Unify Your Enterprise Intelligence with KaGen
About KaGen
- Founded in 2024 by AI engineers & enterprise architects
- Observed stalled AI pilots → built agentic OS
- AWS Technology Partner / Gartner 2025 Cool AI Vendors
Solutions
Explore how KaGen drives tangible results across industries. Each case study highlights a real-world challenge, our agentic solution, and the metrics that matter- from cost saving to productivity gains
How It Works
See how KaGen’s multi-agent architecture transforms raw data into intelligent action.
From Data to Decision: The KaGen Workflow
From data ingestion to decision: KaGen’s agents work in concert. Integration Agents bring in data, Processing Agents refine it, Ontology Agents contextualize it, and Application Agents act – all under the watchful governance of the Super Layer.
Enterprise-Ready by Design
Security & Governance Built-In
Role-based access and audit logs ensure enterprise compliance.
Scalable Orchestration
Seamlessly manage and scale thousands of agents across workloads.
Interoperability
Connects easily with your existing data, APIs, and AI tools
Observability & Monitoring
Real-time dashboards and alerts for full visibility into agent performance.
Multi-Cloud Deployment
Run anywhere-AWS, Azure, or on-prem-without reconfiguration.
Unlike patchwork AI tools, KaGen delivers a unified operating system for enterprise AI.
KaGen’s Technology Pillars





Why KaGen?
Certifications
KaGen.ai is committed to the highest standards of security, privacy, and quality. Our platform and processes are undergoing rigorous certification to give you peace of mind.


KaGen AI Research Accepted at IEEE CASCON 2025
KaGen’s paper on a reinforcement learning nutrition agent has been accepted at IEEE CASCON 2025, spotlighting our innovation in AI for healthcare. Co-authored by our Chief AI Officer, the study introduces Diextra, an AI coach that analyzes meal photos and adapts dietary advice using reinforcement learning. In early trials, Diextra achieved over 90% nutrient estimation accuracy, underscoring KaGen’s agentic approach to improving diabetes management.

Chief AI Officer on “Building Lasting AI” for CxOs
At a recent keynote for Canadian CIOs and CEOs, Dr. Kanav Kahol, KaGen’s Chief AI Officer, shared strategies for sustainable AI adoption. His talk on “Building Lasting AI” emphasized moving beyond pilots to scalable, compliant, and continuously learning systems. Drawing from KaGen’s success stories, he showcased how our agentic operating system model enables enterprises to achieve long-term AI transformation.

KaGen.ai Appoints Dr. Kanav Kahol as Chief AI Officer
We’re thrilled to welcome Dr. Kanav Kahol as KaGen.ai’s new Chief AI Officer. With 15+ years of experience in healthcare and enterprise AI, Dr. Kahol will lead KaGen’s R&D and product strategy, advancing our vision of an agentic operating system for enterprises. “Kanav’s hands-on expertise in building AI platforms will help our clients unlock the full potential of agentic AI,” said the CEO.

AI Breakthrough Transforms Diabetes Care with Smart Nutrition Coaching
At CASCON 2025, researchers unveiled a pioneering project, Reinforcement Learning-Driven Nutrition Coaching that merges computer vision and reinforcement learning to personalize diabetes self-management. Developed by Dr. Priyamvada Tripathi, Dr. Nikhil Gupta, and Dr. Kanav Kahol, the system adapts meal recommendations in real time using user feedback and health data, outperforming traditional rule-based plans. Powered by TensorFlow, FastAPI, and AWS, this adaptive AI coach boosts engagement and glycemic control, marking a major step toward intelligent, precision-driven nutrition and chronic care.


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