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AI Technologies

We have rich experience in using a variety of technologies to design, implement and deploy AI solutions, using both open-source and commercial tools, libraries and frameworks.

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Core Technologies

LLMs

OpenAI, Meta Llama, Mistral, Anthropic Claude, Google Gemini, Microsoft Copilot, Microsoft Phi SLM. HuggingFace, GritLM

AI/ML frameworks and tools

LangChain, LlamaIndex, LangSmith, TensorFlow, PyTorch, Semantic Kernel, Hugging Face, FAISS, ONNX, Azure AI, Microsoft ML

Vector databases

Qdrant, Pgvector, Elasticsearch, Azure AI Search, Cosmos DB

Chatbot tools

Microsoft Copilot, Microsoft Bot framework, Botpress

Search solutions

Elasticsearch, Azure Search

Technology Stack

Besides the technologies specific to the AI domain, our technology stack includes:

Front-end and back-end frameworks

Streamlit, React, Angular, Blazor, NextJS, Bootstrap, Vue.js

Relational and document databases

ArniaDB, MS SQL Server, Oracle, Azure Cosmos DB, PostgreSQL, MySQL, MariaDB

Graph databases

ArniaDB, Neo4j

e-Commerce frameworks

Magento/Adobe Commerce, Shopify

Why Us

Our engineers are skilled in using multiple programming languages: Python, C/C++, .NET/C#, Java, JavaScript/TypeScript.

We develop solutions that integrate various cloud services, such as: Azure AI, Amazon CodeWhisperer, Amazon SageMaker, Amazon Bedrock, Amazon Q, but we also do on-premises implementations.

QA/Testing

For testing and quality assurance activities we use a variety of tools and frameworks which cover both the “classic” test landscape and the specific AI testing domain. We use:

Test management tools

Jira, TestRail, Azure Test Plans

Cypress, Selenium, Appium, JUnit, NUnit, Mockup libraries, Intellicode, SoapUI

OWASP tools, SonarQube, Zed, Arachni, ZAP

JMeter, gatling, LoadRunner

ESLint, Wave

Jenkins, Azure DevOps, AWS CodePipeline, GitHub Actions

LangChain evaluators, promptfoo, GuardRails, BenchLLM, PromptFlow, EutoEvals, Ragas and others.

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Project Management

We are naturally Agile. We combine and adapt Agile elements and rituals to the specific project needs. We adapt the Agile principles to each project’s unique circumstances.

We use Scrumban as a methodology that integrates Scrum with the customer-centricity and efficiency of Kanban.

We use Jira, Confluence, Microsoft Project, Azure Boards and Trello as our preferred project management tools.

GenAI in Testing

We have added GenAI capabilities to our project tools belt – we use GenAI for:

  • Summarization
  • Real-time language translation in multi-national team environments
  • Planning and forecasting
  • Automated test cases creation
  • Review activities
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