Data Science for unstructured data management.

Features

Automatic classification

Build and deploy custom automatic classifiers for:

  • short, and noisy text such as customer data entries or product data.
  • long texts such as claims or customer service emails.

provides an effective workflow for training, improving and deploying machine learning classifiers with:

Monitoring and analysis tools to help data scientists and business experts to keep track of classification results and improve classifiers over time.

Data protection

Podemos transferir sus datos personales a países que no sean el país en el que reside y en los que opere XXXXXXX o nuestros proveedores de servicios. Las leyes de protección de + 0.147datos de estos países pueden diferir de las leyes de su país, pero XXXXXXX se asegura de - 0.230implementar medidas de seguridad adecuadas para proteger sus datos + 0.079personales en esos países de conformidad con esta Política de Privacidad.

Data protection 99.63%

record1: Paden, Mr Yasir

record2: Paden-Spitznogle, Nasiir-Liam

duplicate 98%

no_duplicate 2%

An easy to use annotation user interface for business experts to create a training dataset from scratch or improve an existing classifier over time.

Pre-configured and extensible classifiers to let data scientists get started with current best practices while giving them full flexibility to create their own models and data pipelines with Python and PyTorch

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Data protection

Podemos transferir sus datos personales a países que no sean el país en el que reside y en los que opere XXXXXXX o nuestros proveedores de servicios. Las leyes de protección de + 0.147datos de estos países pueden diferir de las leyes de su país, pero XXXXXXX se asegura de - 0.230implementar medidas de seguridad adecuadas para proteger sus datos + 0.079personales en esos países de conformidad con esta Política de Privacidad.

Data protection 99.63%

record1: Paden, Mr Yasir

record2: Paden-Spitznogle, Nasiir-Liam

duplicate 98%

no_duplicate 2%

Technology

Data extraction

Build and deploy custom data extraction pipelines for:

  • tabular data such as product catalogues or order spreadsheets.
  • long documents such as customer service emails or product specification PDFs.

provides an effective set of tools for defining, configuring and training advanced data extraction pipelines with:

More than 20 out of the box entities such as dates, times, currency amounts, weight, dimensions, and many metric units (like bytes, hertz, decibels, metres, miles, grams, or pounds)

Support for multiple formats such as PDF, Word, Excel Spreadsheets, HTML, email, or plain text.

Created with Sketch.

Custom entities, attributes and relation using user defined rules and functions and machine learning models.

Technology

Relational output based on knowledge graphs to let you extract not only entities but their relations, roles and attributes.

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Technology
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Matching

Build and deploy custom semantic similarity services for:

  • sentences, paragraphs and textual content in databases, such as legal clauses, customer or customer claims.
  • long documents such as contracts

provides an effective service for creating and consuming semantic similarity services with:

Machine learning for learning a language model out of your own documents.

Support for multiple formats such as PDF, Word, Excel Spreadsheets, HTML, email, or plain text.

Created with Sketch.

Analytical user interfaces for finding most similar and dissimilar items in your database or document set at different levels such as record, paragraph or full document-level.

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Created with Sketch.

Workflow

  • Models, datasets and experiments tracking

    Models, datasets and experiments tracking

  • Management user interfaces

    Management user interfaces

  • Model development, training and evaluation

    Model development, training and evaluation

Tool for highly productive data science with unstructured data.

Use cases

Automatic classification

Automate manual work in customer data quality processes

Data stewards invest significant time performing repetitive, tedious tasks to improve the quality of large customer databases.

Automate part of these efforts with Biome machine learning models, which learn directly from past decisions of data stewards.

Use cases

Manufacturing company

Data extraction

Make previously unreachable data accessible to business teams and data analysts.

Business and engineering teams need to invest significant resources to analyse supplier and contract documents. his information, spread across different documents and IT systems, is key to making procurement and engineering processes more efficient.

Support data collection from technical and legal documents with Biome Data extraction, highly reducing manual data collection efforts.

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For your unique use case

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We are based in Spain, come to visit us.

Airbus BizLab Madrid
Calle de Manzanares, 4
28005 Madrid, Spain
El Moli Lab
Molí Canyars, 7
46016 Carpesa, Valencia
Contact us contact@recogn.ai