AWS AI Challenge - Finalists
25 January 2021·8 min read

Jakub Kopera

Community Builder, Vestbee

AWS AI Challenge - Meet Top Innovative AI Solutions

We proudly present you the most innovative AI companies singled out in the first edition of AWS AI Challenge organized by Vestbee in partnership with Amazon Web Services (AWS). This AI business-oriented program aims to put the spotlight on innovative AI startups and help them with product and business development. Let’s explore the finalists and their Artificial Intelligence solutions responding to real business problems!

Typless

Founded in Slovenia, Typless is a 3-year-old company using AI data extraction in working with documents. The solution reads information from every invoice no matter if it has a scan, photo, or email format. The separated data are automatically moved to the company’s internal database system. Thanks to Typless entrepreneurs can reduce the time spent on loading data from the documents and avoid the risk of making mistakes.

 Ada.place

Polish startup, Ada.place is an innovative Saas solution in the real estate market. They use AI & Big Data to get to know better potential customers. Ada.place is a perfect solution for both real estate agents and their clients because it grows sales and in the same time help to make smarter decisions. The software is based on machine learning which analyzes properties, automates the first contact with prospective clients and tracks all crucial information from the real estate market.

Artificial Intelligence Expert 

Artificial Intelligence Expert is a 3-year-old, biotechnology startup from Romania. It provides solutions for the non-invasive multi-cancer diagnosis and early detection tests. Unfortunately, current solutions and tools are associated with a long process and many inconveniences and even after that, the effects of treatment can be disappointing. AIE uses circulating microRNAs, and  AI algorithms in molecular data analysis, which enable early diagnosis for 13 types of cancers with more than 99% accuracy. This pioneering solution could save thousands of lives and revolutionize cancer treatment.

Banacha Street

Banacha Street is the next polish company using AI and alternative data in developing the decision-making process. Currently, many research companies have problems with information overload, identifying the most relevant model factors and finding a meaningful combination of entities and events. Banacha Street solution collects data with integration of their sources, uses machine learning that provides a set of insights into the requested area, and offers Insight Search Engine which allows formulating any query. That enables to find already-processed data and analyses, which increases time-efficiency and reduces costs of researches. 

DABBEL

Germany-based DABBEL is a young and innovative Saas company that uses AI to reduce building’s heating, ventilation, and air conditioning energy consumption and CO₂ emissions by up to 40%. Currently, many office buildings have outdated software that controls the sanitary engineering of the building. This is very ineffective because of the high electricity costs generation while having a negative impact on the environment. DABBEL solves these problems with AI-driven software that updates classic and outdated building management systems. Monitoring systems using the cloud allows working more ergonomically, costs reduction, and impacts the environment in a positive way. 

EPIDEMIC

EPIDEMIC is a strong developing company using AI and machine learning in social media marketing. Nowadays, influencers are very popular and their activities are a great marketing strategy for building a well-recognizable image of the product brand. However, it is really challenging and time-consuming to find an influencer that fits the vision of the company, its future goals and marketing strategy. In this case Epidemic is the answer - it provides a social media search engine that allows face recognition and label detection with defining influencer profile, age, emotions, and posting content. It brings great value enabling marketing managers to cooperate with influencers and implement effective campaigns based on word-of-mouth online marketing.

GREYCORTEX

GREYCORTEX is a company from the Czech Republic providing cybersecurity solutions. Owners of high-value assets, protected information, or customer databases are vulnerable to hacking attacks. This AI-based platform integrates different sources, taxonomies, and standards from sharing platforms into one unified. It enables analyzing the existing data and sharing them more safely. The solution brings new value to the cybersecurity market and is already appreciated by plenty of satisfied customers.

Hooklabs

Zurich- based Hooklabs is the representative of the fintech sector that uses quantitative methods emerging market’ investments. It focuses on quantitative trading, asset management, and payment infrastructure. Hooklabs uses data and machine learning to develop proprietary systematic strategies for high volatile markets. The solution has the potential to increase future profits and develop new markets. It may attract many investors due to the fact that data analysis and unlimited scope of information allow them to make optimal decisions and reduce information asymmetry.

LingvaNex

LingvaNex is a strong developing scaleup from Ukraine which uses artificial intelligence in language translation. They provide something more than a traditional solution - an applications ecosystem delivering high-quality text translation, as well as scanned documents, voice messages on 17 platforms. Machine learning automatically detects the type of a file and the right tool for the language pair and specific domain to ensure the highest quality of its service for the end-user.

Reengen 

Reengen provides an energy IoT Platform as a Service solution. It’s an AI cloud-based analytics service for commercial buildings, industrial facilities, and renewable energy plants. Reengen enables tracking conditions of energy assets, monitoring the performance of facilities, and notice data-driven information. It can help diminish costs of energy up to 15% and increase operational efficiency up to 60%. 

Sharewell

Estonian startup Sharewell is a machine learning-based software for product tasting using by software developers and designers. Product development is a long process mostly because of potential customers’ feedback indicating necessary changes and time spent on making the final decision. Sharewell uses artificial intelligence in order to test products with real users and receive maximum information on their opinions and requirements. The solution makes the process easier and brings great value for developers by indicating the best way for product development that should be followed.

SpexAI

German-based SpexAI is an artificial intelligence software and hardware solution for cannabis producers. The hardware is a lens with multispectral sensors, which monitor cannabis plants during their growth process. The AI-based software is constantly learning and acquiring a new information system. SpexAI delivers certain information about the level of cannabinoid during growth and can predict future fluctuations. Thanks to that producers can grow plants more efficiently with new knowledge about the products. It helps to decrease risks and enables to achieve higher profits.

Sternkraft

Sternkraft is Polish-German company using AI to increase the security of trucks and vans in logistics and transport companies. Transportation is a complex process, during which unexpected problems may arise, such as attacks, truck overturning, or delays. Sternkraft solves these issues by monitoring and defending cargo. They use a special camera and computer vision algorithms against the non-authorized cargo movements or damages. Improving the security in logistics and transportation could decrease the unnecessary risk and losses.

HyperCaire

German-based HyperCaire is a healthcare & medtech startup providing innovation in these industries for the global market. The aging process is a common phenomenon observed in many societies in the world. It is imperative to introduce more effective and innovative working methods in healthcare to accommodate the growing number of patients and to reduce costs. HyperCaire uses a voice dialogue interface and camera Computer Vision detecting actions automatically. It helps to understand the current situation of the patient and enable to support or warn in different manners

Uhura Solutions

Uhura Solutions is a two-year-old, fintech startup from the United Kingdom. They are improving the processing of contracts and agreements. Manual work is a time-consuming, ineffective, and cost-generating task. Cutting-edge AI, i.a. image and natural language processing technology enables to extract key data points from documents and review them automatically. Thanks to Uhura Solutions the handling and sorting of huge amounts of data becomes quick and easy while giving a chance to increase effectiveness.

Xvision

Romanian medtech startup Xvision uses artificial intelligence to improve the treatment process and save the doctor’s precious time by analyzing medical images. Currently, the new medical technologies allow generating X-rays, CTs, and MRIs easier and faster. As a result, there is substantial growth in radiograph technology, but the capacity of medical workers is not improving at such a pace, which extends the treatment process. XVision solution enables automated diagnostics based on constantly improving AI algorithms, so the results are reliable what increases the efficiency of doctors' work and shortens the treatment time.

Nordigen

Riga-based Nordigen is a 4-year-old, fintech scaleup helping in building smarter open banking applications. Typically, a credit decision is a long process including high-quality data on the loan applicant’s income, liabilities, and other risk factors. Nordigen created advanced analytics and machine learning systems based on the top of enriched open banking data and predictive modeling. The solution allows us to significantly increase approval rates of credit applications, tackle loan frauds, and improve the precision of scoring models.

 

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