Machine learning development services
Start your ML development with our cost-effective proof of concept to future-proof your company and build a value-driven ML solution!
Our Machine Learning development services
ML Development
ML Consulting
ML Integration
Research and technological dev
Prototyping and Proof of Concept
Maintenance & Support
From prototype and MVP to the full-fledged custom ML product built from scratch, we provide you with the most effective solution based on your unique business needs!
Our ML development services help you to:
01
Increase efficiency and speed
02
Reduce costs
03
Improve accuracy
04
Achieve data-driven insights faster than ever before
05
Get quicker decision-making options
06
Scalability & flexibility
Our machine learning expertise
We specialize in creating custom models to solve text-based challenges such as speech recognition, sentiment analysis, keyword extraction, topic detection, automatic text classification, and more. Our ML experts create robust and reliable solutions while providing the best possible user experience.
Our GPT development services enable organizations to create and deploy custom AI systems using Generative Pre-trained Transformer technology. We build tailored AI models with specific parameters and algorithms, offering support for deployment, hyperparameter tuning, data preparation, performance evaluation, and scalability optimization.
Using state-of-the-art computer vision technologies, we develop systems for visual sensing, object detection and recognition, image segmentation, smart video analysis, optical character recognition, and more.
We use advanced deep learning algorithms to create photorealistic 3D models from 2D images or videos. Our 3D modeling service caters to augmented reality, virtual reality, video games, security surveillance, and more. It includes model creation, hyperparameter tuning, data preparation, scalability optimization, and performance evaluation.
Our experts automate and streamline operations, saving time and money. AI-driven robots handle tasks like data extraction, calculations, and customer service. We offer advanced analytics for tracking progress and improvements.
Onix offers smart AI assistants and chatbots for automated customer interactions. Our AI-driven technology utilizes natural language processing (NLP) for seamless conversational interactions. These bots understand context, provide accurate answers, and analyze customer sentiment for real-time insights. Enhance customer service and reduce costs with our AI assistant and chatbot solution.
Onix provides predictive algorithm solutions for data analysis and informed decision-making. Our AI-driven technology detects patterns and trends in large data sets, enabling you to anticipate future events and understand customer behavior with predictive scoring capabilities. Unlock new opportunities, reduce risk, and optimize operations with our predictive algorithms.
The Onix team provides AI-driven data mining solutions for valuable insights. Our AI-driven technology enables deep learning and automated algorithms, allowing you to explore vast amounts of data quickly and easily. Identify correlations and hidden relationships for better decision-making.
Let's build a comprehensive data-driven ML solution capable of automating your business processes with intelligent algorithms and boosting higher performance.
Machine learning platforms we work on
Azure machine learning
AWS machine learning
Google machine learning
Our approach to providing innovative machine learning solutions
a solution tailored to your business goals. Our experts strive
to provide the best possible outcome while ensuring maximum
customer satisfaction.
efficient since we use the agile approach to manage the
development process.
01Discovery
Our ML specialists thoroughly analyze your business goals, discuss your expectations about desired results, determine the strategy, prepare a project roadmap, and carefully estimate development costs and timeframes.02Data collection
We collect and organize the input data used to build the model to better understand business issues and requirements. Moreover, our specialists define available data sources that can be used for training ML models.03Data preparation
Our ML experts clean and prepare the data for feature engineering to ensure accurate and complete data when developing models.04Modeling
We build high-performing ML models and train them to learn how they can make predictions or decisions. We tune the models to optimize their performance.05Evaluation and deployment
Model evaluation allows us to measure how accurate a model's predictions are. Finally, deployment ensures that the model is ready for use in production systems.
Why do clients choose us?
Technologies we use
Algorithms
Supervised Learning,
Unsupervised Learning,
Statistical Learning,
Deep Learning,
Clustering,
Neural Network,
Computer Vision,
Object Detection,
And many more
Languages
Python,
MATLAB
Frameworks
TensorFlow,
PyTorch,
SciKit-Learn,
SciPy,
Darknet,
spaCy
Cloud Platforms
Amazon Web Services,
Google Cloud Platform,
Microsoft Azure
DBMS
MS SQL,
PostgreSQL,
MySQL,
MongoDB
Visualization
Seaborn,
Pillow,
Matplotlib,
Keras,
Fastai
“We've had a fantastic experience working with the team at Onix. They've delivered the vision we had for our platform. Communication has been great, they go the extra mile to make sure work is done to a high standard and delivered on time. It's been a pleasure to have them on board highly recommend them.”
“They provided us with amazing UI/UX design — it was exactly what we had envisioned.”
“They always went above and beyond and really viewed themselves as an extension of our company's team.”
“We are impressed with their professionalism and transparency in their work.”
“Their outstanding ability to solve extreme technical challenges distinguishes them from their competitors.”
“Onix-Systems is extremely reliable, hard-working, and intelligent.”
We’re a competent machine learning development firm that delivers reliable products for various industry domains:
Tell us about your product idea and let the magic unfold.
FAQ
- Requirements gathering: During this phase, the data scientists and engineers identify the problem to be solved and develop a plan for creating an ML solution.
- Data preparation: In this stage, the necessary data is collected, cleaned, formatted, and processed for use in the ML model.
- Model building: Machine learning algorithms are applied to build predictive models based on given datasets. This includes feature engineering, feature selection, and model selection/validation.
- Evaluation & deployment: This phase involves testing and validating the built machine learning model by assessing its performance against a test dataset or benchmarking it with existing solutions. Once validated, the model can then be deployed in a production environment at scale to serve real-world requests.
- Drone & Satellite AI for Mapping and GIS
- Crowd Behavior Patterns Recognition
- Green Energy Power Generating Forecast
- Social Network Auto-reply assistant
- Language Detector
- Replacing Faces in a Video Stream
- LSTM News Categorizer
- and many more