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Company Details

On this page

  1. Products & Services
  2. Technology Stack
  3. Pricing
  4. Legal Details
  5. IT Activities
On this page5
  1. Products & Services
  2. Technology Stack
  3. Pricing
  4. Legal Details
  5. IT Activities

Dzeta Technologies designs and implements AI solutions for business. Our Moscow team of engineers and data scientists takes a specific business problem from data audit to a working production system. We use language models, computer vision, and classical machine learning, starting with the required result.

Products & Services

We work at the intersection of artificial intelligence, software development, and the digital transformation of business processes.

We develop and train neural networks and implement image, video, text, and speech recognition. Our work includes RAG systems for corporate data; integration of language models such as GPT, Claude, and open source LLMs into company workflows; ML pipelines for anomaly detection, forecasting, and classification; computer vision for quality control and object recognition; OCR document digitization; time series analysis; and predictive maintenance.

We design and develop software, databases, and user interfaces, including AI powered mobile apps and Telegram bots, websites and web services, and information systems for storing and processing corporate data.

We assess business needs, gather technical requirements, and prepare automation and digital transformation projects, from diagnosing existing processes to planning AI implementation.

Technology Stack

We choose tools for each project from a stack that includes technologies used in client work and a broader range for specialized scenarios.

  • Languages and frameworks: Python, FastAPI, C++
  • AI and ML: OpenAI API, GPT-4o, Claude, Gemini, LLaMA, Mistral, Qwen, vLLM, TGI, LightGBM, CatBoost, YOLOv8, RT-DETR, EfficientNet, TensorRT, ONNX Runtime
  • Data and infrastructure: PostgreSQL, vector databases (Pinecone, Weaviate, Qdrant), TimescaleDB, Apache Kafka, Apache Airflow, Prefect, Kubeflow Pipelines, DVC, MLflow, Docker, Kubernetes, Grafana
  • Mobile and desktop: React Native (iOS, Android), aiogram (Telegram bots), Qt, NCReport
  • Design: Figma (UX/UI)

The dzeta.ai website is built with Astro and TypeScript.

Pricing

We work in three formats, depending on the stage of your project.

Audit and plan. A 3–5 working day review of processes and data, resulting in an AI implementation plan with an estimate of impact and timeline. The price is calculated individually and fixed in the contract before work begins.

Pilot on client data. A 2–6 week test of the hypothesis on real client data, so the result can be verified before broader implementation. Prices start at RUB 290,000.

Production implementation. Full development and launch, including integration with existing systems. This takes 4–12 weeks. The price is calculated individually and fixed in the contract before work begins.

The final price depends on scenario complexity, the number of integrations, and data volume. We provide a firm amount after the audit and before development starts.

Legal Details

Legal name
Limited Liability Company “Dzeta Technologies” (OOO “Dzeta Technologies”)
Registered address
Premises 1/3, 15 1st Volkonsky Lane, Moscow, 127473, Russia
Taxpayer identification number (INN)
9707059090
Primary state registration number (OGRN)
1267700196862
Primary OKVED activity
62.01 “Computer software development”
Email
contact@dzeta.ai
Telephone
+7 929 818-58-10

IT Activities

Under the list approved by Russian Ministry of Digital Development Order No. 449 of 11 May 2023

1.01

Design, assessment, development, adaptation, or modification, including localization and customization, of computer programs, databases, and visual user interfaces.

1.04

Design and other activities or services related to information systems, including systems based on distributed ledger technology.

1.05

Design and other activities or services related to websites and web pages.

3.01

Creation of databases and information resources, and formation and maintenance of databases.

8.01

Assessing needs, gathering technical requirements, and preparing and implementing process automation or digital transformation projects.

10.01

Creating, training, and maintaining neural networks, and providing automatic recognition, verification, and conversion of images, video, text, speech, and other sounds.

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