Hybrid RL-GNN for Query Optimization
A deep dive into how reinforcement learning and graph neural networks combine to optimize query planning in complex databases.
Read brief →gyyanX partners with enterprises and tech startups to design, build and scale production-grade AI systems—combining Generative AI, machine learning and hybrid RL-GNN architectures to deliver measurable business impact.
We help organizations move beyond experimentation and into production with AI—aligning strategy, architecture and teams to ship real-world systems that endure.
gyyanX is an AI solutions and consulting company focused on designing and deploying real-world AI systems. From GenAI-powered copilots to RL-GNN-based query optimization, we work across the full lifecycle— strategy, architecture, engineering, training and continuous improvement.
Our approach blends research depth with enterprise pragmatism. We align AI initiatives with business outcomes, data realities and operational constraints, ensuring your investments translate into measurable value.
Mission: Empower enterprises to responsibly adopt AI systems that drive sustainable business value.
Vision: Become a leading AI transformation partner in Asia for data-intensive organizations and high-growth tech companies.
We cover the complete AI lifecycle: strategy, solution design, implementation, MLOps and team enablement, with a core specialization in performance-critical systems.
Identify high-impact use cases, assess AI readiness and define a realistic, phased roadmap. We align stakeholders across business, data, and IT to prioritize what matters.
Build GenAI, ML and decision-support systems tailored to your stack—chatbots, copilots, recommendation engines, anomaly detection and more.
Use RL and GNNs to learn optimal query plans and resource allocation in complex, data-heavy environments—improving latency and cost at scale.
Design pipelines, observability and governance for AI in production: monitoring data drift, model performance, compliance and SLAs.
Upskill teams with hands-on programs in ML, GenAI and AI engineering, tailored to your stack and real projects.
We work with enterprises and high-growth tech companies where performance, scale and reliability truly matter.
Risk scoring, fraud detection, anomaly monitoring and intelligent routing for transaction-heavy platforms.
Query optimization, recommendation engines, in-app copilots and smart analytics for multi-tenant architectures.
Predictive maintenance, quality inspection and real-time anomaly detection across machines and production lines.
Personalization, demand forecasting and GenAI-powered support to improve customer experience and operations.
Decision-support, triage routing, document understanding and workflow automation for clinical and admin teams.
Knowledge management, document intelligence and analytical copilots with strong governance and security.
Our structured learning paths cover fundamentals to advanced architecture, aligned to your stack and use-cases.
gyyanX training programs are designed for engineers, data scientists, architects and business teams who need practical skills—not just theory. Each track combines instructor-led sessions, project labs and guided implementation sprints.
Programs can be delivered on-site, remote or hybrid, and tailored to your environment (cloud provider, data stack, regulatory context).
Modern ML, GenAI basics, foundation models and responsible AI principles for mixed stakeholder groups.
Supervised / unsupervised learning, feature pipelines, evaluation and deployment best practices.
Prompting, RAG, orchestration, evaluation and safety for LLM-powered applications.
Hybrid RL-GNN architectures applied to query planning, resource allocation and recommendation problems.
Use gyyanX insights to guide your AI decisions—from architecture choices to adoption playbooks.
A deep dive into how reinforcement learning and graph neural networks combine to optimize query planning in complex databases.
Read brief →A practical framework to move from pilots to scalable AI systems with governance, monitoring and ownership.
Get the playbook →Learn how to architect, evaluate and safely deploy GenAI copilots integrated with your core systems.
View upcoming sessions →Share a few details and we’ll schedule a discovery call to understand your context and outline potential AI initiatives.