Company
We are revolutionising AI by democratising its use and improving trust
Discover AyGLOO
MISSION
Our mission is to help to improve decision-making and reduce the time taken to reach conclusions, giving confidence and facilitating the use of AI beyond data scientists.
Currently, the interpretation of results in AI is complex due to the fact that the more precise models are not interpretable, they require time and are dependent on technicians to interpret them. Furthermore, the analyses are rigid and do not allow variables outside of the model.
UNIQUE VALUE PROPOSAL
The alternatives to AyGLOO:
Intuitive explainable AI solutions
Non-intuitive explainable AI solutions
• Implement partial explainable AI solutions with irrelevant results for decision-making and that are highly dependent on technicians.
Team
Ignacio Gutiérrez Peña
Founder and CEO
CEO – HP, SAP, SAS Institute.
Jose Pablo de Pedro
Investor
Founder of Realtech, CEO Techedge.
Edoardo Narduzzi
Investor
Founder of Techedge, Founder and CEO Mashfrog.
Silvia Leal
Investor
We are AyGLOO
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Our story
In 2018, a group of professionals with a wealth of experience in Machine Learning, Deep Learning and advanced analytics projects joined forces to create a highly innovative project of the automation of processes applying NLP techniques.
The project was a resounding success and several other NLP projects followed on from this, although each one was a greater challenge, which has given us a distinguishing ability to tackle any project in this field, no matter how innovative it may seem.
In April 2021, the same team founded AyGLOO with the intention of establishing ourselves as a company and incorporating a much needed Explainable AI product on the market.
We have developed a powerful product aimed at users without technical knowledge so that they can understand in a simple and intuitive way how complex AI models work and why they produce the results they do, using a dashboard.
We think the current result is spectacular and highly differential compared to any other Explainable AI product on the market. Simple, powerful, reliable and configurable in line with your needs.
We like to present ourselves as an AI start-up with a powerful and unique Explainable AI product and with a distinguishing proposal for the automation of processes and capability of supporting a business that wants to be data-driven, with guarantees.
25 years of experience in Machine Learning and Deep Learning projects endorse us.
Joint experiences of the AyGLOO team
Digital services companies (Urban planning)
- Document source. Daily bulletins from provincial councils and the Autonomous Communities.
- Processing. Twice a day we connect to the 62 websites and we carry out scraping to download the bulletins for that day. We apply NLP techniques to extract the urban planning adverts and identify details in each advert. The process is carried out in parallel on the cloud and the result is immediate.
- End result: segmented urban planning adverts and a segmentation table that contains the fields extracted from each advert.
- Initial configuration panel for the business user and modification of searches by date, population history, etc.
- End result (JSON files) integrated with client’s systems.
Media Companies
- Document source: Radio and television news programmes.
- Processing: Near real-time process similar to the previous one, performing speech to text and summarising each news item.
- End result: A front-end validation and visualisation website is presented. A user validates the result and through a neural network, retrains the system to become more precise each time.
- The system is preconfigured but the business user can modify it or launch sub-processes tailored to requirements at any given moment.
Services Company
- Document source. Internet, social networks and client CRM.
- Processing. Daily searches are launched on social networks for events that take place in the world with specific characteristics and the results are analysed using NLP techniques, completed with information from the internet. It is compared and filtered with information from the CRM to finally be ranked.
- End result: Selection of events of interest to the client with a rating.
- Initial configuration panel: * It is preconfigured but the business user can launch searches tailored to requirements at any given moment.
Online gaming company
Media Companies
- Document source: Daily press publications as pdf.
- Processing: Each day, different newspapers are processed for press clippings, identifying each part of the news item (headline, subtitle, summaries, body, signature, location, photo caption).
- End result: A front-end validation and visualisation website is presented. A user validates the result and through a neural network, retrains the system to become more precise each time.
- The system is preconfigured but the business user can modify it or launch sub-processes tailored to requirements at any given moment.
Services Companies (Consultancy and legal)
- Source Data:
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- Websites from official bodies of the European Union, national, regional and local governments.
- Social Network Accounts.
- Processing: Daily downloading of information to search, filter, perform a semantic analysis, select and classify information by different themes.
- Presentation to the client of the result in a front-end website for validation.