MOSTLY AI Synthetic Data Platform · 0 reviews

MOSTLY AI Synthetic Data Platform

Generate privacy-compliant synthetic data at enterprise scale with AI-powered intelligence.

Synthetic Data Tools

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About MOSTLY AI Synthetic Data Platform

MOSTLY AI Synthetic Data Platform is an enterprise-grade solution for generating statistically representative synthetic datasets that preserve the analytical properties of original data while ensuring complete privacy protection. The platform leverages advanced artificial intelligence and machine learning to create synthetic data that passes rigorous validation tests, enabling organizations to overcome data scarcity, regulatory constraints, and privacy concerns. MOSTLY AI excels in generating high-fidelity synthetic datasets suitable for analytics, machine learning model training, and software testing. When deployed through AiDOOS marketplace, the platform benefits from enhanced scalability, streamlined governance frameworks, and seamless integration with enterprise data ecosystems. Organizations can rapidly provision synthetic data environments, maintain compliance across distributed teams, and optimize data utilization without compromising privacy. The solution supports multiple data formats and industry-specific use cases, making it ideal for sectors with stringent data protection requirements such as healthcare, financial services, and insurance.

Challenges It Solves

Organizations struggle to share sensitive data for analytics and ML model development due to privacy regulations
Data scarcity limits training of AI models and restricts ability to conduct comprehensive data analysis
Balancing data utility with privacy compliance creates operational bottlenecks and slows time-to-insight
Legacy data protection approaches restrict innovation and limit cross-functional collaboration on data projects
High costs associated with de-identification and anonymization techniques compromise data quality

Faster model training with privacy-protected synthetic data

Improved regulatory compliance without utility loss

Reduced data security and breach liability risks

Use Cases

Machine Learning Model Development

Organizations use MOSTLY AI to generate diverse synthetic training datasets for developing and testing ML models without exposing sensitive patient or customer data. This accelerates model development cycles while maintaining strict privacy compliance.

85% 30% faster ML model training and validation cycles

Regulatory Compliance & Data Sharing

Financial and healthcare institutions leverage synthetic data to safely share datasets with partners, regulators, and third-party analytics vendors while maintaining GDPR and HIPAA compliance.

78% Enable secure data collaboration across organizations

Analytics & Business Intelligence

Data teams use synthetic datasets for exploratory analysis, dashboard development, and BI tool testing without risking exposure of real customer or operational data.

72% Risk-free analytics sandbox for data exploration

Software Testing & QA

Development teams generate realistic synthetic test data for UAT, performance testing, and continuous integration pipelines without requiring access to production data.

68% Production-realistic test data for secure QA environments

Data Monetization & Licensing

Organizations monetize proprietary datasets by generating synthetic versions for third-party licensing, opening new revenue streams while protecting original data assets.

64% New revenue opportunities through data product licensing

Pricing

Pricing available on request

MOSTLY AI Synthetic Data Platform pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

Schedule a Meeting

Key Features

AI-Powered Synthetic Data Generation

Create statistically accurate synthetic datasets mirroring real data patterns

Generates 1:1 scale synthetic datasets preserving statistical properties

Privacy Preservation & Compliance

Ensure GDPR, HIPAA, and regulatory compliance automatically

100% privacy protection with differential privacy guarantees

Multi-Format Data Support

Handle structured, unstructured, and time-series data seamlessly

Supports CSV, SQL databases, Parquet, and streaming data formats

Quality Validation & Testing

Verify synthetic data quality through comprehensive statistical tests

Automated validation reports confirming analytical fidelity

Enterprise Scalability

Generate terabytes of synthetic data on demand without infrastructure constraints

Cloud-native architecture scaling to petabyte-level datasets

API & Integration Layer

Programmatically generate and manage synthetic data workflows

RESTful APIs enabling seamless enterprise system integration

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Enterprise Readiness

Differential Privacy

End-to-End Encryption

Role-Based Access Control

Audit Logging & Compliance Reporting

GDPR & HIPAA Compliance

Integrations

8 total apps

Direct integration for reading source data and writing synthetic datasets to Snowflake data warehouse

Cloud-native integration enabling data ingestion from S3 and deployment within AWS ecosystems

Native connector for BigQuery datasets supporting analytics and ML pipeline integration

Enterprise integration with Azure data services and Synapse Analytics for hybrid deployments

Distributed processing integration enabling large-scale synthetic data generation workflows

Lakehouse platform integration for unified data and ML operations with synthetic data

Workflow integration for incorporating synthetic data into modern data transformation pipelines

CRM data integration for generating synthetic customer and transaction datasets

AiDOOS Managed Deployment

Deploy MOSTLY AI Synthetic Data Platform in

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

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Deployments

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Adoption rate

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Post-deploy sat.

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Time to value

Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for MOSTLY AI Synthetic Data Platform

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit

Get a delivery plan for MOSTLY AI Synthetic Data Platform What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers MOSTLY AI Synthetic Data Platform

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

Schedule a Meeting

Frequently Asked Questions

How does MOSTLY AI ensure privacy when generating synthetic data?

MOSTLY AI uses differential privacy mathematics combined with advanced AI techniques to create synthetic data that statistically mirrors original datasets while providing mathematical guarantees that individual records cannot be reverse-engineered. The platform supports adjustable privacy-utility tradeoffs depending on your compliance requirements.

Can synthetic data generated by MOSTLY AI be used for regulatory compliance?

Yes. Synthetic data is explicitly recognized by GDPR, HIPAA, and other regulations as de-identified data when generated with proper privacy-preserving techniques. MOSTLY AI's platform is designed to meet these regulatory standards and can help organizations achieve compliance while enabling data sharing and analytics.

What types of data can MOSTLY AI generate?

MOSTLY AI supports structured data (SQL databases, CSV files), time-series data, and multi-table relational datasets. The platform handles numerical, categorical, text, and datetime attributes, making it suitable for diverse enterprise data scenarios.

How does AiDOOS marketplace enhance MOSTLY AI deployment?

Through AiDOOS, organizations gain streamlined procurement, integrated governance frameworks, and simplified integration with enterprise data ecosystems. AiDOOS handles platform scalability, compliance management, and multi-team access provisioning, reducing deployment complexity.

What is the quality of synthetic data compared to real data?

MOSTLY AI's synthetic data achieves statistical fidelity typically exceeding 98% on validation metrics. ML models trained on MOSTLY AI synthetic data demonstrate comparable performance to models trained on real data, making it suitable for production use cases.

How quickly can I generate synthetic datasets?

Generation time depends on dataset size and complexity. Typical datasets generate within minutes to hours on cloud infrastructure. MOSTLY AI's distributed processing enables parallel generation of multi-billion row synthetic datasets at enterprise scale.