Helping Companies Harness The Power Of Artificial Intelligence By Designing Tailored Ai Solutions.
ARIS - CUSTOMER SUPPORT AUTOMATION
Automate customer service with our intelligent multi-channel message inbox. ARIS builds upon the latest technologies in natural language processing to classify incoming messages, prepare responses, and perform actions automatically.
MACULA - INTELLIGENT VIDEO ANALYSIS
Macula is advanced real-time safety and security video analytics solution able to detect a wide range of safety and security events, measure business performance on a given location, and reveal customer satisfaction.
TASP - INTELLIGENT
Optimal scheduling of assets, be it employees, tools, vehicles or other resources, is a non-trivial task for humans. Transferring scheduling to machines naturally improves its efficiency and boosts schedule optimality against given criteria.
ADF - ANOMALY
Our anomaly detection framework reusable across domains such as insurance, telco, manufacturing, and others wades through big and small datasets to find unlabeled anomalies which surface in real-time on a dashboard for further exploration.
REEDEE - SMART
Fast, robust and reliable reading of personal documents from an analog to digital form. That is ReeDee’s main task. It can also check document consistency, detect fraud or read bank statements. And as a proper intelligent computer system, it is constantly evolving.
ML FDS - FRAUD
Fraud and misconduct is a daily pain of every business. We developed a modern automated solution to help you detect fraudulent events in various data and businesses, be it application fraud, insurance fraud, accounting fraud or others.
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We help companies to identify areas suitable for the application of AI, define the problem, it’s scope, best approach and data required. We are able to quickly dive into data and understand it’s quality and suitability. Then we build a proof of concept demonstrating the viability of the approach as well as the added value of a potential solution while maintaining the investment as well as the risk low. After successful validation, we deploy our engineers and deliver a production-ready software solution with a complete user interface, seamless integration with you infrastructure as well as appropriate SLAs.
Attracting top talent in AI
- Top 1% talent from the Czech Technical University (FEE, Open informatics) and other top technical universities
- Top SW engineering talent from
Oracle, Amazon, Facebook
- PhDs (Math, AI, Comp Sci) from Cambridge,
Imperial College, CTU and others
- Competition for Google in Zurich
and other Top AI Centers
I work in Blindspot because I want to tackle challenging problems with a real-world impact. Blindspot is also full of people who love what they do. With such an amazing team, I am excited about applying cutting-edge ML and AI methods to help world-leading startups push their products forward.
Jakub Smid, AI software architect
I am impressed by the quality of people that work in Blindspot. The culture is relaxed, helpful, however, everyone is extremely skilled and striving for top quality achievable. I have a chance to work closely with our clients, and design innovative solutions, which is both challenging and rewarding at the same time.
Petr Zelenka, Senior project manager
Chief Executive Officer, Co-founder
Ondrej is a former researcher in the area of applied artificial intelligence, mainly game theory, machine learning, and large-scale optimization. His main passion is discovering business opportunities addressable by the application of AI and working with talented people able to develop innovative software solutions.
Chief Technology Officer, Co-founder
Stepan is an engineer and researcher by training and entrepreneur at heart. Stepan has long-term experience in solving business problems by deploying machine learning and distributed computing to industrial applications and products. Before starting Blindspot Solutions, Stepan worked for Oracle and helped to start a company delivering software solutions for management of UAV swarms.
Chief Strategy Officer, Co-founder
Michal is a professor at the Czech Technical University in Prague with a deep knowledge in Artificial Intelligence and Machine Learning. Michal has broad experience in leading highly technical research teams and in coaching start-up leadership.