Machine Learning Development Company
Expert machine learning model development custom-tailored for your data and use case, optimized for accuracy, speed, and reliabilityGet a free estimate
Solutions to Your ML Challenges
Data Collection and Processing
We build an app that collects and processes user data for machine learning predictions, handling a diverse range of data types and sources while prioritizing data quality.
Our team creates an app that learns and adapts in real-time by updating the model with new data using efficient and accurate algorithms.
We build an ML app that can function offline. This involves embedding the ML model within the app and ensuring it can run and make predictions without server communication.
Our ML App Development Process
Our company introduces the client to the ML team and reviews the problem to solve, desired outcomes, data availability, and testing scope to understand the feasibility of an ML solution.
We establish clear objectives, quality standards, coverage targets, models to try (regression, classification, neural networks, etc.), infrastructure requirements, evaluation metrics, and resource requirements.
Our team creates prototypes and sample model code covering relevant algorithms and techniques, including data processing pipelines, feature extraction, and validation strategies.
We configure cloud or local servers with diverse and realistic data to replicate target usage scenarios and workloads for the ML system.
Our experts evaluate models on test data using metrics like accuracy, AUC, precision, and recall to ensure the system works as expected across various inputs and conditions.
We provide reports summarizing model performance over time, data coverage, confidence intervals, algorithm stability, operationalization status, and final benchmarks.
What do our customers say about us?
“We engaged SpdLoad to develop and deploy a central business solution. It was the right decision. It was a pleasure to work with the team on all levels!”
“SpdLoad has provided us with an excellent set of engineers who could work on complex problems and provide scalable solutions that will last us for years.”
“Firstly, they’re very proactive in working on custom software development. Secondly, they are transparent about the processes and costs. Thirdly, their designers are amazing.”
“From the first meeting, we realized that we would cooperate. I’ve worked with a custom software development agency for ten years, and the SpdLoad team is one of the greatest.”
“We brought them on to implement two startups. Their skills and professionalism are outstanding. I appreciate that they are engaged and communicative, but most of all, there is no distance between us, even though I am in Chicago and the team is in Ukraine.”
“The people at SpdLoad are highly effective and easy to collaborate with. I am satisfied with their work. They helped us to develop our MVP in six months in a complex and stressful situation.”
“SpdLoad developed the CRM dashboard of the B2B2C marketplace using ReactJS. The team has significantly expanded its functionality, so we also decided to collaborate on other projects.”
“After having a great experience, I plan to use SpdLoad for all future projects, subject to their availability.”
“Throughout the entire process, they were great partners. Working with them was enjoyable, and we were impressed by their professionalism and output during a time of great uncertainty in their home country.”
exceeds two years, as verified by
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ranging from 90% to 100% according to the
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Our featured projects
- eLearning app
- HR Solution
- eLearning web app
Got a Project in Mind? Tell Us More
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Frequently Asked Questions
Our team informs clients about data requirements for app development, including user input, interaction data, and other necessary data. We value transparency and disclose how we collect and use the data.
Absolutely. We utilize industry-standard encryption and practices to protect your data and comply with privacy laws and regulations to safeguard your information.
No, you generally do not need to purchase hardware for our ML app. We ensure efficiency on most modern devices. However, we will need access to cloud infrastructure to train models.
Accuracy varies based on the task and quality of training data. We work continuously to improve models and can provide specific rates for features upon request.