Custom
Machine Learning
and Deep Learning
Outsource services
We are investing in proper ML infrastructure, staff training, and have relevant HR and project management support. This way you pay only for engineering time and enjoy lower operating costs. Plus, we provide computational power for training of models per project.
We are commited to quality of deliverables, time frames and budget. 85% of our customers are loyal clients. We have a 98% project success rate. Since 2015, customers accepted 48 000 hours and 136 projects.
You can focus on your core business while we are taking care of the Computer Vision part of it. Our clients enjoy transparent development processes consistent with their timelines as well.
We will help you to strike the right balance between long-term goals and short-term result. CVisionLab develops AI solutions of cutting-edge, so you don’t need to worry about keeping up with innovations.
We have anotation specialits who can easily and substantialy label thousands of images for your project.
Our clients are granted with adequate GPU per project. No need to shop around for desirable and required instances on other top rated services.
Our typical project consist of stages we describe below.
Depending on specificity of each task some parts might be longer, shorter or skipped.
Input: research and project constraints.
Deliverable: scope of work, schedule, budget and client’s kick-off meeting.
Time frame: 1-2 weeks.
Start: internal kick-off meeting with Team leaders.
Deliverable: assessment of what can be done based on our experience solving similar tasks and current modern solutions.
Time frame: 3-5 days.
Input: research and project constraints.
Deliverable: scope of work, schedule, budget and client’s kick-off meeting.
Time frame: 1-2 weeks.
Input: detailed understanding of a project objectives, their feasibility and performance requirements.
Deliverable: review/testing of most promising approaches, discusion and approval of a testing protocol that will be used for quality evaluation during further development, prepare detail plan for further development.
Time frame: 1-3 weeks.
Input: technology and hypotesys.
Deliverable: realization of the certain idea to demonstrate feasibility.
Time frame: 4-8 weeks.
Input: technology and hypotesys.
Deliverable: realization of the certain idea to demonstrate feasibility.
Time frame: 4-8 weeks.
Input: initial prototype.
Deliverable: Average team may vary but 2 roles are permanent
• Team lead, who shares vision and provide technician exportation and quality of code.
• Project manager, helps you to find and check several routines questions in the project and provide a short and useful report each week.
Time frame: Duration of this stage significantly depends on the tasks and results achieved during the development of the initial prototype.
There are so many popular Deep Learning software tools. Certainly we know their prons and cons.
But our strong side is that we can and do contributes to open source projects.
Alexander and his team built us a phenomenally effective duplicate image detection system, tuned to the corpus of the image found on our site and our own unique conception of what constitutes a “duplicate”. Would work with the team again on projects requiring vision expertise.
Niel Berkman, President
We Heart It
Alex has excellent knowledge of all areas of computer vision, most of it goes over my head, but he was able to understand our requirements and get a good solution built. We then moved on to a second iteration and Alex understood the what was needed and had the changes made quickly. Will use for all future computer vision needs, I would highly recommend speak to Alex about your computer vision needs.
Colin Lamond, CTO
Copla Ltd
I worked with Alexandra during a very challenging R&D project. Results which we achieved were accepted by investors. We haven’t reached all goals due to the limited time we have. I’m looking forward to work with Alexandra again.
Jakub Folga, PM
Atos
Vladimir is super talented and was able to add value in existing software he had to learn, as well as develop new software from scratch. Just as one example, he made an improvement that cut the processing time of complex 3D modules from 1 hour to 2 minutes. I hope to work with him again in the future.
Shlomi Avigdor, CEO
ORCA Dental AI
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