K2 NeuroTech: PAK-ML

The main articles are:

• Big Data
• Data management

PAK-ML is a flexible, scalable computing system designed to work with high loads in the field of machine learning.

2025

Langflow Platform Integration

Full-cycle AI integrator K2 NeuroTech (part of the Tech K2) has integrated the Langflow tool into its ML platform as part of the K2 Cloud low-code cloud infrastructure. This feature allows a business to quickly develop solutions based on large language models (LLMs) without deep programming knowledge . K2 Tekh announced this on November 25, 2025.

Langflow's integrated platform is an environment for visually designing complex data processing pipelines using large language models (LLMs). This software suite enables accelerated AI prototyping and industrial deployment of intelligent systems, including RAG architectures, dialog agents, and chatbots. The system visualizes the logic of the algorithms, making the processes transparent and understandable for all project participants. Support for integrations with LLM, vector databases and external APIs allows you to switch from experiments to industrial operation without interruption.

For our ML platform, Langflow integration is a strategic step that closes the key business need for accelerated AI product development. Customers now get a ready-made MLOps environment to work not only with classic ML, but also with advanced LLMs. Low-code allows business teams to independently create, test and implement solutions based on large language models, which reduces the threshold for entering AI technologies by an order of magnitude and reduces the time for the solution to enter the market, "commented Vyacheslav Degtyarev, product manager at NeuroTech K2.

For us as a cloud provider, this integration is a logical and welcome development of our AI service ecosystem. We provide customers with not just virtual machines with powerful GPUs, but a ready-made environment for innovation. The customer can now quickly deploy Langflow and get an end-to-end workflow, from visually prototyping LLM solutions on a low-code platform to launching them industrially on a productive and scalable infrastructure. This significantly reduces Time-to-Market and allows the business to focus on the essence of its tasks, and not on the difficulties of administering hardware, "commented Mikhail Voronin, GPUaaS K2 Cloud product manager.

Inclusion in "K2 Clouds"

K2 Cloud K2 NeuroTech and (divisions) K2Teh on September 4, 2025 announced that the model automation and lifecycle management solution machine learning has become part of the cloud platform. K2 Cloud Users can now launch field projects quickly and safely, machine learning test hypotheses, and implement ML models in a productive environment without having to deploy and maintain their own infrastructure. Through a partnership with K2 Cloud, users will also be able to integrate (, cloud services etc.) with K2 databases Kubernetes ML NeuroTech tools.

The main obstacle for companies in the path of introducing and developing their own AI projects is a high entry threshold. K2 Neurotech provides access to ready-made ML tools based on a GPU platform, which allows you to start real work on projects in the field of machine learning and artificial intelligence on the day of use. The goal of our partnership is to overcome the technological and organizational difficulties that companies face when introducing AI into processes, taking on the solution of infrastructure problems and ensuring the advantages of the cloud model: usability and cost transparency, - said Sergey Zinkevich, CEO of K2 Cloud.

K2 NeuroTech ML platform is a complete environment for preparing data, launching experiments, training, validation and monitoring models. The solution is a suite of tools that includes pre-installed JupiterLab and VS Code development environments. With them, teams can explore data, build models, and visualize results. The GitFlic software development platform allows you to manage code, configure automated assembly and control at all stages of development, from testing to the deployment of ML models. The solution integrates into the IT infrastructure by being able to support both virtual machines and container environments.

The market request is to reduce the path from idea to result: if you land on machine learning tasks, then it is important for a business to be able to quickly and safely create its own models and train them for the specifics of activity and industry. K2 NeuroTech eliminates key barriers when introducing AI into business processes: fragmentation of tools, complexity with scaling and lack of transparency in the work of ML teams. Thanks to preinstalled and configured MLOps tools, you can start working with machine learning in just 20 minutes, earlier it took several days to test hypotheses and launch projects, "commented Svyatoslav Smirnov, head of the K2 NeuroTech division.

The solution is intended for data scientists, ML engineers and analysts who need a stable, scalable and secure basis for teamwork and the implementation of applied AI scenarios in the business. Managers are able to track the effectiveness of ML projects through a single interface.

The ML platform solves a wide range of tasks: content generation, document automation, predictive equipment maintenance, fraud detection, scoring and recommendation systems. Business effects include faster data processing by up to 80%, optimizing resources through a cloud-based consumption model and reducing operating costs by up to 40%, and improving forecast accuracy by up to 95%.

2024: Integration with Rubbles' MLOps Suite

At the FINOPOLIS 2024 Innovative Financial Technology Forum K2 NeuroTech and Rubbles demonstrated a joint solution focused on Machine Learning (ML) and data analysis. The Software and Hardware Complex (PAC) from NeuroTech K2 with the implemented software MLOps Suite from Rubbles offers corporate clients effective tools to automate analytical processes and increase the productivity of data scientists. Read more here.