Artificial Intelligence
Upgrade Your Business: Harness Next-Gen AI Software Solutions for Enhanced Efficiency, Innovation, and Competitive Edge
What You Get
Custom AI Software Development
Unlock the potential of AI with our custom software development services, designed to meet the unique needs of your business. We create AI applications, AI-driven automation, and AI-powered analytics that help you stay ahead of the competition
Custom AI Software Development
Leverage our expertise in machine learning to develop advanced models that learn from data and deliver actionable insights. We specialize in supervised learning, unsupervised learning, and reinforcement learning techniques
Natural Language Processing (NLP)
Enhance your user experience with our NLP solutions, including chatbots, sentiment analysis, and text classification. We develop NLP applications that understand, interpret, and generate human-like responses
Computer Vision Solutions
Harness the power of computer vision to automate visual tasks and gain valuable insights from images and videos. Our experts develop image recognition, object detection, and facial recognition solutions tailored to your business needs
AI Integration
Maximize the value of your existing systems with our AI integration services. We help you seamlessly integrate AI capabilities and deploy AI models to enhance your operations
Cases
CRM system for organizing an annual competition
EdTech, Non-profit
Non-profit foundation based in New York that supports contemporary art and education
Education platform
EdTech
Startup from the USA
Mobile application for real estate agents
RealTech, Profit, AI
Startup from the USA
Crypto Wallet App
Blockchain, Profit
Startup from Canada
Analytics system for distributors
Manufacturing
A large American distributor of heat exchange and ventilation equipment
Mobile app for self-management diabetes
Healthcare
Startup from the USA
Mobile apps for trucking business
Transportation
Startup from the USA
Mobile app for charity
Blockchain, Non-profit
Privately owned company based in sunny Australia
Mobile application for learning music
EdTech, AI
Startup from the USA
Streamlined site for beef producers
Manufacturing
A large cooperative of American ranchers who produce and sell beef
Platform for video calls
EdTech, Profit
Startup from the USA
Startup from the USA
Solutions for the governmental body
Healthcare, AI
Department of Health and Human Services
Want to test a new idea, bring a concept to life or improve a digital product? Great! Our dedicated web team will guide you through the following steps and partner you through the entire product development process
Initial Consultation & Goal Setting
We discuss with you the business goals, objectives, and expectations for the AI project. Identify specific use cases and opportunities where AI can have a significant impact. Evaluate the feasibility of the project and set clear goals and KPIs
Data Collection & Preparation
Assist you in collecting relevant data from various sources such as databases, APIs or web scraping. Do data preprocessing and transformation to ensure data quality, consistency, and privacy compliance. Separate the data into training, validation and test sets to facilitate model development and evaluation
Feature Engineering & Model Selection
Select appropriate characteristics (variables) that will serve as inputs to the AI model. Create new features or modifications to existing features to improve the effectiveness of the model. Select appropriate AI algorithms or model architectures based on the problem, objectives, and available data
Model Development & Evaluation
Train the AI model on training data, adjusting its parameters to optimize performance. Regularly evaluate the model's performance on the validation set to prevent overshoot or undershoot. Fine-tune hyperparameters in the model and make necessary changes based on your requirements
Model Deployment & Integration
Deploy a trained AI model on your server, such as a cloud server or your own hardware. Provide support and guidance for you throughout the deployment and integration process, ensuring a smooth transition
Model Monitoring, Maintenance & Updates
For the first week, monitor the performance of the AI model in the production environment, identifying potential problems or performance degradation. Support you to resolve any issues, retrain the model for new data, and maintain its accuracy and adaptability
Tech stack
Python
R
AWS
Google Cloud
NumPy
TensorFlow
PyTorch