We are Inventio Hub — a small team of specialists in Computer Science & AI.
We create innovative, secure and tailored solutions.
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Our Mission
Artificial Intelligence is revolutionizing our world with its rapid advancements. Our mission is to demystify AI and make it accessible to you through transparent and efficient collaboration.
We are committed to partnering with you to harness the transformative power of AI, ensuring that our highly technical team guides you every step of the way towards innovative and effective solutions tailored to your needs.
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Principles
1. Business & Data Analysis
Initial analysis to align project goals with your business needs, setting a solid foundation for the AI solution.
3. Building the AI software
Development of the AI software using cutting-edge technologies for optimal effectiveness and integration.
5. Continuous Enhancement
Ongoing support and iterative enhancements to adapt to new market conditions and maximize ROI.
2. Architectural Design
We design a scalable, efficient architecture to support seamless AI integration.
4. Deployment and Integration
Seamless deployment and integration into your existing operations, ensuring real-world functionality.
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Core AI Technologies
Machine Learning
We specialize in crafting scalable Minimum Viable Products (MVPs) and enterprise-level Machine Learning (ML) tools designed to empower our clients in tackling business challenges and staying ahead of the competition.
Our offerings encompass a wide array of services, including eliciting ML requirements, managing and visualizing data, developing and fine-tuning machine learning models, as well as integrating and maintaining the solutions
Data Science
Our team of data science consultants is dedicated to unlocking the full potential of your data, enabling the development of cutting-edge solutions, accessing valuable insights, and effectively tackling critical business challenges.
At our core, we're architects of innovation, harnessing the power of Deep Learning (DL) to redefine what's possible.
Through advanced algorithms and neural networks, we transform raw data into actionable insights, paving the way for smarter decision-making and revolutionary solutions. From image and speech recognition to natural language processing and beyond, we're at the forefront of unlocking the potential of DL across diverse industries.
RPA (Robotic Process Automation)
Robotic process automation is rapidly expanding across diverse sectors, fueled by the urgent demand to streamline business operations, boost efficiency, and maximize returns on investment.
Our team conducts thorough analyses of individual cases, pinpointing optimal automation opportunities, and delivering bespoke solutions tailored to your specific needs.
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Expertise
Generative Adversarial Networks (GANs)
GANs are a type of neural network used for data generation. They consist of two networks: a Generative Network that creates realistic data (e.g., images), and a Discriminative Network that distinguishes between real and generated data.
Main Benefits
Automated Product Image Generation
Environment Simulation
Automated Product Description Generation
Use Cases
Online shops and E-commerces
Product Pairing Creation
Automatic Image Tagging
Information Retrieval and Analysis
The process of obtaining, organizing, and interpreting data to extract meaningful information. It combines advanced research methodologies with analytical tools to identify patterns, trends, and insights from data.
Main Benefits
Advanced Search
Smart Search Filters
Personalized Recommendations
Use Cases
Text-Based Customer Support
Automatic Inventory Updates
Orders and Invoices Management
Object Detection
Object Detection is the process of identifying the location or position of specific objects within an image or video. It involves determining where an object is located and marking its boundaries with a bounding box or region.
Main Benefits
Advanced Visual Search
Product Labeling
Image Quality Assessment
Use Cases
Spotting
Automated Object Recognition
Targeted Privacy Blur
Classification
Classification is the process of categorizing data into predefined classes or labels based on its characteristics. It involves training a model to identify patterns and make predictions about which class a new data point belongs to.
Main Benefits
Personalization of Marketing Campaigns
Automatic Market Trend Identification
Customer Service Automation
Use Cases
Product Classification
Customer Sentiment Analysis
Trend Identification
Segmentation
Segmentation divides an image into regions that share common characteristics, helping identify and separate objects or regions of interest. This technique is essential in computer vision for detailed analysis and categorization.
