Responsibly Enabling GenAI for Enterprises
through LLMs & APIs
Forbes: How AI will Disrupt the Health Insurance Industry
Watch Bill Fandrich, EVP of Technology and Operations, speak at the MIT "Forging the Future of Business with AI" Summit about the ways the healthcare industry is working to leverage AI in its day-to-day operations.
GAI Insights Webinar: How QS Contracts saved BCBSM $10M
Listen to Rizwan Mallal, COO of Quantum Gears, discuss how our QS Contracts identifies overlapping capabilities between contracts and employs "LLM as a judge" for cost avoidance and cost reduction.
Harvard Business Review: AI at BCBS Michigan
Read this case study on Blue Cross Blue Shield Michigan's journey to become one of the most efficient and innovative users of technology through intelligent GenAI deployments secured by QS SecureGPT
GAI Insights – Charting a Course for Sovereign AI
In the 21st century, a nation’s power, prosperity, and security will be nextricably linked to its capacity in artificial intelligence. AI is not merely another technological leap; it is a foundational layer for nearly all future economic activity, governance, and defense. Projections suggest that AI could add over $15.7 trillion to the global economy by 2030 (PwC, 2017), making it the greatest value-creation engine in modern history.
Just as nations once fought to secure sovereignty over food, energy, and defense, they must now establish Sovereign AI — the capability to develop, deploy, and govern AI according to their own interests, values, and strategic objectives, without critical dependence on foreign powers.
Yet total sovereignty is an illusion. No country — not even the U.S. or China — can fully control the entire AI supply chain from raw materials through deployment. This recognition leads to an essential distinction that grounds this paper.
Gartner® Hype Cycle™ for U.S. Healthcare Payers, 2025:
Highlighting Agentic AI, Autonomous agents and much more.
For the second year in a row, we have been mentioned as a Sample Vendor in two categories: Large Language Models for Healthcare Payers and Consumer-Centric Health Products. According to the 2025 Report “The swift evolution of generative AI, fueled by significant investment and widespread hype, has created a tumultuous and challenging landscape. U.S. healthcare payer CIOs can use this Hype Cycle™ as a strategic guide to identify and capitalize on key innovations as they execute their AI initiatives.”
GAI Insights Learning Lab: Enabling Safe AI at the Enterprise Level at Scale
Rizwan Mallal, COO of Quantum Gears, discusses enabling safe AI at the enterprise level. The discussion focuses on strategies to mitigate novel GenAI risks, implement secure LLMs, and balance innovation with compliance. Learn how LLM gateways that implement guardrails, advanced RAG techniques and more are transforming organizations from healthcare to finance, ensuring robust and safe AI deployment.
Enterprise-class Gateway
Proven deployments of our LLM gateway handle the heaviest enterprise workloads at scale
Pioneering LLM Security
Robust data privacy, ethical LLM usage, and transparency through HITRUST r2 Certification
Multi-LLM Integration
Enhanced capabilities to discover, extract, and correlate content across private and public LLMs
QS SecureGPT
Mitigates the OWASP
Top 10 for LLM
Defend against prompt injection, Denial of Service attacks, data leakage, and more.
Stakeholders
& Data
QuantumSim™ allows input from all stakeholders—procurement, legal, business, and IT teams—and ingests all enterprise data
