Mission

"Our mission is to harness the power of cutting-edge technology to drive innovation and empower businesses. Through our expertise in artificial intelligence, machine learning, and web development, Cloud Services we strive to create tailored solutions that revolutionize industries, enhance user experiences, and fuel sustainable growth. We are committed to delivering exceptional value to our clients by leveraging the latest advancements in technology, fostering a culture of continuous learning and innovation, and building long-term partnerships based on trust and excellence."

Philosophy

Innovation: We are committed to pushing the boundaries of what's possible through continuous innovation and exploration of emerging technologies.

Integrity: We uphold the highest standards of integrity, honesty, and transparency in everything we do.

Impact: We are driven by a sense of purpose and a desire to make a meaningful impact on the world around us. Whether it's helping businesses optimize their operations, enabling breakthroughs in AI research, or contributing to social causes, we strive to create positive change that lasts.

Our Products and Services

...

Web and App Development

...

Data Science & Machine Learning Services

...

Cloud Transformation

...

Packaging Design Solutions

Key Achievements

  • 30+ Successfully Delivered Projects. (Both Govt. and Private Sector)
  • 20+ research projects, collaborations with Govt. and Private academic institutions
  • 72+ Satisfied Client with repeat business.
  • Proud Official Sponsor of iRAD-2024, hosted by IIT Indore

Our Capabilities

Data Engineering
  • Data pipelines
  • Cloud Data lake
  • Cloud data migrations
  • ETL Services
  • Data governance
  • Devops
AI/ML and Data Science
  • Machine learning
  • Predictive analytics
  • Statistical modelling
  • Optimization
  • Generative AI
  • Computer vision
  • NLP
  • Deep learning

Automation and Consumption
  • Model deployments
  • Scaling AI/ML solution
  • APIs
  • Dashboards and visualization
  • Web app development

  • Business insights
  • Selenium etc.

Technologies Experience

Plateform

Azure, AWS, Google Cloud

Storage

AWS S3, Azure Blob storage, GCP cloud storage, delta Lake, SQL, MongoDB etc

Visualization

D3, tableau, PowerBI, Python Packages like Plotly etc.

Compute

AWS EC2, lambda, Azure functions, VM, ADF, Databricks, GCP VM, dataflow, etc

Devops

GitHub, Azure DevOps, bitbucket, Docker, Kubernetes, etc.

Key Project Domains We Served

Insurance

An insurance company wants to automate its claims processing system to improve efficiency and reduce manual effort. They receive a large volume of insurance claims daily, and the process of manually reviewing and processing these claims is time-consuming and error-prone

  • Problem:- Processing Insurance claim requests is a time-consuming and work, resource-intensive task that consumes a lot of money and time. 
  • Impact:- Impact: We made an application that helps to automate the claiming process and reduce time by 60% and significantly cheaper than the traditional one.
  • Technology Used
  • NLP Libraries: NLTK, spaCy, Hugging Face Transformers
  • ML Libraries: scikit-learn, TensorFlow, PyTorch
  • Web Frameworks: Flask,FastApi (for building the backend)
  • Containerization: Docker
  • Cloud Services: AWS, Azure
  • Microservice Architecture
  • Kubernetes

Healthcare

  • A healthcare provider organization aims to streamline the prior authorization process, which is currently manual, and time-consuming. They want to automate the evaluation of whether a medical procedure or medication requires prior authorization from insurance providers.

  • Problem:In the present US healthcare system Prior Authorization is required before diagnosis for any person who has insurance. So any person who requires to diagnose immediately needs to go through the process in some cases it is not possible due to urgent medical care needed

  • Impact: We made an application which helps to automate this process and reduce time by 90% and a lot significantly cheaper than the traditional one.

  • Technology Used
    • NLP Libraries: NLTK, spaCy, Hugging Face Transformers
    • ML Libraries: scikit-learn, TensorFlow, PyTorch
    • Web Frameworks: Flask,FastApi (for building the backend)
    • Containerization and orchestration : Docker, K8s
    • Cloud Services: AWS, Azure
    • Microservice Architecture
    • Tesseract

Gen AI

  • E-Learning Companion is a next-generation educational app powered by Retrieval-Augmented Generation (RAG) technology. It revolutionizes the learning experience by providing personalized learning materials, interactive assessments, and immersive educational content curated to individual student needs and learning styles.

  • Impact: Enhanced Learning Experience
  • Improved Student Performance,
  • Increased Accessibility and Inclusivity
  • Efficient Resource Utilization
  • Problem Solved:
  • Personalization Gap:
  • Engagement and Motivation:
  • Accessibility Challenges:
  • Resource Overload for Educators:
  • Technologies Used: LLM(Bert Based Transformers), LangChain, Hugging face, Sklearn, Pytorch, Vector databases.

Cyber Securities

  • Net Skope, a global technology company, doing work analysis on cyber threats and the utilization forecast. To address these challenges, the company decided to conduct a comprehensive cyber security analysis based on user data and threat analysis.
  • Impact: Two things are there they want to forecast of CPU and memory utilization and analysis about the spikes coming during machine use.
  • Python Libraries: Pandas, NumPy, and scikit-learn for data cleaning and preprocessing
  • Data Visualization Tools: Matplotlib, and Seaborn, for visualizing data distributions and patterns
  • Machine Learning Algorithms: Supervised and unsupervised learning algorithms for anomaly detection, such as Isolation Forest, and one-class SVM.

E - Commerce

  • Net Skope, a global technology company, doing work analysis on cyber threats and the utilization forecast. To address these challenges, the company decided to conduct a comprehensive cyber security analysis based on user data and threat analysis.

  • Problem Solved:

  • Personalized Recommendations: Traditional e-commerce websites often struggle to provide personalized recommendations
  • Information Overload: vast array of products, challenging for users to discover items that match their interests and needs amidst the abundance of choices.
  • User Engagement
  • Impact:

  • Enhanced User Experience:->The recommender system significantly improves the user experience by delivering personalized product recommendations based on individual browsing and purchasing behavior. Increased Sales & Revenue: By providing personalized recommendations, the system drives higher conversion rates,Improved Customer Retention