Straive Data Platform - Unleash the power of unstructured data

Straive Data Platform (SDP)

Straive is working with leading information service providers, scientific publishers, and aggregators to solve challenges by deriving meaningful insights from unstructured content and data. We have delivered industry-leading solutions for the extraction, transformation, and enrichment of unstructured data. We have built our specialized suite of data solutions to derive business value from unstructured data (be it text like PDFs, invoices, Word documents; public data like annual reports, or visual like images, maps). These solutions are built around Straive Data Platform (SDP), our proprietary end-to-end Data Management Platform.

SDP: An overview

The Straive Data Platform (SDP) uses artificial intelligence and machine learning algorithms, combined with a business rules framework to offer data management as a service. It provides prebuilt connectors and multiple ingestion paths for capturing, unifying, and actioning data across various touchpoints with completely secure data processing.

SDP's cloud-native, open-source based, and a built to integrate architecture enables

Faster time to market

Better Data Coverage

Consistent Quality

Scalable solution

data management lifecycle.png

As indicated below, SDP is broadly classified into four pillars – Extract, Enrich, Transform, and Deliver – each performing a specific function in the data management lifecycle.

Pillars of SDP

SDP – Extract

SDP aggregates thousands of sources across domains to identify business data that meets the needs of clients using custom-made search queries, ranks them based on multiple parameters, and then ingests the data from these sources into the platform.

SDP – Enrich

Straive provides data enrichment services for data with missing/invalid points through SDP with the help of ML-based models and human intervention if needed.

SDP – Transform

SDP’s data transformation tools help with transforming raw data into clean, aggregated, analyzable data as they move from individual sources to an analytics warehouse or other enrichment processes downstream.

SDP – Deliver

SDP’s out-of-the-box feature enables data delivery in standard data formats such as XML, JSON, CSV, MS Word, and content such as taxonomies and ontologies in specialized formats such as RDF, SKOS, and OWL. In addition, SDP enables programmatic integration with clients’ CMSs via APIs and web services too.

Platform Highlights

Some of the salient features of the Straive Data Platform are:

It is built on open-source technologies, such as Angular JS, Python, PERL, and MongoDB, and the SQL Server
All of its’ functionalities can be deployed as microservices on AWS using Docker containers
The platform uses REST APIs to integrate multiple modules
It can be configured for various client-use cases and has been implemented at scale
The platform is managed through a cloud service with automatic scaling and enterprise-grade SLAs
The platform’s out-of-the-box connectors provide seamless connectivity and integration with all types of data sources and programmatic data integration via APIs and web services
It can be seamlessly integrated with third-party tools and products
The platform supports any unstructured content, including non-relational data, and can parse XML, JSON, PDF, emails, and other feeds
It provides for data scheme optimization - automated collection, detection, and preparation of data using optimal relational schema
The platform is focused on rapid data pipeline construction, data quality monitoring, and error handling
It provides flexibility in intervening with custom scripts to monitor, clean, and move data as needed
The platform includes convenient, customizable workflows for building modular transformation and enrichment