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HOW WE WORk
METHODOLOGY
Feasibility study (1-2 weeks)
Building prototype (6-12 weeks)
Solution deployment (3-6 months)
Feasibility study (1-2 weeks)
- First, we do our best to understand our clients and their needs.
- This is a stage in which we closely cooperate with our client’s team, get access to crucial data, and exchange information on a daily basis.
- We want to make sure that the project we are working on together will be an investment that will quickly pay off and keep on bringing additional value in the future.
Building prototype (6-12 weeks)
- At this stage, we focus on verifying that our certain ideas have the potential for real-world solutions.
- We build, compare, and evaluate several machine learning models in order to choose the best model for a given task.
- We build a prototype that resembles chosen models and analyzes it with our client to agree on details.
Solution deployment (3-6 months)
- Our team of experts implements custom-made solutions into existing systems and runs multiple tests to make sure that everything works smoothly.
- Now, our clients can take advantage of the most recent technological solutions and observe how advanced algorithms improve their business outcomes.
PLATFORM
We utilize platforms to accelerate and maximize the effectiveness, reliability and cooperability of our solution development with clients.
TECHNOLOGY STACK
Effective and Efficient
Machine leaning
PyTorch, TensorFlow, Keras, sikit-learn
Data processing
Pandas, Spark
Image Processing
OpenCV, skicit-image, PIL
Full Stacks
.NET, Java, MEAN/MERN
Python frameworks
Flask, Django
Cloud Platforms
AWS, Azure, GCP
