AI Technology Abstract

The Future of Responsible AI: Introducing MyLCMA

AI Architecture Products Research
January 17, 2026
Ms. Prinali Tanti

Smarter models. Stronger outcomes. Innovation without compromise. The next standard in AI architecture.

About LCMA — Our Core Architecture

At the heart of Accukhoj Technologies is LCMA, Learning-Constrained Model Architecture designed not just to generate outputs, but to reason, validate, and serve with trust. This architecture overcomes the key challenges of current AI adoption by emphasizing:

“Accuracy without reasoning is coincidence. LCMA is built for decisions that must hold up under scrutiny.”

Our Approach: Learning-Constrained Model Architecture

This is where MyLCMA comes in. Our Learning-Constrained Model Architecture represents a paradigm shift from traditional deep learning approaches. Instead of treating accuracy as the sole metric of success, we've designed an architecture that overcomes the key challenges of current AI adoption by emphasizing on:

1. Reliability and Trust

Built to ensure factual accuracy and consistent transparency.

2. Explainable Decision Paths

Every output is traceable, auditable, and understandable; not a mysterious black box.

3. Domain Sensitivity

Custom governance modules allow the system to operate safely in high-stakes fields like healthcare, finance, defence, and law.

4. High Precision

Through logic-based tokenization and intelligent tagging, it ensures higher accuracy and fewer irrelevant results.

5. Smart Feedback

Dynamic feedback loops help the system learn and refine itself over time, reducing repetition and improving performance.

Core Capabilities

Currently we at Accukhoj Technologies are working on:

  • Learning Constrained Model Architecture
  • Cognitive Decision Systems
  • Process Automation
  • Data Intelligence