End-to-End AI Platform
AI Dynamics formerly Dimensional Mechanics Inc. provides a resource that users can utilize to build a wide range of AI models and put them into productions. A wide range of input formats can be used such as: Text, numeric, vector, images, videos, audio files, dicom images, genomics, and proteomics.
AI Dynamics utilizes a wide range of algorithms including deep learning (classificatin & regression), PCA, K-Means Clustering, Bounding boxes, and Object recognition. We can provide a catalog of user projects we have either built or consulted on. The industries include: Advanced Imaging, BioInformatics, Material Science, Industrial Science and others.
Our models are designed to run on any processor with our Query Runtime program which includes: High Perfomance On-Premise hardware, cloud services, and low power IoT devices.
We offer our clients a wide range of options to build models.
- If you are experiences working with Linux and cloud services, you can access our platform (NeoPulse) on Amazon Sagemaker or Microsoft Azure and use our training materials and documentation to build and start training your first model in less than a day.
- Otherwise, we can provide training that would allow an IT engineer or business professional with no machine learning experience to build high quality models with your own data on our NeoPulse AI Studio platform. The platform can build a model with as little as 14 lines of code in full automatic mode, or can be customized to replicate any model built with python code with less effort.
- As a third option, we can also provide a complete turnkey solution including data preparation, model creation, model training, and model production support.
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Introduction to NeoPulse AI Studio 3.0
Neopulse AI Studio 3.0 is a platform that can be used to build a wide range of different AI models in the cloud or on premise.

NeoPulse® Brief Description
The easy to use NeoPulse® Framework is the only platform for experts and non experts to transform data into information that can power better decision-making, increase efficiency, reduce costs, allow for new product discovery, better customer experiences, and reduced human error.
Reviews
the project
Custom Software Dev for Technology Corporation
"...it met all the expectations."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
The companies like Netflix, Google, and Microsoft, have amazing AI solutions internally, but not all of our customers have the expertise, or access to AI infrastructure or access to human resources like they do.
I believe that DM has the right solution with enterprise vision to democratize AI and provide AI as a tool to domain specialists in various industries and domains.
For what projects/services did your company hire Dimensional Mechanics, Inc?
Our goal was to validate performance, validate the usability and enterprise features of neo pulse studio.
What were your goals for this project?
Yes, it met all the expectations. And we are now talking to a few selected customers about dimensional mechanics to validate the solution.
How did you select this vendor?
Based on the technology, the solution, the holistic approach, and the vision.
Describe the project and the services they provided in detail.
Our objective was to validate performance, validate the usability and enterprise features of neo pulse studio.
What was the team composition?
2 Resources from DM including their CEO, 4 of us from Dell Technologies - 2 solution architects and 2 technologists.
Can you share any information that demonstrates the impact that this project has had on your business?
We believe if we make our customers successful, we will be successful. And by enabling AI and making this available for wider audience is of great value.
How was project management arranged and how effective was it?
It was just via emails, zoom meetings and it worked for us.
What did you find most impressive about this company?
The oracle ... the brain behind neo pulse, the NML language and neo pulse query runtime.
Are there any areas for improvement?
Yes, the on-prem installation process. DM did set an expectation that this is something they are aware of and working on it.
the project
Multi-Object Detection ML Model for Poultry Farm
"Everybody seems confident in AI, and they actually enjoy solving various AI problems."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am working for a cloud service company localized in Seoul, South Korea and I am in a team offers ML as a service.
For what projects/services did your company hire Dimensional Mechanics, Inc?
We got an opportunity in multiple object detection and Dimensional Mechanics was a confident AI speciality.
What were your goals for this project?
Our goal was to count chickens in poultry farms with computer vision technology. With a ML machine we bult-up, it was expected to automatically count the numbers of chicken from pictures taken in the farms.
How did you select this vendor?
Dimensional Mechanics is one of the company offers their service in AWS Market Place.
Describe the project in detail.
The poject was to count the number of chickens from pictures taken in poultry farms, with the customer needs of building up a ML model which automatically counts number of chicken so that they would be able to operate their business more efficient way.
However, in the raw data, it was hard to detect what were chickens or not, also it was almost impossible to count how many chickens actually were. Dimensional Mechaics didn't just stick to a traditional way in computer vision rather to solve the challenge.
They approached in a different way (thinking differently) that not only requires less human resources but also realistic ML training method.
What was the team composition?
Me and Dimensional Mechanics's data scientists worked together.
Can you share any outcomes from the project that demonstrate progress or success?
First of all, with Dimensional Mechanics's approach, it boosted the project to carry on. Dimensional Mechanics motivated the customer to pursue the project. The model accuracy was also higher than the customer expected, they were impressed with the result.
How effective was the workflow between your team and theirs?
To work through together, we had regular meetings, and worked along with SoW to be aliged tightly.
What did you find most impressive about this company?
Dimensional Mechanics's AI skill is outstanding. Their team members , not only data scientists, are very experienced so that they come up with practical ideas. Everybody seems confident in AI, and they actually enjoy solving various AI problems.
Are there any areas for improvement?
They are already improving over and over. It would be better where we could learn more about their product by educational resources.
the project
AI Development of Candidate Evaluation Tool
"The tools they’re developing are well ahead of the industry."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
Introduce your business and what you do there.
I’m the co-founder of a company called Cognitive Application Studio Inc. Our goal was to create a tool to assess candidates. For 25 years, a business partner had done this by hand from resumés. The partner attributed it to the methodology by which he assessed resumé.
What challenge were you trying to address with Dimensional Mechanics, Inc?
We determined that AI was at the point where this resumé-screening process could be done automatically. Thus, we formed a startup based on building this technology. Dimensional Mechanics built the AI model for us.
What was the scope of their involvement?
The AI model was designed to look at 10 candidate attributes in a resume. For example, we checked if they had relevant industry experience that pertained to the company. The model was able to go through the about section for each candidate. After this, they were able to generate codes based on each company doing the search. We could easily match candidates, background, and experience for companies. That’s essentially what we wanted.
To build the model, we provided some training sets of 3,000 companies and 5,000 resumes. The final deliverable was a working demo that we could show to customers. The demo was used in our investment presentations to potential customers.
What is the team composition?
We primarily worked with Jason (Lead Engineer, Dimensional Mechanics). The CEO was involved, but not on a day-to-day basis.
How did you come to work with Dimensional Mechanics, Inc?
One of our board members had met the CEO prior to the engagement. We went to one of their presentations, talked with them, and came away very impressed with Regiv (CEO, Dimensional Mechanics) and his team. They were the first people we thought of and we just went with them.
How much have you invested with them?
We invested between $15,000–$20,000.
What is the status of this engagement?
The project opened in April 2017 but did not begin until June 2017. It took them two weeks once it actually got started.
What evidence can you share that demonstrates the impact of the engagement?
To me, success depends on time, quality, and cost. The quality was very high, they completed the work much faster than we expected, and the cost was great. It was much less expensive than working with a larger company like IBM, for example. The accuracy was also good, coming in at 82%. The AI engineers are great.
How Dimensional Mechanics, Inc perform from a project management standpoint?
We mostly communicated through email. They’re intense workers and I don’t want to interrupt—I drop an email and hear back within one business day.
What did you find most impressive about them?
The tools they’re developing are well ahead of the industry. The product set puts them head and shoulders above other companies. They’re nimble and very forward-thinking. It really changes and democratizes who can build AI models.
Are there any areas they could improve?
I don’t think so.
Do you have any advice for potential customers?
I would take advantage of their ability to be more than just a vendor. They were a partner to us, and it’s easy to develop that kind of relationship with them. They’re very open to that. It just helps everything.
The vendor's services are integral to providing AI solutions for a wider audience. They had an effective project management style, accented by a quick working style.