Chi SquareX Technologies

Your DeepTech Catalyst For Innovation

About Us

Chi SquareX Technologies is a leading DeepTech startup in India, specializing in providing cutting-edge research assistance solutions in the domains of Machine Learning, AI, Deep Learning, Computer Vision, and Natural Language Processing. Our services cater to a wide range of clients, including individual researchers, small-scale startups, and established corporations seeking professional assistance with their research projects. We take pride in our ability to consistently deliver high-quality research assistance, with a proven track record of completing 250+ research projects and satisfying over 100 happy clients. Our team of highly skilled developers comprises graduates from the top IITs, NITs, and other prestigious institutions, who bring to the table a wealth of knowledge and experience. At Chi SquareX Technologies, we are passionate about pushing the boundaries of research in AI and related fields. Our commitment to innovation is reflected in the multiple publications we have authored and the independent research we have conducted. We believe that innovation is key to addressing critical challenges in various sectors, and our solutions are designed to have a meaningful impact on society. Our services are aimed at providing customized and cost-effective research assistance solutions to our clients. We work closely with our clients to understand their unique needs and requirements, and then tailor our solutions to match their specific research goals. Our services include data analysis, model development, algorithm design, and optimization, among others. We take pride in our ability to provide personalized research assistance solutions that are efficient, effective, and impactful. Our goal is to help our clients achieve their research objectives and drive meaningful innovation in their respective fields. To learn more about our services, please visit our official website. Chi SquareX Technologies.

Services

Machine Learning Models

We provide comprehensive machine learning model implementation services to help businesses leverage the power of AI. Our services cover the entire ML development cycle, including data preparation, model training, optimization, and deployment. We specialize in developing custom ML models tailored to our clients' specific needs, using popular frameworks like TensorFlow and PyTorch. Our team of experienced ML professionals ensures that the models we develop are accurate, efficient, and scalable.

Natural Language Processing

Our Natural Language Processing (NLP) services include sentiment analysis, explanation regeneration, sentence and word tagging, machine translation, and multi-lingual models. We specialize in static word embeddings and language models such as BERT, RoBERTa, and ELECTRA. Our services help businesses better understand and communicate with their customers, improve operational efficiency, and gain a competitive edge.

Computer Vision Models

We provide comprehensive computer vision services using PyTorch, TensorFlow, and OpenCV. Our services include image classification, image captioning, and video classification models. We ensure accuracy and efficiency by performing feature engineering and data preprocessing techniques like data augmentation, feature extraction, and normalization. Our computer vision services help businesses better understand and analyze visual data for informed decision-making.

Deployement services

Our computer vision models can be deployed using three methods, depending on the client's requirements. The first option is on-premises deployment, which involves installing and operating the model directly on the client's hardware or servers. This approach provides greater control and security over the model and data, but may require additional resources and technical expertise. The second option is cloud deployment, using services such as AWS, Azure, or Google Cloud. This method provides greater scalability, flexibility, and accessibility for the model and data, and eliminates the need for on-premises infrastructure. However, it may require ongoing maintenance and subscription costs.

ML/AI blog writing services

Our ML/AI blog writing services help businesses establish thought leadership in the field of AI and machine learning. We offer high-quality, informative blog content covering topics such as emerging industry trends, best practices for implementing AI, and the latest technological advancements. Our team of experienced writers and data scientists perform in-depth research and work closely with clients to ensure that each piece of content aligns with their brand and message. Contact us to learn more about how our ML/AI blog writing services can help your business succeed.

ML Consultancy services

At Chi SquareX Technologies, we provide ML consultancy services to help businesses navigate the complex field of machine learning and artificial intelligence. Our team of experienced data scientists and machine learning experts works closely with clients to understand their unique challenges and goals and provide customized solutions to meet their needs. Our ML consultancy services cover a wide range of topics, including data analysis and management, algorithm selection and development, model training and optimization, and deployment and monitoring. We also offer guidance on best practices for implementing machine learning in various industries, such as finance, healthcare, and manufacturing.

Providing solutions beyond Intelligence

Projects

  • All
  • Deep Learning
  • Computer Vision
  • Natural Language Processing

GAN Art Generator

Our research approach involved utilizing advanced generative modeling techniques, namely WGANs, CGANs, and DCGANs, which leverage the power of an improved Wasserstein metric within a comprehensive AC-GAN framework, resulting in superior performance.

-

BERT Finetuning for Medical Dataset

Our approach involved the implementation of pre-training and fine-tuning techniques on BERT, RoBERTa, and GPT2 models, obtained from the HuggingFace library, to achieve precise classification of medical datasets, yielding promising results.

-

Interactive Deep Colorization

Our implementation involved using research papers to enable real-time user-guided image colorization on a custom dataset. This was accomplished using learned deep priors, which were trained to produce accurate and efficient colorization results.

-

Recommender System

State-of-the-art deep learning models, including RNN, CNN, and LSTM, were employed to create various recommendation systems. The performance of these models was evaluated to ensure that the recommendations made were accurate and effective.

-

Feature Extraction and Gem Incorporation

In our research paper, we utilized features extracted from CLIP to differentiate between in-distribution and out-of-distribution classes of the CIFAR dataset. This was achieved by analyzing the features and making a determination based on the results.

-

Protein Sequence Prediction

We adopted a rigorous approach to model validation, utilizing a statistical conformal prediction framework to assess the fitness of protein sequences for the generated hidden Markov models. This ensured high levels of accuracy, predictability and reliability, allowing us to achieve optimal results in our study.

-

Object Detection

To detect number plates on cars and determine whether drivers were wearing seatbelts, we made use of the YOLO v5 model. To keep track of the count of vehicles, number plates, and seatbelt statuses, we implemented an SQL database. By utilizing these technologies, we were able to successfully monitor and record the necessary information.

-

Bank Nifty Analysis

Our approach involved the use of Multimodal techniques for predicting Nifty Sentiments. We leveraged a Contextual Bidirectional Long Short-Term Memory (BiLSTM) model and Regressors such as XGBoost and RandomForest for price prediction. We then combined these models using an ensemble approach to optimize performance.

-

Lung Image Segmentation

Autoencoders were utilized to extract features from a Covid-19 dataset, which were then combined with a Graph Convolutional Network and a VGG19-inspired architecture for multiclass classification of a set of images. The combination of these techniques provides a promising approach for medical image analysis in the context of Covid-19.

-

What we have achieved so far

200

Happy Clients

300

Projects

5000

Hours Of Support

45

Hard Workers

Frequently Asked Questions

If you have any more questions please feel free to email us.

  • All our members are from the Indian Institute of Technology, one of the most premier Engineering Institutes in India so you can expect quality work. We provide services in the domain of Machine Learning, AI, Deep Learning, Natural Language Processing.

  • The fees charged depend on the nature and deadlines of the respective project. We provide free appraisals and estimates of the fees charged on the website, in the pricing section.

  • We work on a variety of sub-domains in AI/ML, including but not limited to Natural Language Processing, Computer Vision, Reinforcement Learning, Generative Models, etc. We work on independent projects as well as research projects. Full details of the projects we have done can be found in the projects section of this website.

 

Contact

Location:

Bengaluru, Karnataka

Loading
Your message has been sent. Thank you!