Research · Build · Deploy
Madusanka
Premaratne
Applied AI Researcher
Building AI systems grounded in research — privacy-preserving LLMs, semantic generalization, and on-device agentic architectures.
What I Build
Services grounded in active research — not packaged templates. Every engagement starts with understanding the real problem.
AI Privacy & Compliance Consulting
Design and implement query-time privacy frameworks for LLM applications — semantic generalization, data minimization, and GDPR-compliant AI pipelines without sacrificing utility.
AI Knowledge & Retrieval Systems
Build multi-agent retrieval-augmented generation systems for enterprise use — from architecture design through production deployment, including on-device and edge-first configurations.
AI Search & Text Intelligence Consulting
Apply semantic generalization, embedding strategies, and NLP pipelines to solve real classification, extraction, and search problems — grounded in current research, not off-the-shelf demos.
On-Device & Data-Sovereign AI Consulting
Move inference off the cloud — design on-device agentic systems that preserve data sovereignty, reduce latency, and achieve inherent compliance. No third-party data exposure.
AI Strategy Consulting
Define your AI research agenda, evaluate model capabilities, and translate academic findings into product strategy. Research collaborations, manuscript preparation, and AI readiness assessments.
Enterprise AI Integration
Integrate LLM inference pipelines and multi-agent systems into existing products — from API design and prompt engineering through evaluation, monitoring, and responsible deployment.
Sovereign & Enterprise Tech Stack
We leverage production-grade platforms and open-source models to build secure, private, and high-performance AI solutions.
Bridging the gap between Academic Research and Enterprise Application
I am a Founder, CEO, and applied AI researcher with over a decade in enterprise software. I lead the research agenda at Knivok, focusing on privacy-preserving LLMs, query-time semantic generalization, and on-device agentic architectures.
My work translates theoretical models into production-ready software systems for clients globally, backed by first-class academic credentials from the University of Jaffna and London Metropolitan University.
Applied AI Publications & Experiments
EdgeTal
Lead Researcher & Corresponding Author
On-device agentic RAG system for privacy-preserving talent discovery — full retrieval and inference pipeline at the edge, zero candidate data transmitted to the cloud. Manuscript in preparation for EICON 2026.
Gen Z Job Commitment Study
Principal Researcher
Quantitative study of 386 Gen Z employees across WSO2, IFS R&D, Knovik, and Prime One Global, testing four determinants of job commitment via SPSS correlation and chi-square analysis. Manuscript in preparation for AIRC 2026.
Book a Call
Pick the option that fits — a first conversation, a build to scope, or an organisation-wide AI readiness check.
Initial Consultation
A no-pressure first call to talk through your AI or product challenge and see if there’s a fit.
Book nowDevelopment Services
Scope a build with the Knovik engineering team — LLM systems, agentic RAG, edge AI, and integrations.
Book nowAI Readiness Assessment
A structured assessment of where your organisation stands on AI adoption, and what to do next.
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