Partners you will work with
Pharma & biotech
• Human medicinal products
• Novel drugs
• Small molecules
• Advanced therapy medicinal products
• Value added generics
• Novel indications for known substances
• Technologies supporting drug discovery and development process
• New therapeutic targets
• API manufacturing technologies
• Drug delivery and dosage forms technologies
• Technologies improving patients’ compliance
• Digital therapeutics
• Diagnostic imaging technologies as well as other diagnostic modalities
• Point of Care in vitro diagnostics (IVD)
• Actionable biomarkers
• Technologies improving patients’ compliance
• Adverse events and complications monitoring
• Telemedicine technologies
• Medical simulation
• Sensors with applicability in med-tech space
• Specialized nutrition foods and dietary supplements
• Yield and efficiency improvements. Technology that can analyze and improve the biogas production process will aid in making plants more and more efficient.
• Stable production. Biogas can be produced from numerous different source materials and this can require economically justifiable technologies for pretreating ‘difficult substrates’ such as those that require grinding, therma-pressure treatment or the removal of contaminants.
• Automization. From collecting source materials to the final fermentation process, how much of biogas production can be streamlined and automated?
• Biogas impact. Technology can also aid in reducing the impact biogas plants have on their local environment through odor neutralization and appropriate storage methods for odorous substrates overall.
• Supporting local farms. With droughts and other issues, can technology bridge the gap between agriculture and biogas heat usage.
• Warehouse storage. A more effective approach to storing biogas substrates will optimize warehouse space, saving time and other resources.
Solar and wind farms
• New materials and technologies. We’re always looking for new solutions to generate energy from solar sources.
• Improved efficiency. Likewise, new technology can aid in improving the effectiveness of existing energy generation methods, and other operational factors in using solar cells.
• Reliability. Solar inverters and other solutions can also improve the overall efficiency and usability of photovoltaic systems.
• Predictive maintenance. Wind farms often need repairing, and predictive AI can provide cost efficient processes with minimal disruption to energy production.
• Savings. From smart and remote metering to implementing an entire smart grids, technology can help make energy consumption as cost efficient as possible.
• Automated meter reading. An area still often done manually, automation and Advanced Metering Infrastructure can bring smart utility management to the electricity, gas, heating and water utilities sector.
• Process optimization. The generation, storage, trading and distribution of both electricity and heat can be analyzed and improved at every step with the right solutions.
• AI management systems. Likewise, machine learning and big data can aid in the management of biogas, wind, and other energy sources, making them efficient across all parameters.
• Self-learning software. When it comes to providing security across industrial networks and individual workstations or devices, a self-efficient, evolving system will provide greater control across such a distributed network.
• Micro mobility and electric vehicles. Transportation, whether for long or short trips, running on greener energy sources will better serve the greater public.
• Microgrids and energy storage. Self-sufficient systems can help individual buildings or complexes in managing their own production and staying carbon-neutral.
• Production forecasting. With AI and machine learning, energy demands can be anticipated, adjusting renewable energy production and prices to match.
Smart City solutions
• Telecommunications. Can IT solutions aid communication and help companies become more efficient?
• Strategic city management. With added data-based insights, technology can also help city’s better manage their various operations.
• Administrative support. Technology also has a role to play in the administrative process, especially when it comes to making cities smart.
• More efficient utilization. Many public spaces, such as parking lots and public squares, can be better managed for the benefit of the city. Reservation systems are just one example.
• Road usage diagnosis. Innovative technology can help us examine road space and diagnosis the most appropriate decisions and actions.
• Economy sharing. Smart city solutions and apps can help companies and institutions share resources for cost-efficient results.
• Residents and sustainability. Can we help residents live more sustainable lives with new ICT platforms?
• Knowledge management. Similarly, new e-services and online tools can help in building and maintaining knowledge in this area.
• Building automation. With smart software, optimal energy management and other improvements can be introduced to every new construction.
• IoT & energy consumption. Can technology and the wider IoT help us in lowering consumption and costs, leading to better quality of life?
• Advanced sensors. With wireless communication, can we collect more data via advanced sensors?
• Data technologies New solutions will also be needed to efficiently collect, store and process the insights gathered.
• Plant and insect ecosystems. Wildlife is important in cities, so technology that can support these ecosystems in urban spaces will be of great help.
• Electronic communication. How can new technology such as e-prescriptions, e-diagnosis tools and the wider world of telemedicine be effective introduced to patients?
• Citizen health and welfare. Electronic platforms have plenty of potential to gather data, exchange information with patients via machine learning and more, helping to optimize individual health greatly.
• Automated communication. Can mobile and digital solutions enable patients to better talk and get support from their health facilities?
• Diagnosis and drug distribution. Automation stands to improve much of these manual processes, providing faster and more efficient results.
• Medical data. New technology can securely aid in storing, managing and distributing medical information.
• Deployable support in lockdown situations. During pandemics and other events, technology is needed to provide swift, effective solutions during lockdowns, when traditional approaches aren’t viable.
• Elderly-focused services. Technology can help elderly citizens to live better lives, by providing long term solutions with remote applications.
• Scalable health care. As adults get older, new solutions can adapt and grow with their needs.
• Chronic disease treatment. For frequent illnesses, more effective solutions will be more affordable and cost-effective in the long run.
• Monitoring systems. Both the elderly and the chronically ill can benefit from constant monitoring of key health parameters to aid in their quality of life.
• Genome-based solutions. With more genetic-level knowledge, can use technology to move towards more personalized medicines and treatments?
• Deception technology is a category of cyber security defense. Deception technology products can detect, analyze, and defend against zero-day and advanced attacks, often in real time.
• Open-source intelligence. With more and more public data available, can we develop Open source intelligence software and techniques (OSINT) to aid in security?
• Identity management. Authenticating individuals and their respective access is essential for ensuring security, especially in regards to data privacy.
• Infrastructure security. Infrastructure hardening solutions can ensure every point in the system is secure, eliminating weak links.
• Data management. Better security in regards to data access, management and monitoring will help keep information as secure as possible.
• IoT security management. These devices also require a scalable, effective solution to manage and implement security features.
• Cloud security. With more and more infrastructure moving to private and public clouds, there’s a growing need for platform agnostic security solution.
Quantum cryptography and quantum computing
Quantum computing has been rumoured for a few years now; we’re ready to see some critical applications in action. Specifically, the vast potential of quantum cryptography can usher in the next stage in secure communications.
Machine Learning, Deep Learning & AI
• Voice recognition. With a better ability to understand vocal sounds, we can implement voice data classification and recognition systems.
• Free text data analysis. The ability to read volumes of raw text and classify the data held within will enable AI solutions to operate with even more information.
• Image and streaming processing. With advanced image and data recognition, the ability to process images and gain insights will also help AI and machine learning to do even more.
• Data modelling and classification. From finance trends and predictive maintenance to energy forecasts, there are plenty of opportunities for data modelling to shine.
• Environmental perception. With AI and machine learning, behavioural modelling can also help us understand how individuals view situations.
• Time series based analysis. A more efficient analysis of time-based data sets will also help in modelling and classification.
• Data conversion into text data. The ability to convert data types into formattable text will aid in classification and allow systems to work with a wider range of information.
• Fact analysis. By helping machines to analyse facts, we can begin to predict the possible resolutions of administrative proceedings.
• Drones and automation. The increasing availability of drone technology gives businesses the ability to better automate a range of processes.
• Microsensors and optics. Smaller sensors are easier to fit and can introduce data collection to entirely new areas, especially with optical solutions.
• Edge computing. By steering traffic and data flow towards edge server locations, we can make processes and reactions as fast as possible.
• Time-series edge processing. Likewise, combing edge computing with time-series data will allow for the fastest and most reactive solutions.
• Payment areas. Giving users better and simpler means to pay will help connect the wider payment and banking industry with blockchain.
• Smart contracts. We’re also looking for the best practical use cases for smart contracts, showcasing situations where their benefits really stand out.
• Blockchain networks. Likewise, blockchain networks have lots of uses in various industries, such as fintech, energytech and healthcare. We’re looking for the best practical use cases.
• Distributed apps. Where else can distributed networking shine? What are the next apps to run on such technology?
• Innovative cashless payments. With PSD2, cryptocurrency and biometric payment systems, we’re looking for the next new cashless payment solutions, or most impactful improvements to existing options.
• Security. Cryptocurrency is often seed as a secure value carrier, but we’re also looking for solutions that increase the security of transactions through smart contracts and other electronic money circulation processes.
• Mobile payment solutions. Cashless payments and mobile go hand in hand, but we also need to be highly secure, especially in regards to acceptance.
• Payment system universalization. How can we introduce a payment system to benefit an entire community? We’re looking for seamless solutions that use the likes of beacons, context-based options and pay-by-token solutions.
• Smart payments models. We’re also seeking the next secure smart payment system that still offers universal access.
• Terminal software. Whether it’s an android device or a PoS terminal, there’s a need for new payment software to keep up with the new innovations.
Retail and hospitality
• Smart software systems. How can we introduce, or even improve existing solutions with, smart and innovative software?
• Improved hardware. Alongside software, new hardware such as cash registers, PoS systems and autonomous self-service technologies can enable new store and service concepts.
Fintech (including Insurtech) – solution based on big data processing, covering digital distribution and customer service channels, new interactions with clients.
The fintech world is always looking for better big data processing to help with everything from digital distribution to interacting with clients and the wider customer service channels.
• Advanced pricing methods. We want to see how the many forms of big data, such as behavioral analysis, can help companies adapt their pricing.
• Cross-selling initiatives. With more data, can we use insights to better sell to the same customers and clients?
• Customer loyalty and engagement. Can big data help us discover why customers engage with us, and use this knowledge to ensure their continued support?
• Incident predictions. The insurtech space in particular is looking for new data insights to help predict potential incidents to better help their coverage policies.
• Better business management and process efficiency. With more information, we want to implement improvements to all areas of management and operation.
Digital service channels and process digitalisation
Insurance processes are in dire need of an upgrade. Still often relying on analogue means, we’re looking for solutions to bring the industry to a digital standard.
• Digitalizing and automating processes. With the right technology, lengthy manual work can not only be more efficient, but much faster.
• Self-service processes. Automation can also be used to enable the customer through self-explanatory systems.
• Sales process simplification. Can this technology also be used to streamline the complex sales process before every policy? We want to see it.
• Secure authentication. Insurance still relies on documentation. How can we digitalize this to be even more secure when authenticating files and people alike?
• Alternative distribution channels. With digitalization, we are open to finding new channels alongside writers, wholesalers, agencies and brokers.
• Supporting car drivers in daily life. By bringing elements of the digital world to drivers, we can improve their education, car servicing, overall safety and more.
• Improved efficiency. When we integrate big data with digitalized processes, we open the insurance world to even greater levels of effectiveness.
• Employee retention and recruitment. Another key area where automated, digital processes can provide a faster and more effective answer.
Digitalization, big data and integrations also enable insurance companies to make use of entire new channels and interactions with both existing and new customers.
• Evolving needs. As the requirements from individuals and businesses alike change, the need for adaptive, tailored digital solutions only grows.
• Addressing new market segments. Can Fintech use digitalized to reach new audiences, establish new relations across entirely new touchpoints.
• Additional services. Fintech and insurtech can both use digital channels and platforms to provide entire new offers and products.
• Proactive insurance. Can data and digitalization even help prevent incidents in the first place through advanced analytics?
• What type of new sale and service interactions can we design with the synergy of traditional sales network (agents, branches) and modern insurtech technologies? What tools can help us build a hybrid approach to the client in the spirit of phygital?
Telemedicine and Telecare
Recent events have only pushed the need for remote healthcare. Digital technology is now in a position to support patients and doctors, even when they’re not in the same room.
• Remote and self-diagnostics. Can we enable patients to work with diagnostic tools on their own? Doing so can make the interactions between doctor and patient all the more effective.
• Remote disease prevention and treatment. With enough information, AI can prevent future outbreaks and respond rapidly with treatments when the worst does happen.
• Remote patient monitoring. For those with chronic diseases, remote telecare can meet their needs without restricting them to hospitals or healthcare facilities.
• New distribution channels. Are there more ways to reach patients remotely and make telemedicine services even more accessible?
• Better diagnostics. Once digitalized, can we make the diagnosis process simpler, faster and more efficient overall?
Medical Center Care:
There will still be times when people need to visit medical centers, and technology still has a strong role to play in improving the quality and effectiveness of this process.
• Boosting service quality. With AI, automation and more digital potential, what’s the next step in improving the overall service quality of our medical centers?
• Staff enablement. What tools can we introduce to better help our doctors and medical staff in aiding patients more effectively?
• Diagnostic improvements. Such data and AI solutions can also be used to improve the diagnostic and wider patient service process.
• Daily healthcare needs. Digital solutions can also support our patients in enabling their own daily healthcare, improving their overall condition as a result.
• Stress management. Patients can often feel scared or stressed during the medical service process. How we can help relieve or otherwise react to this?
We are looking for highly scalable telehealth solutions to improve every step of the treatment process.
• Improved self-diagnostics. With a greater emphasis on remote usability, technology can help enable telehealth to do more for patients.
• Remote patient monitoring. For those with chronic disease or recurring injuries, advanced solutions can aid them in remote monitoring and treatment, preventing in-person visits as much as possible.
• Elderly needs. Older patients often have more complicated needs. Technology can help anticipate, adapt and react more, improving their overall condition more rapidly.
• Improved diagnosis and therapy. Both processes can be made faster and simpler. Doing so wouldn’t only be more efficient; it would also be much less stressful for patients.
• AI diagnosis and treatment. With enough information, AI can help in making informed decisions to aid patients.
Regression Testing / Test automation
• Challenge: After adding a new functionality, we run automatic tests to check whether it will have a negative impact on the operation of the entire system (looking for errors). Currently, some tests are carried out manually by testers, which is costly and generates overtime.
• Looking for: We’re looking for a tool that will automate the creation and execution of tests during the development stage (interface tests).
The complaint process robot
• Challenge: In the time when the bank is launching new products and digital services, also new types of complaints are filed with the bank on a daily basis. Nowadays the bank’s employees need to process thousands of complaints each month, some of which have to be resolved in only 24 hours. In this process employees need to gather data from different sources (bank systems) which will allow them to resolve the complaints. The process is often complex and time-consuming, thus we would like to seek help of startup’s technology.
• Looking for: A robot deriving data from different systems to process complaints at the bank. It will derive all the data needed to process a complaint.
New segmentation / Data analysis
• Challenge: How to create new customer segments by looking for new approaches to segmentation and grouping of customers (e.g. behavior, motivations)
• Goal: We are looking for a technology or company that will help us track relevant data enabling new segmentation. A solution that allows you to aggregate selected data and create a new way of segmenting customers or performs such segmentation itself based on specific factors. We are primarily interested in testing new approaches to “segmentation”, particularly interesting is smooth segmentation (without assigning customers to segments permanently) and contextual segmentation (customer journey between segments depending on the context) or non-obvious segmentations or new segments and ways of working with customers for specific financial products (e.g. loans).
Documents archiving process
Finances are typically complicated and this gets in the way of financial health. Technologies that can simplify, streamline or even automated key areas will provide an immediate benefit.
• Challenge: The employees of bank branches and bank agencies need to send all signed documents to the bank’s central archive. Each document can be identified with a unique number and a barcode. Many facilities do not have access to devices enabling them to scan these barcodes. However all employees use mobile phones which could be used for the same purpose.
• Looking for: A mobile app – a scanner of documents and barcodes which would be used by employees of bank branches and agencies. Each time they are to send a set of documents to the bank’s central archive, they should scan the documents for identification and digital backup purposes. The app should read the barcodes, check the quality of archived documents and pass them to the bank’s digital archiving systems.
ESG: Carbon footprint
• Challenge: Both retail and business clients of the bank have limited knowledge about their environmental impact and carbon footprint. They need support in changing their habits and remodeling the way they work in order to become more eco-friendly. Furthermore, more and more of business clients will have to start reporting their emissions soon and they are prepared for it in a poor way.
• Looking for: Various digital solutions raising awareness of carbon footprint and environmental impact. Carbon footprint calculators (both of the lifestyle and performed transactions) and tools aiming to reduce and offset the CO2 impact on the planet. Digital advisory functionalities supporting the pursuit of climate neutrality of companies.
Retail & Shopping
• Autonomous stores. New technologies can give customers the ability to check-in, check-out and make payments all on their own, supported by smart access control customer verification and other advanced solutions.
• Indoor navigation. Digital tools can likewise help customers find their way around a store, as well assist in wider staff support needs.
• In-store customer journeys. With advanced data recording and analysis, companies can better understand the in-store pathing and purchase decisions that influence their business.
• Fraud prevention. Smart technology can also learn and identify fraudulent behaviours, leading to a greater proactive, preventative approach.
• Interactive digital signage. With digital displays, as well as AI and AR, greater personalization and interactions can be introduced into any store.
• Solutions for comprehensive management of batteries of non-combustion vehicles in accordance with the Polish regulatory system
• Innovative solutions that activate customers and increase their engagement to completely realize the benefits of the product or services
• Systems for identifying the human nutritional profile and recommending matching food products & solution
Position ourselves on high grow markets
• Addressing new market segments. Can Fintech and customer identification solutions support us in reaching new markets and audiences?
• Smart Cities and Smart Houses. How can we better assist and enable to construction of smart buildings and wider, smart infrastructure?
• Cross-selling initiatives. With more data, we can identify new opportunities and sell wider, complete solutions for both existing and future customers.
• Market intelligence. Can we also predict new industry developments and better adapt our strategy with this advanced knowledge?
Solution-oriented, driven by sustainability and performance
• Smart and eco packaging. Can smarter designers, enabled by automation technology, enable the development of more sustainable packaging?
• Robots and automation. Can such automation further improve the entire production process to give us an innovative advantage?
• Knowledge management systems. Advanced line tools can be designed and implemented to be more accessible for users, giving them greater ability to manage e-systems
• Returnable packaging. Through cooperation with carriers, customers and suppliers, can technology support a closed loop where packaging is returned for reuse or recycling?
• Customer expectations and sustainability. Our customers expect sustainable products, services and solutions. We’re looking for any innovative startup that can help us in this goal.
Strengthen our tec culture with trust empowerment collaboration
• One inclusive system. We want to support our teams with a new, cohesive system combining all our existing solutions, and supporting remote work.
• TEC motivation. We’re also looking for a fully customizable solution to grow our Trust Empowerment Collaboration (TEC) system.
• New work expectations. With mixed teams and other changes to today’s work place, we’re looking for any innovations that better meet today’s expectations and needs.
• Change fatigue. Can we also provide such systems to both identify fatigue and help those receive the relevant care they need?
• Cross-functional support. With cross-functional and co-creative project management teams, we likewise need the tools and technologies to support such projects form start to finish.
• Diversity and inclusivity. Can technology also be used to help diversity, especially in the areas of raising awareness and ensuring inclusion?
• VUCA resilience. Volatility, uncertainty, complexity, and ambiguity (VOCA) represent some of the most unpredictable elements in production or, indeed, any project. We want to use smart technologies to become resilient and adaptive to such influential factors.
How can we use data to better enable customers, build loyalty and develop advantageous partnerships?
Customer-centric business models rely on a lot of information to succeed. By focusing on individual needs, companies can better satisfy clients, build their loyalty and ultimately improve the entire sales process for both sides. In return, these happy clients then feed even more data into the machine, leading to a constant process of improvement.
This is why our partner Saint-Gobain is looking for innovative startups that will:
• Implement smart API systems to exchange data between e-commere customers and internal platforms.
• Develop solutions to provide advanced knowledge on market trends, customer needs and potential new services worth developing.
• Provide the tools to improve customer loyalty and engagement by adapting to their habits and needs.
• Streamline the sales process with the use of multi-source data, while still keeping it simple and human-friendly.
• Enable sales teams to target on individual needs, leading to fully customized solutions.
ESG Decisions and Actions
Environmental, Social, and Governance values are more important than ever. In 2020, it grew at its highest rate among some of the world’s largest companies, and even 18% of small to medium sized firms have ESG values in place.
Along with a greater environmental need, 76% of customers are willing to end cooperation with businesses that don’t have such initiatives in place, making it one today’s most pressing commercial requirements.
This is why our partner Saint-Gobain is looking for innovative startups that will:
• Provide new ideas and solutions for heat recovery and water preservation methods.
• Develop solutions to improve ergonomy on in offices and other industrial workplaces.
• Implement user-friendly remote applications to help experienced employees manage more complicated tasks with ease.
• Help us in raising awareness, knowledge and even ownership of ecological initiatives.
• Enable us to become more ‘glocal’, combining wider business with societal needs at a local level.
The UNIMOT Group is the largest Polish independent fuel and energy group. Its multienergy offer includes: diesel oil (ON), gasoline, biofuels (Bio), liquid gas (LPG), natural gas (incl. LNG), as well as electricity. UNIMOT is a member of AVIA International – an association of over 3200 petrol stations in Europe. Under the AVIA brand, UNIMOT develops a network of petrol stations in Poland. From June 2020, the UNIMOT Group offers photovoltaic panels under the AVIA Solar brand. In July 2021, the company launched an inhouse production line of Polish photovoltaic panels in the plant of PZL Sędziszów. Activity of UNIMOT Group is based on 30 years of experience. From March 2017, the company is listed on the Warsaw Stock Exchange