Machine Learning Development & Consulting Services

• Getting a clear picture of your business challenges and requirements through interactive workshops, one-on-one interviews, and observing processes firsthand;
• Pinpointing specific use cases where applying machine learning techniques could provide more value compared to traditional software solutions;
• Evaluating your current technology landscape and infrastructure to understand what’s already in place;
• Collaborating closely to clearly define both the functionality the solution needs to deliver, as well as other important non-functional requirements like performance, scalability, etc.;
• Market research and business strategy.

• Clearly outlining the characteristics and criteria for the ideal dataset to power AI solution;
• Providing expertise to help identify and evaluate potential data sources to pull from;
• Thoroughly examining the data available to ensure its quality, completeness, and fit for purpose;
• Offering guidance on techniques to analyze the data, identify issues, and apply cleaning methods;
• Lending a hand with tasks like intelligently filling in missing data or reducing high dimensions;
• Designing an optimized series of steps to efficiently prepare and preprocess the data;
• Illuminating the optimal approach for establishing a smooth end-to-end data analysis workflow.

• Recommending appropriate machine learning techniques and algorithms;
• Helping choose the right technologies and tools;
• Laying out the high-level architecture and components;
• Guidance on designing an intuitive user interface;
• Mapping out the development roadmap with milestones;
• Developing testing strategies;
• Advising on evaluating and measuring model performance;
• Defining project objectives, deliverables, and timelines;
• Competitor comparison;
• R&D and proof-of-concept;
• Technical specifications.

• Keeping a close eye on the data preparation steps to ensure the information going into the model is clean and properly formatted;
• Providing expertise and advice during the training process to help the model effectively learn from the data;
• Tracking milestones and checking in on how development of the overall solution is progressing;
• Making sure to establish best practices for implementing machine learning models;
• Offering recommendations on security measures and compliance requirements to protect the model and any sensitive data.

• Crafting a well-thought-out plan for how and where to deploy the machine learning model;
• Helping to smoothly integrate the model into your company’s existing software systems;
• Ensuring the model can scale up or down as needed to handle fluctuations in demand within your target computing environment;
• Putting measures in place to maintain the model’s speed, reliability, and security once deployed;
• Verifying that all guidelines for properly integrating and testing the model have been followed.

• Keeping a watchful eye on the machine learning model’s performance, promptly identifying any issues or hiccups along the way;
• Offering guidance on when it’s time to refresh the model’s knowledge through retraining, preventing it from becoming outdated or stale;
• Establishing a clear roadmap for continuous improvement, allowing the solution to evolve and adapt over time;
• Providing ongoing training and support to users, empowering them to fully leverage the capabilities of the machine learning solution.

ML can revolutionize education by personalizing learning experiences, improving student outcomes, and optimizing educational resources. Educators will find at-risk students and intervene early on.

Machine learning can also automate administrative tasks like grading and scheduling.

We provide machine learning systems to assist logistics firms in improving traffic management, warehouse and route optimization, passenger safety, and fleet productivity. Our solutions include traffic monitoring, driver support, precise delay forecasts, and predictive maintenance.

Our team of experts helps healthcare organizations improve diagnostics, treatment, and patient experience through visual and speech correction assistants, medical image analysis, and virtual nursing.

Machine learning solutions will help your company control risks, forecast retailer demand and personalize advertising, pricing, and services.

Our solutions enable fraud detection, compliance with safety regulations at enterprises, real-time consumer engagements through chatbots, and sophisticated search engines.

Machine learning (ML) is revolutionizing veterinary medicine by analyzing large data sets, making accurate predictions, and developing personalized treatment plans, resulting in improved outcomes and better overall pet care.

In fact any industry can benefit from using modern technology such as ML. Even if you haven’t found your domain here, don’t hesitate to contact us. Our consultants will discuss your needs and come up with different options.

Automate tedious tasks and distribute the workload of employees with natural language processing and computer vision.

Provide predictive monitoring and preventive maintenance.

Optimize the process using demand forecasting and predictive modeling.

Deal with customer requests more quickly.

Estimate stock liquidity and forecast sales volumes with predictive analytics.

Send personalized offers using customer behavior data analytics.

When old-school development is too tedious and expensive, machine learning will help.