Insysness

Welcome to the workstation of  Artificial Intelligence & Data Science

AI | Data Science | Robotics | Big Data

We are the AI Algorithm Experts

– We Create AI Models to each problem, From Machine Learning to Deep Learning our team is well equipped with AI Algorithm Development and Architecting.

Anything is Possible:

  • Supervised Learning Algorithms:
  • Unsupervised Learning Algorithms:
  • Reinforcement Learning Algorithms:
Let Numbers Talk
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Records Analyzed
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Years in Business
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Algorithms Founded
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Classes Trained in one AI

Computer Vision

Utilizing our robust in-house GPU infrastructure, we achieve enhanced image prediction rates. From annotations to image segmentation, our efficient toolset ensures rapid and precise results. Your ideal destination for crafting image prediction models.Object detection involves locating and identifying objects within an image or video stream. Popular techniques for object detection include Haar cascades, R-CNN, Faster R-CNN, YOLO (You Only Look Once), and SSD (Single Shot MultiBox Detector).

Tensorflow
Segmentation
CNN
GAN
U NET
RESNET
CNN Architectures

Convolutional Neural Networks (CNNs) have been a fundamental architecture in the field of artificial intelligence and deep learning, particularly for tasks related to computer vision. Over the years, various CNN architectures have been developed, each with its own unique design and characteristics.

CNN Architectures

Convolution: The core operation in CNNs is convolution, where a set of learnable filters is applied to input data to extract features. The convolution operation involves element-wise multiplication and summing of values in a small window (filter) over the input.Data augmentation involves applying random transformations .

Data Analysis

Data analysis is the process of inspecting, cleaning, transforming, and interpreting data to discover meaningful insights, patterns, and trends. It is a crucial step in the data-driven decision-making process, helping businesses and organizations make informed choices and solve complex problems.Data analysis can be performed using various tools and programming languages, such as Python, R, SQL, and specialized software like Excel, Tableau, or Power BI, depending on the complexity and requirements of the analysis. 

Diagnostic Analytics
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics

Data Insights Powered with AI Predictions

Unleash AI-powered data insights for proactive decisions. Our tailored AI ML predictions decode patterns, foresee trends, and optimize strategies, propelling your business into the future with agility and confidence.

Research & Developments

Computer Vision Advancements

Breakthroughs in computer vision, including image recognition, object detection, and image generation, have led to applications like self-driving cars, medical image analysis, and augmented reality.

Reinforcement Learning

Progress in reinforcement learning algorithms has enabled AI agents to achieve superhuman performance in complex tasks, such as playing games like Go and Dota 2.

Transfer Learning

Techniques like transfer learning have allowed pre-trained models to be fine-tuned for specific tasks, reducing the need for massive amounts of data and training time.

Generative Adversarial Networks (GANs)

GANs have led to stunning advancements in image and video synthesis, enabling the creation of realistic, high-quality content.

AI Ethics and Bias Mitigation

Research in AI ethics and fairness has gained importance, focusing on addressing bias, accountability, transparency, and responsible AI deployment.

Healthcare and Drug Discovery

AI has been employed to analyze medical images, predict disease outbreaks, and accelerate drug discovery processes.