Enable best data practices with ML-powered fast data access, curation and collaboration

Synthesized has built the fastest self-service data access platform to break data silos and enable development and testing of all data-driven initiatives collaboratively in a compliant manner

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Challenges

Technical debt in testing, machine learning and data science

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Data scientists, ML engineers and test engineers waste up to 80% of their time on finding, collecting  and curating data for development and testing

Disagreement and blockers from approvers and data owners to get access to a representative set of data for development and testing purposes

#TimeToMarket up to 2 months to provision and curate data for testing and development

$100,000 per hour — average costs for organisations due to improper test data management (TDM) process and test data being not fully available

use cases

Businesses automate data delivery, curation and data quality monitoring with Synthesized

case #1
Multinational Investment Bank

Real-time data curation, delivery and data quality monitoring for dev and test teams in software development, ML and testing

Synthesized data enables robust models of risk to be developed

Synthesized enhances, regularises and rebalances structured data automatically for development and testing purposes

case #2
London Fintech

Support collaboration with clients, partners and remote teams on data projects and pilots

Synthesized automates collaboration with partners on combatting fraud and AML

Accelerates all storages of joint projects with banks ensuring privacy of 3rd party data providers

case #3
European ERP Software

Agile testing for both functional and non-functional purposes in the cloud

Synthesized enables rapid testing againts adversarial data scenarios generated by the platform

Synthesized removes the risk of massion-critical failure in production

Benefits

Business benefits of Synthesized

Synthesized has built the fastest self-service data access platform to break silos and enable development and testing of all data-driven initiatives in a compliant manner

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Consolidated data and test projects on one platform synchronised with an arbitrary number of data sources (both cloud and on-premise)

Streamlines collaboration internally with ML-powered access and externally with 3rd parties (PoC, remote dev) with data clean rooms

Comprehensive test coverage for testing existing solutions with large volumes of data scenarios

Deployed remotely in days, extendable architecture

Getting Started with Synthesized

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