{"id":1210,"date":"2021-02-18T17:20:45","date_gmt":"2021-02-18T17:20:45","guid":{"rendered":"https:\/\/www.hpc.mk\/index.php\/trainings\/"},"modified":"2026-04-15T12:51:21","modified_gmt":"2026-04-15T10:51:21","slug":"services-provided","status":"publish","type":"page","link":"https:\/\/www.hpc.mk\/index.php\/services-provided\/","title":{"rendered":"Services"},"content":{"rendered":"\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
<\/div>\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t

Services Provided<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t

Hylosense (2025):<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t

We support Hylosense in strengthening, scaling, and operationalizing their AI-driven weather intelligence capabilities to deliver better accuracy, reliability, and business impact.
Our work focuses on enhancing the modelling and data lifecycle of their platform:
\u2022 Improve hyper-local forecasting models by introducing more advanced machine learning techniques, better feature engineering, and continuous learning approaches that adapt to dynamic environmental conditions.
\u2022 Implement robust data pipelines and MLOps practices, enabling seamless ingestion of real-time sensor data, automated retraining, monitoring, and high-performance deployment at scale.
\u2022 Support the translation of predictions into actionable insights, empowering better decision-making across energy production, trading, grid optimization, and risk mitigation.
\u2022 Help structure and integrate climate analytics and compliance frameworks, ensuring that insights are not only accurate but also auditable and aligned with industry requirements.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t

Kontron (2025):<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t

We provide mentorship to help Kontron build and scale advanced capabilities in Natural Language Processing and AI systems, from foundational concepts to cutting-edge agentic architectures.<\/p>

Our support spans the full NLP and AI lifecycle:<\/p>

\u2022 Guide teams through foundational NLP concepts and traditional methods, including text preprocessing, feature engineering, and classical techniques like TF-IDF and word embeddings.
\u2022 Enable the development of machine learning solutions for text classification, helping organizations design, train, and evaluate models for use cases such as sentiment analysis, spam detection, and document categorization.
\u2022 Help adopt modern deep learning approaches, including working with pre-trained language models (e.g., BERT, GPT), fine-tuning strategies, and advanced prompt engineering techniques.
We support the design and implementation of Retrieval-Augmented Generation (RAG) systems, allowing companies to build reliable, knowledge-aware AI solutions that reduce hallucinations and leverage internal data.
\u2022 Assist in building AI agents and multi-agent systems that can reason, plan, and act using tools, APIs, and memory, enabling more autonomous and intelligent workflows.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t

SiaSoft (2025):<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t

\u00a0<\/p>

We provide mentorship to help Kontron build and scale advanced capabilities in Natural Language Processing and AI systems, from foundational concepts to cutting-edge agentic architectures.<\/p>

Our support spans the full NLP and AI lifecycle:<\/p>

\u2022 Guide teams through foundational NLP concepts and traditional methods, including text preprocessing, feature engineering, and classical techniques like TF-IDF and word embeddings.
\u2022 Enable the development of machine learning solutions for text classification, helping organizations design, train, and evaluate models for use cases such as sentiment analysis, spam detection, and document categorization.
\u2022 Help adopt modern deep learning approaches, including working with pre-trained language models (e.g., BERT, GPT), fine-tuning strategies, and advanced prompt engineering techniques.
We support the design and implementation of Retrieval-Augmented Generation (RAG) systems, allowing companies to build reliable, knowledge-aware AI solutions that reduce hallucinations and leverage internal data.
\u2022 Assist in building AI agents and multi-agent systems that can reason, plan, and act using tools, APIs, and memory, enabling more autonomous and intelligent workflows.<\/p>

\u00a0<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t

LearnTwoHelp (2025):<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t

We provided mentorship and consulting services to help LearnTwoHelp design and build AI-powered educational platforms that leverage multimodal data orchestration for more effective and personalized learning experiences.<\/p>

Our support was focused on turning complex data into structured, intelligent learning systems:<\/p>

\u2022 Help design architectures that integrate and orchestrate multimodal data sources, including text, video, audio, images, and interactive content into a unified, scalable platform.
\u2022 Guide the development of AI-driven learning experiences, such as personalized content delivery, adaptive learning paths, and intelligent tutoring systems that respond to individual learner needs.
\u2022 Support the implementation of advanced data pipelines and orchestration frameworks, enabling efficient ingestion, processing, indexing, and retrieval of large-scale educational content.
\u2022 Help apply LLMs and multimodal models to tasks like content summarization, question answering, assessment generation, and semantic search across diverse learning materials.
\u2022 Advise on governance, quality, and ethics, including content validation, bias mitigation, data privacy (e.g., student data protection), and alignment with educational standards.<\/p>

\u00a0<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t
Open learning training portal<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t

The EuroCC project is also developing a training portal for open learning on project-related topics, such as HPC, HPDA and AI.<\/p>

The portal aims to be a central point where all interested parties can find educational materials on these topics. The portal is planned to have open courses for the general population, which anyone interested can attend at a time that suits them.<\/p>

Additionally, the portal will be used for the realization of all other educational activities in the project, such as courses for industrial partners, advanced academic courses, as well as open forums for discussion and collaboration. The portal is available at https:\/\/learn.hpc.mk\/<\/a><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Services Provided Hylosense (2025): We support Hylosense in strengthening, scaling, and operationalizing their AI-driven weather intelligence capabilities to deliver better accuracy, reliability, and business impact.Our work focuses on enhancing the modelling and data lifecycle of their platform:\u2022 Improve hyper-local forecasting models by introducing more advanced machine learning techniques, better feature engineering, and continuous learning approaches that adapt to dynamic environmental conditions.\u2022 Implement robust data pipelines and MLOps practices, enabling seamless ingestion of real-time sensor data, automated retraining, monitoring, and high-performance deployment at scale.\u2022 Support the translation of predictions into actionable insights, empowering better decision-making across energy production, trading, grid optimization, and risk mitigation.\u2022 Help structure and integrate climate analytics and compliance frameworks, ensuring that insights are not only accurate but also auditable and aligned with industry requirements. Kontron (2025): We provide mentorship to help Kontron build and scale advanced capabilities in Natural Language Processing and AI systems, from foundational concepts to cutting-edge agentic architectures. Our support spans the full NLP and AI lifecycle: \u2022 Guide teams through foundational NLP concepts and traditional methods, including text preprocessing, feature engineering, and classical techniques like TF-IDF and word embeddings.\u2022 Enable the development of machine learning solutions for text classification, helping organizations design, train, and evaluate models for use cases such as sentiment analysis, spam detection, and document categorization.\u2022 Help adopt modern deep learning approaches, including working with pre-trained language models (e.g., BERT, GPT), fine-tuning strategies, and advanced prompt engineering techniques.We support the design and implementation of Retrieval-Augmented Generation (RAG) systems, allowing companies to build reliable, knowledge-aware AI solutions that reduce hallucinations and leverage internal data.\u2022 Assist in building AI agents and multi-agent systems that can reason, plan, and act using tools, APIs, and memory, enabling more autonomous and intelligent workflows. SiaSoft (2025): \u00a0 We provide mentorship to help Kontron build and scale advanced capabilities in Natural Language Processing and AI systems, from foundational concepts to cutting-edge agentic architectures. Our support spans the full NLP and AI lifecycle: \u2022 Guide teams through foundational NLP concepts and traditional methods, including text preprocessing, feature engineering, and classical techniques like TF-IDF and word embeddings.\u2022 Enable the development of machine learning solutions for text classification, helping organizations design, train, and evaluate models for use cases such as sentiment analysis, spam detection, and document categorization.\u2022 Help adopt modern deep learning approaches, including working with pre-trained language models (e.g., BERT, GPT), fine-tuning strategies, and advanced prompt engineering techniques.We support the design and implementation of Retrieval-Augmented Generation (RAG) systems, allowing companies to build reliable, knowledge-aware AI solutions that reduce hallucinations and leverage internal data.\u2022 Assist in building AI agents and multi-agent systems that can reason, plan, and act using tools, APIs, and memory, enabling more autonomous and intelligent workflows. \u00a0 LearnTwoHelp (2025): We provided mentorship and consulting services to help LearnTwoHelp design and build AI-powered educational platforms that leverage multimodal data orchestration for more effective and personalized learning experiences. Our support was focused on turning complex data into structured, intelligent learning systems: \u2022 Help design architectures that integrate and orchestrate multimodal data sources, including text, video, audio, images, and interactive content into a unified, scalable platform.\u2022 Guide the development of AI-driven learning experiences, such as personalized content delivery, adaptive learning paths, and intelligent tutoring systems that respond to individual learner needs.\u2022 Support the implementation of advanced data pipelines and orchestration frameworks, enabling efficient ingestion, processing, indexing, and retrieval of large-scale educational content.\u2022 Help apply LLMs and multimodal models to tasks like content summarization, question answering, assessment generation, and semantic search across diverse learning materials.\u2022 Advise on governance, quality, and ethics, including content validation, bias mitigation, data privacy (e.g., student data protection), and alignment with educational standards. \u00a0 Open learning training portal The EuroCC project is also developing a training portal for open learning on project-related topics, such as HPC, HPDA and AI. The portal aims to be a central point where all interested parties can find educational materials on these topics. The portal is planned to have open courses for the general population, which anyone interested can attend at a time that suits them. Additionally, the portal will be used for the realization of all other educational activities in the project, such as courses for industrial partners, advanced academic courses, as well as open forums for discussion and collaboration. The portal is available at https:\/\/learn.hpc.mk\/<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.hpc.mk\/index.php\/wp-json\/wp\/v2\/pages\/1210"}],"collection":[{"href":"https:\/\/www.hpc.mk\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hpc.mk\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hpc.mk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hpc.mk\/index.php\/wp-json\/wp\/v2\/comments?post=1210"}],"version-history":[{"count":0,"href":"https:\/\/www.hpc.mk\/index.php\/wp-json\/wp\/v2\/pages\/1210\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.hpc.mk\/index.php\/wp-json\/wp\/v2\/media?parent=1210"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}