ADVANCED SEMICONDUCTOR SOLUTIONS

Engineering the FutureQuantum · VLSI · AI on Edge

Engineering the future through semiconductor innovation, intelligent edge computing, and quantum technologies. We bridge deep research and real-world applications to create solutions that are scalable, secure, and transformative.

3

Core Domains

Innovation

Q+

Quantum Ready

AI

Edge Deployed

What We Do

Bridging Quantum,
Silicon & Intelligence

Quantrins Semiconductors is a next-generation technology startup at the convergence of three powerful frontiers — Quantum Systems, VLSI Design, and AI-driven Edge Solutions.

We architect hardware-software pipelines that bring intelligent algorithms from research to real-time deployment on silicon — designing the next layer of the compute stack, one gate at a time.

Our mission: democratize deep-tech by building tools, systems, and talent that accelerate the transition from algorithm → hardware → real-world impact.

⚛ Quantum Technologies

Quantum semiconductor research, quantum algorithms & sensing systems for future-ready computing.

🔲 VLSI Design

Full-stack silicon design from RTL → Physical Design. Verilog, UVM, DFT, Analog — end to end.

⚛ Quantum Technologies

CNN, YOLO, and transformer models optimized and deployed on FPGA & NVIDIA Jetson platforms.

What We Do

Our Services

From quantum semiconductor research to edge AI deployment — we offer end-to-end technical services across three core technology pillars.

Quantum Technologies

Research and development in quantum semiconductor devices, quantum computing architectures, and next-generation quantum sensing systems.

Quantum Computing

Quantum Sensing

Qubits

Algorithm

RTL & Verification

Full-custom RTL design using Verilog/SystemVerilog, UVM-based verification environments, and comprehensive testbench development.

Verilog

System Verilog

UVM

Simulation

DFT & Physical Design

Design for Testability with scan insertion & ATPG, plus full physical design flow from floorplanning through sign-off.

DFT

ATPG

Floorplan

Routing

Analog Design

Mixed-signal circuit design for high-performance applications — ADCs, DACs, PLLs and custom analog blocks.

Mixed-Signal

ADC/DAC

SPICE

PLL

Deep Learning Models

Custom CNN, YOLO, and transformer architectures trained in PyTorch and TensorFlow for real-world computer vision tasks.

PyTorch

CNN

Tensor flow

YOLO

FPGA & Edge Deployment

Model optimization via quantization & pruning, followed by deployment on FPGA accelerators and NVIDIA Jetson for real-time inference.

FPGA

Jetson

Quantization

HLS

From Algorithm to Silicon

We take your AI model all the way from training to real-time hardware deployment.

01

AI Model

CNN / YOLO
PyTorch

02

Optimize

Quantization
Pruning

03

RTL Design

Verilog
HLS

04

FPGA / ASIC

Synthesis
P&R

05

Edge Deploy

Jetson
Real-time

Portfolio

Featured Projects

CNN Accelerator on FPGA Xilinx

A custom hardware accelerator for convolutional neural networks, implemented in Verilog on Xilinx FPGA with HLS optimization.

Active

Verilog

HLS

Xilinx

YOLO on Jetson Nano

Real-time object detection pipeline using YOLOv8 deployed on NVIDIA Jetson Nano — achieving 25+ FPS on  live video streams.

Active

YOLOv8

TensorRT

Jetson

Custom ASIC RTL Core

A RISC-V based custom RTL core with UVM verification environment and DFT  insertion   for test coverage optimization.

In Development

RISC-V

UVM

DFT

Internships & Careers

We’re building a team of deep-tech engineers. Apply for an internship and work on real
projects at the frontier of VLSI, quantum, and AI.

FPGA Design Intern

Work on FPGA accelerator projects — RTL coding, synthesis, timing closure. Hands-on with Xilinx tools.

// VLSI · Hardware

VLSI Verification Intern

Work on FPGA accelerator projects — RTL coding, synthesis, timing closure. Hands-on with Xilinx tools.

// VLSI · Hardware

AI Edge Systems Intern

Work on FPGA accelerator projects — RTL coding, synthesis, timing closure. Hands-on with Xilinx tools.

// VLSI · Hardware

Let's Build
Together

Whether you’re looking to start a VLSI project, deploy AI on edge hardware, or explore a collaboration — reach out. We’d love to hear from you.