Turning Fragmented Data Into Grounded Intelligence.
Our journey began with a simple belief: enterprise data should accelerate decisions, not bury them. We specialise in transforming fragmented, siloed data into clear, actionable intelligence.
Trust is earned through accuracy. Every output from our platform is grounded in your verified data, not guesswork, so teams can act on it with confidence instead of second guessing what the numbers actually mean.
Entity Intelligence Platform for Enterprises
From messy data to structured knowledge graphs, we help teams connect the dots across systems, so every decision is backed by context, not guesswork. Our platform turns records into a living map of your business.
The core reason traditional database systems are inherently reliable and verifiable is that structure comes before data. Modern Large Language Models, trained via self-supervised learning, possess no inherent structure—and even when structured data was present, the training process flattened it. This is one of the foundational reasons for the modern model context limitation and hallucination problem. LLMs are phenomenal reasoning engines, but they are incredibly poor database managers.
GiKA was founded by Dr. Manoj Agarwal to solve this crisis from first principles. Manoj's career has been shaped by architecting some of the largest, most sophisticated data intelligence networks in the world—as a Senior Staff Engineer at Uber AI, spearheading knowledge graph integration and semantic search for Uber Eats, and as a Principal Applied Scientist at Microsoft AI & Research, where he was the chief architect behind the web-scale Microsoft Product Knowledge Graph.
Combined with his early foundational work at IBM Research and a PhD focused on deep data mining, pattern recognition, and information retrieval, the technical blueprint for a more reliable, deterministic AI architecture was set.
Turning a paradigm-shifting idea into an enterprise-grade reality requires an exceptional collective. GiKA is built by a world-class team of engineers, scientists, and product builders who have spent their careers at the absolute frontier of technology and hyper-scale execution, drawing deep expertise from pioneering engineering organizations and leading educational institutions.
Having collectively engineered platforms that handle billions of facts, millions of transactions, and zero-tolerance infrastructure, we realized that enterprise AI required a structural paradigm shift if it has to be trustworthy and reliable at enterprise scale.
GiKA was born from this exact realization. Together, we've engineered the industry's leading high-dimensional Context Graph topology over heterogeneous, multi-layered enterprise data silos—in a massively distributed, scalable manner. With this breakthrough architecture in hand, context is no longer a limiting factor.
We didn't just wrap an API. We are a team that has spent decades mastering the data architecture required to make enterprise AI actually work. Today, our shared mission is to build the world's most reliable, deterministic context graph to solve the most complex, high-stakes enterprise problems on earth.
Our Team