We Work In
Niche Technologies

Creating diverse solutions and products in 8+ years, we have gained mastery of a broad spectrum of niche technologies. Our technocrats excel in harnessing the power of these technologies to develop innovative solutions and products.

Tools & Technologies

We leverage industry-standard tools and languages to build and validate reliable, high-performance solutions.

Niche Technologies

Windbg
Windows Driver Verifier
WHQL
GDB
Visual Studio
C
C#
C++

AI/ML Technologies

Python
BERT
Neural Network
Regression
Mistral
LLaMA
GANs
(Generative Adversarial Networks)
GPT
(Generative Pretrained Transformer)

Kernel & Driver Development

Kernel being the core of the operating system with complete control over everything in the system, developing any kernel module is considered as the most critical task. Careless development of kernel module can cause severe problems in the operating system leading to uncatchable bugs and system performance issues. Kernel development requires an experienced team who possess in-depth knowledge of operating system internals.

With the team’s combined experience of more than a decade in kernel & driver development, we have delivered many kernel mode modules across Windows, Linux and MacOS including:

File system filter drivers.

Network filter drivers

Virtual miniport drivers

System extensions for process, file, and device monitoring

Custom Device Drivers

Kernel & Driver
Development
Framework

Windows Driver Model
Kernel Mode Driver Framework
User Mode Driver Framework
Minifilter File System Drivers
Windows Filtering Platform
System Extension

AI-ML
Development

Our expertise in Neural Networks and Data Engineering has enabled us to deliver cutting-edge solutions in the Cybersecurity domain, such as Real-Time Static Analysis for Malware Detection—achieving 99% accuracy with minimal false positives. Natural Language Processing (NLP) techniques such as vectorization and tokenization are effectively applied to detect malicious or phishing URLs.

Beyond Cybersecurity, we have also developed advanced solutions like Voice Assistants and AI Bots using NLP. Leveraging the latest advancements in Large Language Models (LLMs), we've successfully implemented data classification based on industry-specific categories. Transformer-based models like Mistral and LLaMA have been fine-tuned to meet custom requirements.

By combining LLMs with traditional ML/AI models, we’ve enhanced performance while also reducing hardware dependencies on the endpoint agents.

AI-ML Frameworks

TensorFlow

Deep learning framework by Google

Transformers by Hugging Face

Library for transformer models like BERT, GPT, etc.

Hadoop

Big data processing framework

SpaCy

NLP library in Python

Flask

Lightweight web framework in Python

Streamlit

Python framework for building data apps

LightGBM

Gradient boosting framework for ML

OpenCV

Library for computer vision