Tech firm launches tender for AI gambling risk diagnosis
Contract seeks ML and AI expertise to build technology that assesses gambling addiction risk on digital platforms, highlighting data-driven approaches to social harms.
Contract seeks ML and AI expertise to build technology that assesses gambling addiction risk on digital platforms, highlighting data-driven approaches to social harms.
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An R&D contract from INCUBLY.HUB Spółka z ograniczoną odpowiedzialnością aims to recruit a machine learning and AI expert to develop technology that automatically diagnoses gambling addiction risk on online platforms. Working with a specialised research team through defined project stages, the role shows how data-driven tools are being built to tackle social harms as well as industrial and administrative challenges.
On 23rd October 2026, INCUBLY.HUB Spółka z ograniczoną odpowiedzialnością published a contract notice for ML/AI Expert Services for Gambling Risk Diagnosis. The project seeks an ML/AI Expert to provide research and development services for creating technology that automatically diagnoses gambling addiction risk among users of gambling platforms.
The contract is framed as research and development rather than procurement of a finished product. The successful expert will be expected to help create new technology, collaborate with a specialised research team and work through specific project stages. That structure suggests a deliberate attempt to turn early‑stage ideas about gambling risk into a usable diagnostic system.
Because the work focuses on diagnosing gambling addiction risk, any resulting technology will be concerned with identifying users at higher risk than others. Although the notice does not yet set out the data sources, modelling techniques or performance targets, it clearly positions automatic risk assessment as a core research outcome and links it to a broader programme of interdisciplinary work.
The insistence on collaboration with a specialised research team fits a wider pattern in current AI procurements, where machine learning specialists are embedded in multidisciplinary projects rather than left to work alone.
In September 2026, RUNFLAIR Sp. z o.o. launched Research Service for Innovative Training System, seeking research services to develop and optimise machine learning and AI algorithms for an innovative training programming system in close collaboration with its own team. On 7th October 2026, Ubot Technologies Sp. z o.o. issued Development of Causal Diagnosis System, covering measurement electronics, data infrastructure, machine learning model training and integration with a physical machine.
A similar approach appears in health‑related projects. On 22nd September 2026, SIDLY SP. Z O.O. advertised AI and Machine Learning Specialist Services to develop and optimise algorithms for medical data analysis, design AI models and work with Python developers in Warsaw, Poland. On 3rd November 2026, CENTRUM ZDROWIA LA VIE spółka z ograniczoną odpowiedzialnością sought Research Services in Radiology, recruiting two radiologists to annotate DICOM images for an AI tool for radiological diagnostics.
In each case, AI specialists operate alongside domain experts – trainers, engineers, doctors or radiologists. INCUBLY.HUB’s search for an ML/AI Expert who will work with a specialised research team follows the same logic: the gambling risk diagnosis system is being treated as a joint endeavour between data science and subject‑matter knowledge.
Risk management is a prominent theme across other recent notices. On 30th October 2026, IDENTT Sp. z o.o. published Data Scientist for eKYC and AML, seeking a Data Scientist to develop solutions for detecting attacks on customer verification processes and counteracting money laundering using advanced data analysis and machine learning. On 29th September 2026, AI Investments Spółka z Ograniczoną Odpowiedzialnością issued Evaluation and Testing for Machine Learning Models under the GUARD project, focused on a neutral portfolio model for options and spot instruments with dynamic rebalancing.
Authenticity is another area where AI is being pushed hard. On 19th October 2026, AIDWAVE S.A. released a contract notice for Research and Development Services to create a system that uses artificial intelligence and advanced image analysis to assess the authenticity of signatures and artworks, with work centred on developing and validating image analysis methods and algorithms.
Behavioural applications are emerging too. On 16th October 2026, Mr Receipt spółka z ograniczoną odpowiedzialnością went to market with Research for AI Chat Knowledge Base, a project to build a knowledge base for an AI Assistant in the PanParagon application that will motivate users to adopt healthier and more eco‑friendly shopping behaviours based on specific psychological mechanisms and product classifications. Set alongside INCUBLY.HUB’s focus on gambling addiction risk, it shows AI being used both to interpret behaviour and to influence it.
Behind these sector‑specific tools sits a layer of AI infrastructure. On 12th August 2026, govdigital eG issued AI Development Services, seeking comprehensive AI software development for public administration – from conception and integration to quality assurance – with a clear focus on compliance and risk management. On 23rd October 2026, WEBSENSA Spółka z ograniczoną odpowiedzialnością published Research and Development Contractor Selection for R&D on an adaptive conversational AI architecture that integrates multiple components for improved performance and efficiency.
Some procurements focus on the nuts and bolts. On 29th October 2026, Abego S.C. Radosław Czeczotka, Rafał Socha advertised Delivery of GitLab and AI Servers, seeking two servers to support research and development on an innovative heating controller algorithm. The same day, PROMEDHEUS Sp z o.o. launched Software Subscription for R&D AI Solutions, covering ten licences for tools that support IT solution development and data analysis with AI functions. Earlier, on 19th October 2026, M4B S.A set out R&D Work in Embedded Systems, an EU‑co‑financed project on embedded systems, digital audio signal processing and intercom integration.
Skills development is rising up the agenda as well. On 30th October 2026, Centrum Rozwoju Społeczno‑Ekonomicznego issued AI Specialist Training and Catering Services for three participants to become Artificial Intelligence Specialists in the Office, including trainers, materials, facilities, accident insurance, training in Ukrainian and catering. Two days later, S.T.R Project Stanisław Romaniszyn advertised Office Worker Training with AI, a 104‑hour course on AI and digital tools. Alongside these, the AGH University of Science and Technology’s 12th October 2026 call for Research Service for AI Specialist in explainable AI models for manufacturing underlines how universities are also building specialist capacity.
Across these notices, buyers are no longer treating AI as a generic add‑on. They are commissioning tightly defined research programmes that pair machine learning expertise with domain knowledge, specialised infrastructure and targeted training. INCUBLY.HUB’s ML/AI Expert Services for Gambling Risk Diagnosis fits this pattern, but stands out for its focus on gambling addiction risk – an area where expectations of accountability and transparency are high.
As the gambling risk diagnosis project moves through its specified stages, key questions will be how the ML/AI expert and the specialised research team share responsibilities, how the technology’s performance is assessed and how easily it can be adapted across different gambling platforms. Future procurement documents and project results will show whether this R&D‑driven approach can translate advanced machine learning into tools that meaningfully help to identify harm.
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