financial analysis. He advises large organizations in Sri Lanka like DFCC Bank and MAS, focusing on digital transformation and efficiency. Previously a Manager at PwC, he advised over 40 companies across multiple industries such as Hospitality, Manufacturing, Construction, Finance and Technology; and was recognized for his work in M&A and valuations. He has also worked closely with UNDP and USAID on commercialization strategies and fund management. Chamara holds degrees in Applied Sciences (Math, Stat, Econ) from the University of Jayawardanapura and in Economics and Finance from the University of London.
nuzhi
Nuzhi Meyen is an experienced Data Scientist specializing in Data Engineering, Deep Learning, and Generative AI. He has a proven track record of developing predictive analytics and Deep Learning models across multiple sectors such as Retail, Financial Services, Hospitality, and Telco. Nuzhi has designed robust data solutions using Python, C#, R, SQL, Hadoop, Apache Spark, and Azure ML Studio. He has also overseen projects on Large-scale data architectures supporting enterprise analytics, and applying GenAI to automate and optimize complex business processes. He holds a BSc in Statistics and an MSc in Data Science and Engineering. Nuzhi also contributes to the data science community as a researcher and a lecturer.
Rajith
Rajith Munasinghe is a seasoned professional with nearly 20 years of experience in consultancy, finance, and data science. As Co-Founder of Linear Squared, a pioneering data science company in Sri Lanka, he led the development of its core machine learning engine and played a key role in its successful acquisition by Algonomy. Rajith also established and headed Linear Squared’s pre-sales function. Post-acquisition, Rajith served as Country Head of Algonomy Lanka, overseeing operations and managing a team of over 20 data scientists and engineers. He holds a Bachelor’s degree in Statistics from the University of Colombo, a Master’s from Imperial College London, and is an ACMA.
