Increased competitiveness among commercial companies leads to the search for new technological opportunities. One of them is neural networks and artificial intelligence systems, based on them. We offer our customers solutions in this area that are unique in a number of ways.
There are many solutions on the market for a number of large companies, they are effective and have proven themselves well. But for small and medium-sized businesses, as well as new areas and startups within large companies, they are not always economically justified. An attempt to use standard “large” solutions often does not work for the following reasons:
- Lack of a feasibility study and experience for its creation in small and new directions;
- Lack of corporate culture of data handling;
- Poorly prepared and unstructured data;
- Lack of the necessary infrastructure for operational accumulation, processing, and access;
- Lack of proven technical solutions;
- The problem with higher risks;
- Lack of understanding of how to evaluate the success of this implementation;
- Lack of flexibility in implementation.
We understand these problems, so we decided to focus on this segment by solving the problems described above. We managed to assemble a team of specialists from various technology leader companies. The core of the team were immigrants from the Moscow Institute of Physics and Technology and we were able to develop a different approach with their help.
Its essence is:
- A more thorough study of the feasibility study by offering more hypotheses to the development backlog;
- Deeper immersion in the specifics of business and customer data;
- Aggressive data optimization, greater emphasis on data preparation and primary processing due to GOFAI functional methods;
- Minimization of requirements for infrastructure and technical personnel interacting with data and models;
- Small iteration cycles, high flexibility.
A key success factor, from our point of view, is a large number of hypothesis models, the maximum possible data preparation. This approach has proved its effectiveness in the conditions of industry competitions in artificial intelligence and in real market conditions.
How does the development procedure start?
- You contact us and determine the data that you can provide to us and the goals you want to achieve.
- We determine the state of this data and its infrastructure.
- We build a set of hypotheses and discuss them with you from a business point of view.
- The hypotheses that you like are detailed and a model is created from them.
- After that, data is prepared and models are created.
- Implementation and evaluation of results.