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Synthetic Data

Synthetic Records Generated
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Generate realistic test data on demand, reducing wait times from weeks to minutes.
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We're solving the test data problem

Real production data forces you to choose between speed and safety: wait weeks for sanitised datasets and miss deadlines, or use production data and risk compliance breaches. When you're delivering complex change under pressure, neither works.

We give you the control, pace and assurance to do it right. Generate test data that's as realistic as production, complete with edge cases, complex relationships, and real-world messiness, without touching actual user information. Your teams deliver at full speed, your compliance stays intact, and your live services remain protected.

Faster delivery, better compliance, fewer headaches.

 

Three solutions to cover all your test data challenges

Choose the approach that fits your needs—from AI-powered generation to complete synthetic identities

🤖 AI-Enhanced
🔨

Smart Data Builder

Our battle-tested generation tool where you define attributes and guidelines, now powered by AI. Feed it your requirements and let the AI tune the tool automatically—maintaining full control while leveraging intelligent automation.

✨ AI-Powered
🧠

Neural Data Synthesizer

Our AI learns from real-world patterns and generates new data that captures the complexity and nuance of the original. Creating datasets that feel authentic because they reflect how messy, unpredictable real data actually behaves.

✨ AI-Powered
👥

Synthetic Citizens

Our rule-based generation creates synthetic people with complete, verifiable identities. Define parameters, nationality mix, and age distributions—the system generates individuals who fit those exact specifications with passport photos, DNA profiles, and document data.

Smart Data Builder

Battle-tested test data generation, now supercharged with AI automation

Built on our proven test data generation platform, AssureTDG is now enhanced with AI to further accelerate delivery. Our purpose-trained AI reads your specifications and intelligently configures the generator, no manual setup required.

You get the reliability and precision of a mature platform with the speed of automation. Perfect for scenarios requiring complete transparency and control over every field, relationship, and validation rule.

You provide your requirements, database schemas, business rules, data constraints, compliance needs. Our AI interprets these and automatically configures AssureTDG to generate exactly what you need:

  • Schema understanding: Reads your data models and sets up table structures, relationships, and constraints
  • Business rule translation: Converts requirements like "20% enterprise customers, 80% SMB" into generator rules
  • Constraint mapping: Applies validation rules, format requirements, and referential integrity automatically
  • Edge case definition: Identifies boundary conditions and unusual scenarios from your specifications

We handle the configuration complexity. You get production-ready test data that matches your exact requirements.

  • Implementing test data when no production data is available
  • Regulated environments requiring audit trails and full transparency
  • Projects that need complete control over data characteristics
  • Testing scenarios with specific edge cases and boundary conditions
  • Environments where explainability matters more than statistical mimicking
  • AI-powered configuration: Feed in requirements documents, schemas, or specifications. AI configures the generator automatically, saving days of manual setup
  • Battle-tested core: Built on AssureTDG, proven across enterprise deployments over years of production use
  • Complex relationship handling: Multi-table hierarchies, many-to-many relationships, conditional dependencies, all configurable and maintainable
  • Compliance-ready output: Generate data that meets specific regulatory requirements with documented lineage and generation rules
  • Iterative refinement: Adjust parameters, add constraints, modify rules. Changes are immediate and controllable
  • Managed delivery: We configure, generate, and deliver. You get exactly the test data you specified without wrestling with the tooling

Neural Data Synthesizer

AI-generated copies of your production data with mathematical privacy guarantees

Our AI learns the statistical patterns, relationships, and edge cases from your real relational databases, then generates synthetic versions that preserve analytical utility while providing formal privacy protection. The synthetic data behaves like your production data — same distributions, same correlations, same edge cases — but contains zero real records.

Quality Assurance Reports

Every synthetic dataset includes comprehensive validation reports showing statistical fidelity, privacy guarantees, and quality metrics

Real vs Synthetic Data Comparison

Statistical Fidelity Analysis

Our reports compare synthetic data distributions against real data to ensure accuracy. This example shows frequency distributions for a numerical column - synthetic data (striped bars) closely matches the real data patterns.

  • Visual comparison of distributions
  • Statistical similarity metrics
  • Column-by-column validation
Distribution Matching

Distribution Matching

For complex data patterns, we provide density plots showing how synthetic data (teal) overlays with real data (dark line). This ensures your test data behaves like production data.

  • Captures complex distributions
  • Validates edge cases and outliers
  • Ensures realistic test scenarios
Comprehensive Report

Comprehensive Quality Metrics

Every dataset comes with a complete report including quality scores, validity metrics, privacy analysis (MIA), and overfitting checks (DCR). You get full transparency into your synthetic data's characteristics.

  • Overall quality and validity scores
  • Privacy guarantees with risk levels
  • Overfitting detection and interpretation
  • Generated table statistics and metadata

Our AI analyses your database schema and learns:

  • Statistical distributions: If 60% of your customers are in London, 60% of synthetic customers will be too
  • Correlations: If high-value customers tend to be older, that relationship is preserved
  • Referential integrity: Every foreign key in the synthetic data points to a valid parent record
  • Frequency patterns: If 5% of customers generate 40% of orders, that "power user" distribution appears in the synthetic version
  • Development and testing environments
  • Third-party data sharing
  • Analytics and ML model training
  • Data migration testing
  • Compliance-safe demo environments
  • Multi-table referential integrity: Generate interconnected tables where every foreign key relationship is valid — no orphaned records, no broken joins
  • Differential privacy: Configurable privacy settings with formal mathematical guarantees — you choose the trade-off between privacy protection and statistical fidelity
  • Privacy verification included: Every synthetic dataset comes with Membership Inference Attack (MIA) scores proving attackers cannot identify which records were in your training data
  • Learned edge cases: Rare scenarios are learned from your actual data patterns at realistic frequencies — not invented
  • Quality scoring: Clear metrics show exactly how well the synthetic data matches your original distributions, correlations, and cardinality patterns
  • Database integration: Connects directly to PostgreSQL and other databases — no CSV wrangling required
  • Client-ready reporting: Dashboards showing privacy risk assessments, quality scores, and distribution comparisons

Synthetic Citizens

Generate complete synthetic identities for verification and biometric testing 

Creates synthetic individuals with internally consistent identity attributes; names, dates of birth, addresses, family relationships, passport-style photos, and DNA profiles. Every generated person is fictional, but their data hangs together realistically.

Rule-based generation following demographic patterns and document specifications. You define the parameters — nationality mix, age distributions, family structures — and the system generates people who fit those constraints while maintaining internal consistency.

  • Identity verification (IDV) system testing
  • KYC/AML workflow validation
  • Biometric matching system development
  • Fraud detection model training
  • Document processing pipelines
  • Demographically realistic: Names, addresses, and dates follow real-world patterns for your target populations
  • Family tree generation: Parents, children, siblings with consistent surnames and plausible age gaps
  • Document simulation: Passport-style photos and identity document formats
  • DNA profiles: Synthetic genetic markers for biometric testing
  • Scalable: Generate thousands of synthetic identities on demand

How 2i streamlines your delivery with synthetic data

We've helped organisations across financial services, government, and enterprise technology solve the same data challenges you're facing.

Working to your timelines and utilising industry-leading technologies and partner platforms like Tonic.ai, we deliver validated, high-quality synthetic data.

"With 2i's guidance, we now have a clear roadmap for implementing the right synthetic data solution for our specific needs, saving us from investing in an approach that wouldn't have delivered the accuracy we require." 

- Data Manager, UK Government Agency 

Synthetic

  • Data
  • People
  • Tables
  • Data

How synthetic data benefits your delivery

Whether you're at the start of a project or deep into deployment, synthetic data solves the problems that slow teams down and create risk.

⚡
Speed up delivery without compromising quality:

Generate realistic test data instantly instead of waiting weeks for anonymised production datasets.

🛡️
Eliminate compliance exposure:

Synthetic data removes GDPR concerns, data breach liability, and regulatory risk entirely. It's data that acts like the real thing without the legal headaches.

🎯
Test scenarios you can't get from production:

Edge cases, rare workflows, high-volume stress tests - generate exactly what you need to test thoroughly.

📊
Build better data governance from the ground up:

Implementing synthetic data naturally enforces the data best practices and governance frameworks that regulators expect.

The AI learns statistical patterns, distributions, correlations, frequencies - not individual records. With differential privacy enabled, mathematical noise is added during learning to guarantee that no individual's data can be reconstructed from the synthetic output. We validate this with Membership Inference Attacks that prove attackers cannot identify training records.
Differential privacy is a mathematical framework that provides provable privacy guarantees. It works by adding calibrated noise during the learning process, ensuring that the presence or absence of any individual record doesn't significantly change the output. Unlike anonymisation (which can often be reversed), differential privacy provides formal guarantees expressed as ε (epsilon) — lower values mean stronger privacy.
Accuracy depends on your privacy requirements. With no differential privacy, synthetic data typically achieves 90-95% statistical fidelity. With strong privacy protection (low ε), fidelity will drop. We provide quality scores so you can make informed trade-offs. For most testing purposes, even 85% fidelity is more than sufficient.
Synthetic Citizens can generate thousands of records in minutes. Synthetic Databases require an initial learning phase (typically 30-60 minutes for datasets up to 1M records), after which generation is fast. We can integrate with your CI/CD pipelines for automated refresh.
Our Synthetic Databases solution currently supports PostgreSQL with direct integration. We can also work with CSV exports from other database systems. More database connectors are on our roadmap.
Book a discovery session

Take control of your test data generation

Don't let test data limitations compromise your system quality. Partner with experts who understand how to balance realism with security. Contact us to discover how synthetic test data can transform your testing approach while maintaining complete control.

Book a synthetic data consultation

 

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