Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on innovative solutions in artificial intelligence (AI). As there is a large number of startups working on a wide variety of solutions, we want to share our insights with you. This time, you will discover 5 promising knowledge representation & reasoning startups.
Heat Map: 5 Top Knowledge Representation & Reasoning Startups
Using our StartUs Insights Discovery Platform, covering 1.379.000+ startups & scaleups globally, we looked at innovation in the field of artificial intelligence. For this research, we identified 277 relevant solutions and picked 5 to showcase below. These companies were chosen based on a data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. Depending on your specific criteria, the top picks might look entirely different.
The Global Startup Heat Map below highlights 5 startups & scaleups developing innovative solutions for knowledge representation and reasoning. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 277 companies we analyzed for this specific topic.
Timbr.ai – Knowledge Graph Platform
Knowledge representation algorithms translate complex information about the world in terms that enable computers to understand and solve them. Moreover, knowledge graphs transform data into actionable knowledge for enterprise applications. Startups are exploring this field of artificial intelligence to develop more efficient solutions for businesses.
Timbr.ai is an Israeli startup that develops the timbr SQL Knowledge Graph. The platform acts on top of existing SQL (structured query language)-fluent databases and creates virtual knowledge graphs. Additionally, the solution connects seamlessly to popular data science and business intelligence tools. The platform also includes modules for graph algorithms, ontology explorer, and other modules required to manage and explore the knowledge graph.
Grakn Labs – Knowledge Engineering
As the knowledge-based economy expands, companies are generating large amounts of data in different formats. A cost-effective analysis of this data to generate actionable insights is imperative for business operations. Artificial intelligence solutions seek to amplify human intelligence to serve this purpose. Additionally, knowledge engineering emulates the way human experts judge and behave, enabling faster decision making.
British startup Grakn Labs offers knowledge engineering solutions for complex problems. The startup develops the Graql query language that provides a strong abstraction over complex relationships and low-level data constructs. The Grakn knowledge graph enables modeling domains using the entity-relationship model. Further, the solution features built-in algorithms for distributed analytics.
Recognai – Unstructured Data Analytics
Unstructured data is complex and heterogeneous; such as, for example, medical records, business documents, internal and external communications, and audio-visual content, to name a few types. Startups are working on artificial intelligence solutions that help organizations manage information overload to improve efficiency. These solutions automate customer data quality processes and make hidden data accessible.
Recognai is a Spanish startup that develops AI-based solutions for unstructured data analytics. The startup’s data science tool, biome, enables automatic classification, data extraction, and matching. The solution works with short and long texts and extracts data from tables, as well as long documents such as customer service emails or PDFs.
Skelter Labs – Conversational AI
Knowledge representation enables automated reasoning, leading to more human-like rationalizing. For this reason, knowledge representation is a popular approach for the development of conversational bots in a range of industries. Going beyond the more popular Siri and Alexa, startups are using KR to develop conversational AI for different use cases.
South Korean startup Skelter Labs offers solutions for conversational AI. The AIQ.TALK Chatbot enables businesses to deploy virtual customer service at any time. The chatbot’s natural language understanding (NLU) technology uses machine learning to reveal the structure and meaning of text. Further, the solution combines rule-and deep learning-based intent classification to build sophisticated chatbots capable of complex tasks.
Element AI – Knowledge Management
Organizations typically need to manage their knowledge channels to increase organizational efficiency and conserve knowledge within the company. Knowledge management solutions enable accumulation, storage, and sharing of knowledge within a company. Moreover, these solutions promote collaboration, optimization of training and onboarding, and faster decision making.
Element AI is a Canadian startup that provides artificial intelligence solutions for knowledge management. The Knowledge Scout platform integrates knowledge graphs and provides semantic search capabilities in unified enterprise software. Especially for the pharma sector, the solution combines knowledge from multiple data sources, best practices, and institutional knowledge to enable companies to better investigate quality deviations.
What About The Other 272 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence and enable you to achieve your goals faster. The 5 knowledge representation startups showcased above are promising examples out of 277 we analyzed for this article. To identify the most relevant solutions based on your specific criteria, get in touch.
![AI and Pharma: Discover What the Future Holds [2025 & Beyond]](https://www.startus-insights.com/wp-content/uploads/2024/11/AI-and-Pharma-SharedImg-StartUs-Insights-noresize-420x236.webp)
