When Real Data Hits a Wall!
Generate high-quality, statistically robust synthetic datasets that mimic real-world data behavior — without exposing sensitive information.
What is Euclid?
Euclid SDaaS is a high-fidelity, industry-agnostic Synthetic Data as a Service (SDaaS) platform designed to solve one of the biggest challenges in modern data-driven decision-making:
How do you build, train, or test when real data is limited, biased, incomplete, or off-limits?
With Euclid, you can generate high-quality, statistically robust synthetic datasets that mimic the structure and behavior of real-world data — without ever exposing sensitive or private information.
When to Use Euclid.
Euclid is ideal when real data falls short — whether due to cost, access, volume, privacy, or feasibility.
Low Incidence or Hard-to-Reach Segments
e.g., first-time credit card users, rare disease patients, enterprise software defect cases
Privacy-Constrained Environments
e.g., GDPR, HIPAA, CCPA-restricted projects
Early-Stage Testing and Forecasting
e.g., new product simulations, risk modeling, A/B test frameworks
Bias Elimination and Fairness Optimization
e.g., balancing gender, ethnicity, region for model training
How It Works.
Seed Data or Structural Schema
Use your own schema, distributions, or even anonymized signal as a base.
Synthetic Generation Engine
Built on GANs and VAEs, Euclid creates datasets that retain statistical integrity while ensuring zero data leakage.
Validation & Auditing
Every output is benchmarked against real-world patterns and can be tested for utility, bias, and divergence.
Use Across Systems
Download as CSV, push to your model pipeline, or integrate via API — no vendor lock-in.
Industry Applications.
Euclid SDaaS is designed to work across verticals:
Financial Services
Credit scoring, fraud testing, regulatory sandboxes
Healthcare & Life Sciences
Synthetic patient journeys, clinical trial simulation, disease progression modeling
Logistics & Supply Chain
Synthetic shipment flows, demand forecasting, route optimization
Retail & E-commerce
Purchase journey data, personalization engine training, edge-case modeling
AI/ML R&D
Model pre-training, synthetic labeling, fairness optimization
SaaS / Tech
User behavior datasets for QA, regression testing, and product experimentation
Why Euclid SDaaS?.
Privacy-by-Design
100% synthetic, non-identifiable data — no consent or redaction required
Speed & Scale
Generate millions of records in minutes — tuned to your schema and logic
Cost-Efficient
Reduce dependency on real-world data collection by 30–50%
Statistical Validity
Data that reflects true distributions — not random or imputed
No Simulation, No Personas
Euclid is a data engine — not a simulation tool or behavior generator
Who Uses Euclid?.
Enterprises
For internal testing, R&D, and AI model development
Research Agencies
To fill data gaps in low-response or hard-to-target cohorts
Tech Teams
For QA, training, and CI/CD environments
Analysts & Scientists
For scenario-building and exploratory modeling
Compliance Teams
As a safe alternative to PII-based datasets
Case Studies.
