Building AI Systems That Solve Real-World Problems
Artificial intelligence becomes valuable when it moves beyond experimentation and addresses a meaningful problem. A practical look at how we approach AI-driven systems at Cognolynx.
Perspectives on technology, product engineering, artificial intelligence and the ideas behind the systems we build.
Artificial intelligence becomes valuable when it moves beyond experimentation and addresses a meaningful problem. A practical look at how we approach AI-driven systems at Cognolynx.
How voice interaction can reduce typing and language barriers in everyday business applications, with a focus on Tamil-first user experience.
A practical framework for turning a business requirement into an architecture that can evolve as the product and organization grow.
A look at the product thinking behind hotel discovery, room selection, guest information, booking workflows and operational systems.
Choosing a technology stack should begin with understanding the problem, not with selecting the newest framework.
How text, image and video information can be combined to build a richer understanding of complex content.
Good interfaces are not only visually polished. They reduce friction, clarify decisions and make the next action obvious.
A modern business website should support discovery, credibility, communication and conversion rather than simply displaying information.
Keyword matching can miss context. Semantic similarity provides another way to understand the relationship between a resume and a job description.
More technical insights, project stories and ideas from Cognolynx are on the way.