The team is overloaded with repetitive tasks.
A lot of time is spent on searching, summarizing, classifying and preparing typical materials.

We design and implement AI tools for specific business processes: from assistants and information processing to automation of repetitive operations.
A service is needed when a digital tool must solve a specific task and not exist separately from the company’s processes and goals.
A lot of time is spent on searching, summarizing, classifying and preparing typical materials.
Information is stored in various systems and is difficult to translate into a useful response or action.
A safe pilot with a clear mission, constraints, and outcome metrics is required.
We focus our work on improving the process, the quality of communication or achieving a measurable result.
We agree on the scope after an initial review, focusing on what your project actually needs.
Define the point of application, users, data and limitations.
We record input data, actions, result verification and human participation.
We create a working pilot for testing on real examples.
We connect authorized sources, APIs and working tools of the company.
We establish access rights, logging and verification of critical actions.
We compare the result of the pilot with the original process and plan scaling.
We move from the understanding of the task to the verified result, consistently fixing the solution.
We choose tasks where the effect can be checked by time, quality or conversion.
The result is transmitted in an understandable format, ready for use and further development.
The starting format is a pilot for one limited task on an agreed data set. We determine the verification criteria, create a prototype and evaluate its performance. Industrial use, integrations, big data cleansing, and APIs are billed separately.
We combine marketing understanding of the task, interaction design and technical implementation.
We choose a tool after understanding the process and the expected benefit.
Critical decisions and publications are not passed to the model without verification.
We take into account the API, infrastructure, support and quality of the result after launch.
We briefly answer about the format, cost, terms and possibilities of further development.
Knowledge base assistants, document and request processing, draft generation, classification, summary, and other controlled scenarios.
Most often, a pilot can be created based on available models and APIs. Own infrastructure is only required for specific data, scale or control requirements.
Prior to development, we define acceptable sources, rights, storage, and transfer restrictions. The solution is designed taking into account the company’s policy and the services used.
First, we select a metric and compare the pilot with the current process. Scaling is offered only after the measured result.
Possible tasks and solution formats. We determine the project scope after discussing business processes and requirements.
Searches for information in an authorized database and prepares a response with sources.
Discuss your needs →Classifies the input data and runs the working script to be checked.
Discuss your needs →Describe a process that takes a long time or requires working with a large amount of information. We will evaluate the possibility of a safe pilot.