About QUADFRAMEWORK
Building the future of AI-native software development.
The Company
QUADFRAMEWORK LLC
Registered in the United States of America
Founded by Gopi Suman Addanke
New Jersey, USA
What We Do
QUAD (Quick Unified Agentic Development) is a patent-protected methodology and platform for building AI-native applications. We provide the tools, agents, and memory infrastructure that turn ideas into production software.
Patent Portfolio
5 U.S. provisional patents filed • 9 U.S. drafted • 4 India drafted • 18 total innovations
United States — Filed
Compliance-Aware AI Code Generation with Runtime Self-Modification
Near-zero hallucination code generation through restricted context and compliance-aware codebase pattern scanning. Generates code that follows YOUR codebase patterns, not generic suggestions.
Dynamic Generation of Specialized AI Agents (Factory of Factories)
A meta-factory pattern that creates domain-specific agent factories on demand. One system generates specialized agents for any industry — healthcare, finance, government, education — without manual configuration.
Priority-Guided Code Evolution (PGCE) Algorithm
Self-healing code evolution loop that prioritizes changes by dependency weight, risk, and business impact. Test, fix, repeat until zero defects — with full audit trail of every decision.
AI-Agnostic Token Optimization System
Reduces token consumption by 80-95% through adaptive pause detection, importance scoring, intelligent memory management, and pluggable AI provider architecture. Works with ANY AI provider, ANY interface, ANY industry.
QUAD Framework Complete Technology Suite
15 integrated technologies working as a unified system — from AI routing and cloud-agnostic deployment to real-time monitoring and knowledge management. The first framework combining all 15 in a single, coordinated platform.
United States — Drafted, Filing Soon (9)
Featured patent from the next filing batch:
Neuromorphic Pixel Node Memory Fabric
A distributed graph memory system where each memory node contains its own computation — like a biological neuron. Nodes activate autonomously when a query arrives, propagate activation through typed relationship edges, and collectively produce context retrieval without a central processor. Includes sphere-hierarchical domain constraints (preventing work memory from leaking into personal) and a polymorphic shape control protocol that lets SUMA take the operational shape of any external system.
India — Drafted, Preparing to File (4)
Adaptive Weight-Based Context Depth Algorithm for AI Memory Systems
Dynamic graph-weighted memory retrieval that adjusts search depth based on relationship strength and context importance.
Hierarchical Traversal for Transparent Dual-Approach Workflow Management
Top-down and bottom-up workflow management across any hierarchical organization with AI-assisted task decomposition.
Neural Memory Graph with Biometric Identity and Contextual Intelligence
Voice-authenticated memory retrieval combining biometric identity with graph-based knowledge for personalized AI interactions.
Neural Fabric Pixel Node — Neuromorphic Memory Architecture
Neuromorphic memory retrieval algorithm that simulates synaptic firing patterns for adaptive context depth traversal.
All provisional patents filed as Small Entity • Inventor: Gopi Suman Addanke
Get in Touch
Founder
Gopi Suman Addanke
Founder & Inventor, QUADFRAMEWORK LLC
Building the agentic standard for AI-native software development. Architect of SUMA memory, QUAD agents, and the QUAD Vantage technology suite.
General Inquiries
Enterprise partnerships, government pilots, licensing, and press.
contact@quadframe.workQUADFRAMEWORK LLC • New Jersey, USA