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Clustor Computing

Specializing in platform-based digital transformation, supporting businesses to become connected, open, intelligent, and scalable.

Address

1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar, Nagpur, Maharashtra 440015

Email

hr@clustorcomputing.com

Phone

+91 (954)540-0369
+91 (986)055-5369

Data Science & Analytics

Today’s digital world generates massive amounts of data every second. At Clustor Computing, we help you process, analyze, and interpret this data to discover patterns, predict outcomes, and gain a competitive edge.

What is Data Science?

It is the process of extracting insights from structured & unstructured data using statistics, algorithms, and business logic. It's about building models that solve complex problems.

What is Data Analytics?

A subset of Data Science that focuses on answering specific business questions by inspecting and modeling existing data. It helps track performance and optimize operations.

Types of Data Analytics

Descriptive

What happened?

Diagnostic

Why did it happen?

Predictive

What will happen?

Prescriptive

What to do next?

Data Analytics Life Cycle

01 Data Collection:

Gathering data from APIs, DBs, and sensors.

02 Data Cleaning:

Removing missing values and duplicates.

03 Data Exploration:

Using EDA to understand data patterns.

04 Data Modeling:

Building ML models like Linear Regression.

05 Evaluation:

Testing for accuracy and reliability.

06 Deployment:

Final model release for real-world use.


Machine Learning

Machine Learning (ML) is a branch of Artificial Intelligence (AI) that allows computers to learn from data and improve their performance without being explicitly programmed...

The Future of Programming

Instead of fixed code, ML uses algorithms and statistical models to perform tasks by learning from data.

"The field of study that gives computers the ability to learn without being explicitly programmed."
— Arthur Samuel

Types of Machine Learning

Learning with Labels
Supervised Learning

The model is trained on labeled data where the answer is already known.


Use Case: Spam Detection, Price Prediction.
Finding Patterns
Unsupervised Learning

Works with unlabeled data to find hidden structures or clusters.


Use Case: Customer Segmentation, Anomaly Detection.
Trial & Error
Reinforcement Learning

Systems learn by interacting with an environment. Good actions get rewards.


Use Case: Robotics, Game Playing AI.

Artificial Intelligence

Artificial Intelligence (AI) is a branch of computer science that focuses on creating machines and software that can perform tasks which normally require human intelligence...

What is AI?

Artificial Intelligence is the ability of a computer or machine to think, learn, and act like a human. AI enables machines to sense, think, learn, and act intelligently.

Types of AI

  • Narrow AI: Specific tasks like Siri/Alexa.
  • General AI: Human-like intellectual tasks.
  • Super AI: Surpasses human intelligence.

Evolution of AI (Types)

Available Now
Narrow AI (ANI)

Specific tasks ke liye design kiya gaya AI.

Examples: Siri, Alexa, Face ID.

Theoretical
General AI (AGI)

Insaan jaisi buddhi jo kisi bhi intellectual task ko perform kar sake.

Status: Under Research

Hypothetical
Super AI (ASI)

Ye insani dimaag se kahin zyada smart hoga.

Status: Science Fiction


Blockchain Solutions

Secure, decentralized, and immutable ledger technologies designed to build trust and automate complex processes for the modern enterprise.

1. Data Entry
2. Encryption
3. Distribution
4. Validation

Architecture Types

Public Blockchain

Fully decentralized networks (e.g., Bitcoin, Ethereum) accessible to anyone worldwide.

Private Blockchain

Permissioned environments managed by one entity, ideal for internal enterprise audit.

Hybrid/Consortium

A balanced approach allowing controlled public access while keeping sensitive data private.

Core Capabilities

01
Distributed Ledger (DLT)

Synchronized digital data geographically spread across multiple sites, countries, or institutions.

02
Consensus Protocols

Advanced algorithms (PoS, PoH) ensuring all parties agree on the network state efficiently.

03
Smart Contracts

Self-executing contracts with the terms of the agreement directly written into code lines.

04
Immutable Security

Cryptographic hashing ensures that once data is entered, it cannot be altered or deleted.


AR & VR Solutions

Augmented Reality (AR) and Virtual Reality (VR) are immersive technologies that blend or replace the physical world with digital content. At Clustor Computing, we transform interactions across industries.

AI Integration

AI is crucial for powering intelligent avatars, real-time data analysis, and personalized experiences.

Advanced Hardware

Innovations include micro-OLED displays and varifocal displays to reduce eye strain.

Improved Haptics

Beyond simple vibration, full-body suits and gloves now provide a genuine sense of touch.

5G Connectivity

5G networks provide the low-latency and faster speeds required for seamless rendering.

Types of Augmented Reality

Marker-Based

Uses physical triggers.

Markerless

Uses sensors & cameras.

Location-Based

Uses GPS data (Pokémon GO).

Projection-Based

Projects on surfaces.


Cloud Computing Solutions

The on-demand delivery of IT resources—servers, storage, and applications—over the internet with pay-as-you-go pricing.

Core Characteristics (NIST Standards)
On-Demand Self-Service

Auto-provisioning.

Broad Network Access

Access anywhere.

Resource Pooling

Multi-tenant model.

Rapid Elasticity

Scale instantly.

Measured Service

Transparent billing.

Cloud Service Models

Infrastructure
IaaS

Raw computing resources (VMs, Storage).


Ex: AWS EC2, Azure VM
Platform
PaaS

Framework for devs to build apps.


Ex: Heroku, Google App Engine
Software
SaaS

Ready-to-use apps via web.


Ex: Microsoft 365, Salesforce
Serverless (FaaS)

Pay only for execution time.

Ex: AWS Lambda
AI as a Service
2026 Trend

Pre-trained AI models & APIs.

Deployment Models

Public Cloud

Shared by multiple orgs. Max scalability.

Private Cloud

Dedicated to one org. High security.

Hybrid Cloud

Integrates Public & Private.

Multicloud

Using multiple vendors to avoid lock-in.

Community Cloud

Shared by orgs with common goals.


Web & Mobile Application

We specialize in building scalable, secure, and user-centric digital products. Clustor Computing ensures your application stands out with high performance and seamless UI.

Mobile Solutions

Focusing on high-performance mobility across all platforms.

Native Development
Swift (iOS) Kotlin (Android)
Cross-Platform
Flutter React Native

Web Ecosystems

Building interactive, cloud-ready web applications for the modern web.

SPAs & PWAs

React & Angular focused.

Custom Dashboards

Enterprise-grade portals.

React.js Next.js Node.js

Development Journey

Discovery

Strategy & Tech Roadmap

Design

UI/UX & Prototyping

Development

Agile Coding Sprints

Launch

Testing & Deployment


IoT Integration

IoT is about transforming raw data into intelligence. Clustor Computing provides seamless integration between Hardware, Cloud, and End-user Dashboards.

Edge & Connectivity

Physical devices collecting real-world data like temperature, pressure, or GPS coordinates.

Wi-Fi Zigbee MQTT
Cloud & Platform

Processing thousands of data points every second using industry-leading cloud engines.

AWS IoT Azure IoT Firebase

AIoT: The Intelligent Edge

We don't just connect devices; we make them smart. Using Machine Learning at the Edge, we enable:

Predictive Maintenance
Real-time Alerts
Anomaly Detection
Smart Automation