Core Features

Thanks to the innovative model of database interaction, Esplores simplifies and accelerates searches, filters, discovery and query and allows the management of On-The-Fly calculated fields regardless of the sources and their interactions.

Ease of use is ensured with powerful wizards and great reporting is achieved with a complete set of dashboarding objects.

GDPR & Data Masking

Mask personal information and all specific or custom domains.

Fullfill all the main challenges that masking projects and products must meet in order to guarantee compliance with the legislation and at the same time maintain a high level of management of company information systems


Transfer specific subsets of your data to another database without technology constraints. Apply conditions and filters at need, without restrictions and prepare destintations databases with simple workflows.

Text Processing

Complete scan of any document type in any file format.

Retrieve domains in text and generate an index for full text search operations, applying special conditions and term similarity.

All with blazing fast response.


Process your texts with Natural Language Processing models or fine-tune an existing model for specific needs.

Use the model for search, text similarity, relevance ranking or recomendation systems.

You may also use our web crawling engine for scouting for new data.

AI Data Extraction

Extract structured data from your documents using OCR and Machine Learning algorithms.

Submit your templates and we will train a model that retrieves data from text or images.

Core features

More than 200 features

Ready to use exploration, consolidation, calculation and statistics functions right at your fingertips

Reduce data preparation activities by a factor of 10

Go quickly up and running, connected with all data technologies without deep knowledge of the SQL syntax.

Take advantage of the special features

of Esplores, like Join Recommender and Data Hub to increase the speed of data analysis and data preparation.

Data Federation

Connect all the databases of a holding’s companies without replica or the need for a single repository, link data even if from different technologies and run complex analysis like registry alignment or cross comparison.

Analyze your data using advanced statistics and machine learning

Run ready-to-go statistics on a data table like: regression, clustering, correlation and table or field profiling.

Link tables across different sources using Join Recommender with Deep Learning



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Esplores as an end-to-end platform

With more than 20 data connectors, Esplores can be integrated with your existing data in a simple way, regardless of the technology, the volume or the variety, making the benefits offered by countless features immediately available without requiring duplication or replication of the data.

Esplores has features for each step of the data analysis workflow

Combine data from heterogeneous sources to gain insight

Get insight form combining data from multiple sources in a matter of days / weeks compared to months

Eliminate expensive and rigid DWHs

Get insight form combining data from multiple sources in a matter of days / weeks compared to months

Perform complex calculations

Relieve enterprise applications from complex calculations

Introduce Machine learning and Artificial Intelligence in business processes

Check the quality of your data

Quickly identify data that do not match rule / description

Find the location of your data

Where are these data located?

What attributes do they have in the different locations?

Which db contain these data?

Impressive dashboarding

Build interactive dashboards that put together data from different sources and interact between each others with a click of the mouse.

Choose between 30 different objects and 70 different types of charts

GDPR & Data Masking

Discover domains in your data

Out-of-the-box domains (Name, Surname, Birthdate, VAT#, etc) ready for discovery in every database.

Add your custom domain (customer id, product code, etc) to the discovery process.

Fine tuned masking

Toggle masking on the fly without writing on the database, based on user profiling.

Run persistent masking on the whole databse, when writing is enabled.

Esplores provides, in a single suite, all the features for managing a Data Masking project combined with functions for managing Data Discovery and Data Analysis projects.

Preview the masked data with the on-the-fly function, then persist the masking

The completeness of Esplores' analysis and management functions leads it to be a solution that follows the process of Data Masking Projects, which are typically characterized by the following Management Flow:

  1. Definition of personal data domains ("out of the box" the main domains used in the projects are already present)
  2. Definition of Masking Algorithms (possibility of customizing existing algorithms and creating new ones)
  3. Entire Customer Data Base Profiling
  4. on-the-fly masking for the purpose of testing the results and managing the databases in production
  5. Persistent Masking for managing development, debugging, and testing (non-production) environments


Build your subset

Compose a query from the source db choosing the fields and using custom WHERE conditions.

Check the query results in realtime.

Cross technology destination

Run the subsetting workflow without limiting the destination database to one technology: from any to any.

Specify the operations on the destination db with its SQL syntax.

Extract smaller subsets of your data to fill your dev environment

In research communities (for example, earth sciences, astronomy, business, andgovernment), subsetting is the process of retrieving just the parts of large files which are of interest for a specific purpose. This occurs usually in a client-server setting, where the extraction of the parts of interest occurs on the server before the data is sent to the client over a network. The main purpose of subsetting is to save bandwidth on the network and storage space on the client computer.

Source: Wikipedia

Four steps Subsetting from start to end

  1. Apply selection rules to your source
  2. Read the subset from source
  3. Apply before and after custom operations to your destination
  4. Write the subset to destination

Text Processing

Text and OCR extraction

Extract text from all the office documents (DOC, XLS, PPT) file formats and many others (PDF, ZIP, DWG, DICOM).

Perform high confidence OCR on text-as-image with language recognition.

Data discovery on unstructured data

Identify personal data or any other domain within unstructured documents.

Apply full text search to your documents

Create an index of all the text within your documents with minimum storage impact, theen run complex search patterns within milliseconds.

Textual data can be extracted from any format. OCR will do extraction on images

Search within your index by category or by search term. Enable term similarity when the search is not satisfactory.

Write the search query with jolly characters, surround phrases with double quotes for exact match or choose character distance between terms.

Natural Language Processing

Generate your model

Submit a dataset of texts (corpus) to train an NLP model for your needs.

Extract insightful data.

Use knowledge for different applications.

Get new texts and insights

Crawl the web or your databases searching for information semantically.

Semantic classification of texts using Machine Learning

Wether you have a structured database with unstructured fields or a set of documents with descriptive texts you may process your data for semantic classification.

Our team will train an NLP model specifically configured for your needs that can be used inside Esplores or as a service

The trained NLP model can be used to find insights or classify new texts.

Our web crawler can scout the net for new information to be submitted to the Natural Language Processing model and find best articles.

AI Data Extraction

Extract from any documents

Using our text processing engine, you will be able to extract data from any document type containing with text.

Data from images

Our OCR workflow can manage different kind of information contained in images, extracting texts ang tabular data.

Extract structured data from unstructured documents

Submit your templates to our team to get a customized pipeline of extraction.

Using a combination of Computer Vision techniques, Machine Learning algorithms and OCR tools we can extract the information from all types of documents and obtain structured data.

Use the dashboarding module to generate insightful reports of the extracted data, then search and export when needed.

Include our model in your workflow using APIs or manage directly the information in the Esplores Data Exploration Module. You may even create a Dashboard for analyzing the extracted data within the dashboarding module of Explores

Use the dashboarding module to generate insightful reports of the extracted data, then search and export when needed.

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