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OUR SERVICES
Support AI teams
Have your own team, but lack of expertise? Struggle on how to connect your data, how to fine-tune a model, how to build a reliable and secure architecture, or just where to even start - come, we will help
Deliver AI products
Have an idea? Wonna start new business or improve current one? Come and we will help you build an MVP to start making money in a week.
AI education
By experimenting a lot with new AI products, the latest models and findings from research, we gain invaluable practical experience. And we want not only to accumulate it, but also to share it. Join us
OUR CASES
Problem
All data from the documents of new employees was entered into the accounting systems manually and this took a lot of time.
Solution
We have developed and implemented a solution for automatically extracting data from candidates' personal documents (Passport, SNILS, Taxpayer Identification Number, diploma, work book, military ID)
All data from the documents of new employees was entered into the accounting systems manually and this took a lot of time.
Solution
We have developed and implemented a solution for automatically extracting data from candidates' personal documents (Passport, SNILS, Taxpayer Identification Number, diploma, work book, military ID)
- The process of accepting a candidate has accelerated 1.9 times since the submission of documents
- Candidate satisfaction with the admissions process increased by 32%
- 96% takes place without human intervention
Request
The startup helps companies create their own personal assistant to answer customer questions. To create an assistant, just insert a link to the company's website.
Solution
We created "Brains" for a chatbot based on ChatGPT with instant training using client data.
The startup helps companies create their own personal assistant to answer customer questions. To create an assistant, just insert a link to the company's website.
Solution
We created "Brains" for a chatbot based on ChatGPT with instant training using client data.
- We have developed a prototype of a traffic sign recognition system trained on data from Russian roads.
- To recognize rare characters, we used generative Al technologies.
A person records a short voice cast, which is processed by a neural network.
In the future, for new entries, the system can determine whether the passage belongs to this person or not
In the future, for new entries, the system can determine whether the passage belongs to this person or not
- >99% accuracy of the algorithm
- <8 sec. required for voice verification
OUR PARTNERS
