GPM

A new chapter in AI

High Efficiency, Limitless Intelligence at low power

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Our Vision

Shaping the future of artificial intelligence

Quantum-GPM (QPM)

QPM models thought as probabilistic superpositions of meaning that collapse into decisions.

Our vision is to achieve Artificial General Intelligence (AGI) with just 1 trillion Quantum-GPM (QPM) parameters, leveraging a proven 1,000× efficiency breakthrough in GPM technology. By delivering intelligence equivalent to traditional models requiring 1 quadrillion parameters, GPM redefines AI scalability, enabling dramatically lower costs, enhanced privacy, robust security, and setting a new standard for efficient, high-performance intelligence.

About Dimensionality

Redefining artificial intelligence

Dimensionality Private Limited develops next-generation AI powered by its proprietary GPM architecture, enabling a new scaling regime beyond traditional LLMs and GANs. GPM delivers over 1,000× system-level efficiency gains, including up to 12,500% faster training, 5,600% higher processing speed, and 300% improvements in GPU and memory efficiency. Prototype validation confirms real-world performance with rapid training, high accuracy, and extremely low energy consumption.

Comparison

Performance metrics and benchmarks

Aspect LLMs GPM
(tokens) 		Advantage GANs GPM
(pixels) 		Advantage
Data Efficiency 0 0 0 0 0 0
Training Time 0 0 0 0 0 0
Memory Efficiency 0 0 0 0 0 0
GPU Efficiency 0 0 0 0 0 0
Speed 0 0 0 0 0 0
Accuracy 0 0 0 0 0 0

Model Performance at 30% GPM Training

GPM achieves peak performance with ~30% data; LLMs & GANs typically need ~80%+

Key Features

Cutting-edge capabilities

Advanced Neural Networks

1,000× System-Level Efficiency

Dimensionality’s GPM architecture establishes a new efficiency frontier, achieving over 1,000× system-level efficiency gains compared to traditional LLMs and GANs.

This includes up to 126× faster training and 57× higher processing speed, with 4× improvements in GPU and memory efficiency, unlocking dramatically higher performance on the same hardware.

Scalable Infrastructure

Radical Cost & Energy Reduction

At this efficiency level, GPM systems enable up to ~100× lower energy consumption compared to conventional large-scale models.

These gains translate into ~10×–100× lower infrastructure costs, allowing enterprises to deploy frontier-grade intelligence with far less compute, power, and operational overhead.

Real-time Processing

Architectural Path to AGI

A future model with ~1 trillion GPM parameters would be architecturally equivalent to ~1 quadrillion parameters in a conventional LLM, reflecting a 1,000× parameter efficiency advantage.

This architectural leverage establishes a realistic path toward AGI-scale intelligence without exponential growth in compute or hardware, making ultra-large-scale intelligence tractable and sustainable.

Our Team

Meet the leadership

Shritej Prashant Kalekar

Founder, CEO and President

Sohum Nitin Nikam

Co-Founder and CTO

Mrudul Vasant Naik

Financial Advisor to the Board

Chinmayee Sandeep Barve

Co-Founder, COO and CIPO