A techmonk with Gen AI
I'm a Product Leader in enterprise Generative AI. An IIT Bombay alumnus, I work at the intersection of product strategy, AI innovation, and enterprise delivery.
I co-founded Selekt.in, delivering ML and deep-learning solutions to enterprises and government organizations across APAC and the Middle East, scaling it to a 40-person team. I later productized those capabilities as ChatGen.ai, a conversational AI SaaS used by 300+ SMEs.
Across 40+ global enterprises, I've guided organizations end-to-end, from strategy and architecture through deployment and optimization, operationalizing AI to deliver real ROI.
Currently, I lead AI Applications and Search at eGain, partnering with a team of PMs and engineers to drive production adoption of AI across Fortune 500 enterprises in the US and Europe. The thesis I evangelize: knowledge is the harness for AI applications. Durable, governed enterprise knowledge turns AI from demos into dependable, adopted systems in production.
Prasanth Sai
Gen AI Product Leader
Enterprise AI Solutions
Delivering cutting-edge Generative AI products that drive real business value
Enterprise Search
AI-powered semantic search solutions that understand context and intent, delivering precise results from vast data repositories across your organization.
AI Agent Applications
Intelligent conversational agents for both customer-facing and employee-facing use cases, automating workflows and enhancing user experiences at scale.
Deep Learning Solutions
Custom deep learning models and neural networks tailored for your specific business challenges in the Gen AI landscape, from NLP to computer vision.
Product Leadership in AI
Strategic Vision
Defining product roadmaps and go-to-market strategies for Gen AI products that align with business objectives and market opportunities.
Innovation Leadership
Driving innovation through emerging Gen AI technologies, from large language models to multimodal AI systems and autonomous agents.
Cross-Functional Leadership
Building and leading diverse teams of engineers, data scientists, and designers to deliver enterprise-scale AI solutions.
Business Impact
Measuring success through KPIs and delivering measurable ROI from AI implementations across enterprise organizations.