About itinai.com Team
Our teams are a diverse group of talented individuals working remotely from different corners of the world. With members proficient in seven languages, we value and embrace diversity. However, what truly unites us is our shared passion for the language of modern technology. We come together to collaborate, innovate, and harness the power of cutting-edge technology to create exceptional solutions.
Our Mission
itinai.com is a global AI lab, product incubator. We make artificial intelligence accessible, applicable, and transparent for professionals across industries. Every article, tool, and product is driven by our belief that AI should be practical, verifiable, and human-centered.
Our Global AI Teams
At itinai.com, we build AI products and launch innovation programs in collaboration with expert teams across 12 countries.
- 🇷🇺 Russia
- 🇺🇦 Ukraine
- 🇰🇿 Kazakhstan
- 🇬🇪 Georgia
- 🇦🇪 UAE
- 🇺🇸 United States
- 🇵🇭 Philippines
- 🇻🇳 Vietnam
- 🇦🇷 Argentina
- 🇪🇪 Estonia
- 🇹🇭 Thailand
- 🇩🇪 Germany
Community of AI Builders
We are not just a tech company — we’re a decentralized network of creators, researchers, and entrepreneurs. Each team contributes to building AI-driven tools, bots, content engines, and monetization models tailored to local markets.
Editorial Principles
- Trustworthiness – We cite sources, check facts, and avoid hype.
- Experience-first – Written and reviewed by domain experts.
- Human in the Loop – AI is a tool, not a replacement for judgment.
- Transparency – Author names, background, and intent are disclosed.
AI Accelerators & Product Labs
In every region, we run AI Product Accelerators — programs that help local talent and businesses turn ideas into profitable, autonomous AI-powered businesses in just weeks. We provide infrastructure, AI models, training, and monetization pipelines.
Your Global AI Accelerator Partner. Ask me, I will help you
Get Involved
Follow us, contribute insights, or propose partnerships. We welcome collaboration from researchers, writers, and product leaders passionate about building ethical, usable AI.
Our Team’s the Most Interesting Articles Picks
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Docker Unveils ‘Docker AI’: A Game-Changer for Developer Productivity with Context-Aware Automation
Docker has announced Docker AI, an AI-powered tool that aims to enhance developer productivity by offering context-specific guidance. It leverages the expertise of Docker developers worldwide to streamline development processes and provides assistance with various aspects…
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Google DeepMind Researchers Propose a Dynamic Visual Memory for Flexible Image Classification
Practical Solutions for Dynamic Image Classification Integrating Visual Memory for Adaptive Learning Deep learning models often struggle to adapt to evolving data needs. The proposed solution integrates deep neural networks with a visual memory database, allowing…
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Google DeepMind Researchers Propose RT-Affordance: A Hierarchical Method that Uses Affordances as an Intermediate Representation for Policies
Recent Advances in Robot Policy Representation Understanding Policy Representation In recent years, there have been important developments in how robots learn to make decisions. “Policy representation” refers to the different methods robots use to decide what…
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Microsoft Introduces ARTIST: A Reinforcement Learning Framework for Enhanced LLM Agentic Reasoning and Tool Use
ARTIST: Enhancing LLMs with Agentic Reasoning Transforming LLMs with ARTIST: A Business Perspective Introduction to LLMs Large Language Models (LLMs) have significantly advanced in their ability to perform complex reasoning tasks. Innovations in model architecture, scale,…
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📝 Guest Post: Build Trustworthy LLM Apps With Rapid Evaluation, Experimentation and Observability*
Galileo introduces LLM Studio, a platform that helps developers create trustworthy LLM apps by enabling rapid evaluation, experimentation, and observability. The platform addresses the challenges of holistic evaluation, rapid experimentation, and actionable observability. It offers modules…
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Essential Computer Vision Blogs and News Websites for 2025 Professionals
Key Resources for Computer Vision Enthusiasts As computer vision technology continues to advance rapidly, staying informed about the latest developments is crucial for professionals in the field. Here, we explore some of the most valuable resources…
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CT-LLM: A 2B Tiny LLM that Illustrates a Pivotal Shift Towards Prioritizing the Chinese Language in Developing LLMs
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Sigma: Changing AI Perception with Multi-Modal Semantic Segmentation through a Siamese Mamba Network for Enhanced Environmental Understanding
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MiMo-VL-7B: Advancing Visual-Language Models for AI Researchers and Developers
Vision-language models (VLMs) are revolutionizing the way artificial intelligence interacts with the world around us. They bridge the gap between visual data and language, enabling machines to interpret images, videos, and text in a cohesive manner.…
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BasedAI: A Distributed Network of Machines that Introduces Decentralized Infrastructure Capable of Integrating FHE with Any LLM Connected to Its Network
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Mistral AI Team Releases The Mistral-7B-Instruct-v0.3: An Instruct Fine-Tuned Version of the Mistral-7B-v0.3
The practical value of AI language models The field of AI involves creating systems that can perform tasks requiring human-like intelligence, such as language translation, speech recognition, and decision-making. Researchers are dedicated to developing advanced models…
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AI-generated sexually explicit material is spreading in schools
Children in the UK are using AI image generators to create indecent images of other children, according to the UK Safer Internet Centre (UKSIC). The charity has highlighted the need for immediate action to prevent the…
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Google AI Unveils MCP Server: Streamline Data Access for AI Developers and Analysts
Understanding the Target Audience The Google AI Model Context Protocol (MCP) Server is a significant advancement aimed at data scientists, AI developers, business analysts, and policymakers. These professionals often grapple with several challenges: Difficulties in accessing…
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Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR
The paper explores training End-to-End Automatic Speech Recognition (ASR) models using Federated Learning (FL) and its impact on minimizing the performance gap with centralized models. It examines adaptive optimizers, loss characteristics, model initialization, and carrying over…
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Introducing Hermes 4: Breakthrough Open-Weight AI Models with Hybrid Reasoning for Developers and Researchers
Introduction to Hermes 4 The recent launch of Hermes 4 by Nous Research marks a significant milestone in the realm of open-weight AI models. With three different parameter sizes—14B, 70B, and 405B—this family of models is…
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Press releases
Official Statement: Advancing AI-Driven Transformation in Business itinai.com – a leading artificial intelligence laboratory for enterprise solutions – announces the release of its latest resources to support global adoption of AI technologies. Designed for businesses of…