Gailantrix AI

About Us

Transforming Data into Action: AI, Trading Bots, IoT & Robotics

Our team is passionate about unlocking insights through intelligent data solutions, with over 5 years of experience in AI-driven analytics, machine learning, and algorithmic trading. We specialize in developing data-centric models and automated stock trade bots that transform raw information into actionable strategies.Combining rigorous analysis with innovative algorithms, we deliver measurable impact across finance and technology sectors.

With deep expertise in stocks data analysis and algorithmic trading, we build sophisticated trade bots that leverage machine learning and real-time market data to execute high-frequency trades with precision and speed. Our predictive models analyze market trends, identify opportunities, and optimize portfolio performance to maximize returns while managing risk in dynamic financial markets.

Beyond finance, we’re also passionate about the convergence of IoT and robotics. Our team creates intelligent systems that enable connected devices to interact seamlessly and make autonomous decisions in real time. Constantly exploring the latest AI advancements, we push the boundaries of innovation by integrating robotics and smart IoT networks with cutting-edge data science.

Computer Vision Model Video Analytics Generative AI Models Financial Data Analysis Prototyping IoT and Robotics Pattern Recognition Data Analytics AI-Driven Physical Security Automating Data Entry with OCR

Featured Work

Computer Vision Models

Harness the power of AI to extract, analyze, and interpret visual data. Our computer vision models detect objects, recognize text (OCR),and understand images in real time—transforming raw visuals into actionable insights for documents, surveillance, retail, and more.

Neural Networks Building Custom models Python PostgreSQL

Text Recognition From images

Extract printed or handwritten text from images with high accuracy using advanced OCR technology. Our solution transforms photos, scanned documents, and screenshots into editable text—ideal for automating data entry, digitizing paperwork, and unlocking insights from visual data.

Deep Neural Networks OCR Python Data Extraction

Pattern Recognition

Identify recurring structures, trends, and anomalies in visual or data patterns using AI-driven algorithms. Our pattern recognition solutions enable smarter automation, enhanced quality control, and predictive insights across images, signals, and structured data.

Machine learning Data Mining Large Data Finding Insights

Facial Recognition

Utilize advanced facial recognition technology to detect, verify, and identify faces with high precision. Ideal for security, authentication, attendance tracking, and personalized user experiences—our solution ensures fast and reliable performance across various environments.

CNN Deep Neural Networks Python Large Images dataset

Financial Data Analytics

Leverage intelligent analytics and algorithmic trading to gain an edge in the financial markets. Our solutions analyze real-time and historical market data to uncover trends, manage risk, and drive smarter investment decisions. Trade bots execute strategies automatically, ensuring speed, precision, and consistency across diverse market conditions.

Finacial Data Timeseries Model Trends Trade Bot

Video Analytics

Transform video footage into actionable insights with real-time or recorded video analysis. Our AI-powered video analytics detect events, track objects, and recognize behaviors—enhancing security, operational efficiency, and decision-making across industries.

CNN Deep Neural Networks Object Tracking Python

Science On Sphere

Science On a Sphere (SOS) is an educational visualization system. It uses a large spherical display (like a globe) onto which dynamic images and data visualizations are projected. The purpose is to help audiences—especially in museums, science centers, and educational institutions—better understand complex Earth and space science topics.

Key Features:

360-degree spherical display: The screen is a 3D globe (often about 6 feet in diameter) that gives viewers a global perspective.

Multiple projectors: Four or more video projectors are typically used to cover the sphere's surface seamlessly.

Real-time data and animations: It shows dynamic datasets such as weather patterns, ocean currents, climate change, planetary science, and even historical flight paths or ship routes

Educational tool: Used widely in science museums and classrooms to teach about Earth systems, planetary science, environmental change, and natural disasters.

Science museums Planetariums and educational centers Universities and schools Environmental and science education programs

Transforming Ideas Into Intelligent and Scalable Solutions