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aizle ignites innovation

Prove ideas, build, and release new products with confidence, safety, and speed. Break through barriers to innovation with our proven synthetic datasets.

aizle is Smart Data Foundry’s synthetic data engine, designed to accelerate your innovation using high utility synthetic data with no privacy issues.

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Supercharge innovation

Speed

Achieve a swift proving of value to clients, users, and investors. When real data is scarce, and time and resources need prioritised, aizle closes the data gap. Develop new products, accelerate prototypes and machine learning pipelines, exploit emerging market segments, and test new customer concepts.

Confidence

Obtain clarity and fast feedback when the path ahead is uncertain. aizle allows for more effective code development, scaling and testing, allowing you to push forward to market faster, and with greater confidence. Iteratively develop products with reassuring efficiency and faster feedback cycles.

Collaboration

Benefit from the safety and high utility of aizle datasets. Bring together diverse expert problem solvers for sandboxes and hackathons. Open data environments to test and prototype technological solutions and break the cycle of complex and siloed datasets.

Risk Management

Access safe, complete and unbiased data to experiment with when real data is too private or sensitive to share and use freely. Test your security, compliance, and data integrity processes, without exposure to high consequence risk events, and stay within your own and regulatory data governance frameworks.

Leverage the power of aizle to overcome innovation challenges

Enable safe collaboration in a world of complexity

Achieve your strategic innovation ambitions, powered by safe synthetic data.

Unlock opportunities with internal and external partners for new proposition development

Better understand the path through the gaps and barriers blocking your strategic innovation objectives

Explore solutions to real-world problems with synthetic data that is safe and easy to share

Enable safe collaboration in a world of complexity

Prove the value of new product and technology concepts

Drive faster technology and product investment decisions with more confidence. Use synthetic data to define transformational opportunities, solve the big picture problems, and execute on the jobs to be done.

Quickly create and assess new propositions in response to emerging customer, technology, or regulatory needs

Enable data-driven evaluation of opportunities – before you commit time, money, and resource

Accelerate your feedback loop, reducing your time to market

Prove the value of new product and technology concepts

Increase certainty in your data systems and processes

Use synthetic data without gaps or bias as the core building block to build prototypes and test models.

Build out your mission-critical algorithmic and Machine Learning processes

Identify possible bias and blind spots in your decision-making

Refine and validate your business model hypotheses and stress-test scenarios

Increase certainty in your data systems and processes

Accelerate go-to-market velocity

Get your proposition in front of your customers, faster. aizle synthetic data propels you to launch quickly, confidently, and cost-effectively.

Overcome data barriers and build credibility and certainty in product direction

Prove your value proposition to clients, and your right to win with investors

Assess and understand core product fitness, driving continuous excellence

Accelerate go-to-market velocity

aizle methodology

Generated through Agent Based Simulation, we model the real world populated with artificial 'Agents', and create synthetic data based on their behaviour.

aizle synthetic data generation is a simulation approach, using agent-based modelling to generate high utility, zero privacy, ready-to-use datasets. The modelling begins with the generation of synthetic agents and businesses within a framework of rules and patterns, such as jobs, salaries, families, relationships, schedules, budgets, bank accounts, preferences, and property.

Case studies

Providing Fraud datasets for the Financial Conduct Authority

Providing Fraud datasets for the Financial Conduct Authority

A Push Payment Fraud techsprint in association with the Financial Conduct Authority (FCA). Smart Data Foundry delivered millions of rows of synthetic personal data, banking data, and telecommunications data to facilitate the FCA and the Payment Systems Regulator (PSR) TechSprint on Authorised Push Payment Fraud.

Testing identity checks with <strong>aizle</strong>

Testing identity checks with aizle

An early-stage Fintech asked Smart Data Foundry for support as they develop a new approach to credit modelling. We created a bespoke synthetic dataset of 100k individuals with 1M data variations to help train and test new AI and ML models to create new approaches for identity matching.

Supporting an FCA innovation ESG TechSprint

Supporting an FCA innovation ESG TechSprint

In partnership with the FCA and the City of London Corporation, Smart Data Foundry provided the synthetic datasets to support a TechSprint focusing on building technological solutions to overcome challenges faced by regulators in monitoring ESG Data and Disclosures.

Data is the core building block needed to build a prototype and test our models. But when the data doesn’t exist or is hard to share, it can stifle the pace of innovation, adding time, cost and risk to the process. Working with synthetic data from Smart Data Foundry has unlocked this puzzle and helped us to accelerate and assess our proposition development, meaning we can get to market quicker.

Chief Technology Officer

Emerging UK Fintech

This TechSprint was particularly exciting because it broke new ground in terms of achieving ambitions set out in our Data Strategy. The FCA, PSR and Smart Data Foundry collaboration on the provision of ground-breaking synthetic data sets, which provided the sprint teams with access to synthetic & pseudonymised personal data, bank records (from, transaction data, Telcom data, including text/call records, as well as multiple types of synthetic fraud in the data which covers both the perpetrator and victim.

Jessica Rusu, Chief Data, Information, and Intelligence Officer

FINANCIAL CONDUCT AUTHORITY

Related content

A Comparison of Synthetic Data Generation Approaches
White Paper

A Comparison of Synthetic Data Generation Approaches

There is a great deal of excitement at the moment around synthetic data and the role it can play in driving innovation.  But what is synthetic data? Why is it useful? How is it generated? And what type of synthetic data should you use?

Accelerating Fintech innovation and growth with Synthetic Data
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Accelerating Fintech innovation and growth with Synthetic Data

Generating synthetic datasets for individual validation across disparate data-siloes.

Award winner!
News

Award winner!

Paola Arce, Victor Alfonzo Diaz and Euan Gardner from Smart Data Foundry were delighted to win an international synthetic data challenge.

Leading edge synthetic data for FCA & PSR APP Fraud Techsprint
Blog post

Leading edge synthetic data for FCA & PSR APP Fraud Techsprint

Providing synthetic data for the FCA to support a TechSprint.

Interested? Let's talk

Get in touch to simply find out more, or we can discuss how aizle could assist your product development. With flexibility available in the content, application and pricing, a conversation is a great way to start boosting innovation with aizle.

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