AI Data Synthesis
Accelerator

Turn limited datasets into high-fidelity, privacy-first environments that mirror the exact complexity of your enterprise.
Generate high-quality training data 10x faster - bias-free, privacy-safe, and production-ready. All in just 2 weeks.

Get your own custom content generation engine built in 2 weeks. Generate content 10x faster: from reports to campaigns.

All in just 2 weeks.

Trusted by Industry Leaders

Every enterprise hits the same data wall

Your AI models are only as good as the data they train on. But getting enough of the right data - clean, compliant, and representative - is where most AI initiatives stall.

Your loan underwriting model is underperforming because real training data is too limited and too skewed to edge cases

Clinical AI initiatives are blocked for months waiting for patient data approvals that may never come

Your fraud detection model misses novel attack patterns because you can't generate enough examples of rare transaction types

Teams spend weeks manually cleaning and rebalancing datasets instead of building the models that matter

Our solution

GoML's AI Data Synthesis
Accelerator

Deploy your own synthetic data generation engine that produces high-quality, statistically valid training sets — with bias removal, privacy compliance, and model reliability built in from day one.

Synthetic data generation that works at scale

Tabular data synthesis

Generate structured datasets that mirror the statistical properties of your real data, without exposing sensitive records.

Edge case and rare event generation

Produce realistic examples of low-frequency events — fraud patterns, rare diagnoses, regulatory exceptions — that real data can't supply in volume.

Bias detection and removal

Automatically identifies and corrects distributional bias in generated datasets before they reach your models.

Multi-format output

Delivers synthetic data in the format your pipelines expect — CSV, JSON, Parquet, or directly into your data warehouse.

Enterprise-grade Synthetic data infrastructure

Adapter-based LLM integration

Unified access to Amazon Bedrock, OpenAI, Google Gemini, and Claude with complete model tracking and audit trails.

Statistical validity checks

Automated post-generation validation ensures synthetic data preserves the distributions, correlations, and relationships of the source data.

Compliance ready

Full data lineage, governance workflows, and privacy-preserving generation for HIPAA, GDPR, and financial services regulatory requirements.

How does it work?

What is GoML's AI Data Synthesis Accelerator?

Over 70% of AI projects never reach production. The ones that do have one thing in common: they don't start from scratch.

GoML's AI Data Synthesis Accelerator is a ready-to-adapt synthetic data engine: pre-built generative pipelines, statistical validation frameworks, bias correction modules, compliance-ready workflows, and deployment code.

Skip months of building custom data generation infrastructure — your teams get production-quality training data 80% faster, without touching sensitive records.

Your own synthetic data engine,
built on Bedrock

Your own content engine, built on Bedrock

GoML's AI Data Synthesis Accelerator integrates with Amazon Bedrock to give you access to an entire ecosystem of cost-effective foundation models through a single, secure interface.

Model flexibility without complexity

Access Claude, GPT, Nova, and emerging models for different generation tasks without managing multiple APIs or vendor lock-ins.

Enterprise security by design

Your source data and generated datasets never leave your AWS environment, meeting the strictest data sovereignty and privacy requirements.

Cost optimization intelligence

Our Bedrock integration automatically routes generation tasks to the most cost-effective model for each use case, reducing your AI spend by up to 40%.

Future-proof architecture

As new foundation models become available on Bedrock, your synthesis engine automatically gains access without any pipeline changes or reconfigurations.

How do your clients Benefit?

From loan underwriting to clinical trial simulation, GoML's AI Data Synthesis Accelerator is the foundation for many enterprise data generation systems. Here are some ways companies have adapted our accelerator for their own requirements.

Financial services

Loan underwriting model improvement

"GoML's synthetic data engine improved our loan underwriting model accuracy by 88%. We generated thousands of edge case scenarios our real data simply couldn't cover."

Healthcare

Clinical AI training data

Patient data approvals were blocking our AI roadmap for months. GoML's synthesis engine let us generate compliant, statistically valid clinical datasets and get our model into production on schedule."

Life sciences

Regulatory scenario simulation

"GoML built us a synthesis pipeline that generates audit-ready regulatory test cases. Our validation cycles are now 60% shorter than they were with manually curated data."

Why GoML's AI Data Synthesis Accelerator is Different?

Forget waiting on data approvals. Forget underperforming models trained on incomplete datasets. Give your AI the volume, variety, and quality of data it needs to actually work.

Industry-specific intelligence

Pre-configured for healthcare, finance, and life sciences data schemas, regulatory constraints, and model accuracy requirements.

Bedrock-powered flexibility

Multiple foundation models with simple configuration for easy switching as better generation models become available.

Compliance first

Full data lineage, privacy-preserving generation, and governance workflows built in — deploy synthetic data with confidence, not risk.

Proven at scale

20+ enterprise data synthesis deployments across regulated industries, including an 88% model accuracy improvement for a major financial services client.

Deploy 80% faster

Pre-built accelerator means production-ready as soon as the pilot is complete. New data sources, formats, and generation scenarios added in weeks, not months.

Rapid Expansion & Iteration

Become production-ready as soon as the pilot is complete

While others are still waiting on data access approvals, you'll be training better models on better data — today.

Get started with AI for your Data Synthesis

While others are still evaluating off-the-shelf wrappers, you'll be generating results.

Speak to an expert now

Step 1

4-Day Discovery Workshop

A full-day data synthesis discovery workshop with our AI leaders. In 4 days, you get a comprehensive synthetic data roadmap and a working proof of concept built with our AI Data Synthesis Accelerator.

A full-day Gen AI discovery workshop with our AI leaders. In 4 days, you get a comprehensive Gen AI roadmap and a Proof of Concept for a high priority use case.

Step 2

4-Week Pilot

We do a deep-dive discovery into the use case and design a business case. We choose the right Gen AI model for your use. In 4 weeks, you get a fully-built and tested Pilot.

We do a deep-dive into your data availability gaps and model training needs and design a full business case. In 4 weeks, you get a fully-built and tested pilot based on our AI Data Synthesis Accelerator.

Step 3

4-Month Production Rollout

We establish data governance processes, demonstrate our validation guardrails and explainability for your synthesis pipeline. Your engine is production-ready and ready for enterprise-wide adoption.

We establish Gen AI governance and security and demonstrate our guardrails. In 4 months, your application is production ready and ready for enterprise-wide adoption.

Get in touch with our team

Have questions or ready to get started?
Contact our team of AI experts. Fill out the form and we'll be in touch shortly.

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