Data Generation Services

Data Generation

Synthetic datasets, edge case manufacturing, and data augmentation — so you can train powerful AI before collecting millions of real-world examples.

RUN FREE PILOT
Data Generation Pipeline
0 samples generated
synthetic_imgImage1,000pending
gen_textText1,420pending
edge_caseVision1,454pending
augmentedImage1,070pending
persona_dataNLP621pending
synthetic_speechAudio520pending
sim_lidarPoint Cloud860pending
gen_tabularTabular1,328pending
Live Generation

Trusted by leading brands

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Your data problem
has a human solution.

🚀

AI Startups (Cold-Start)

Your model can't learn without data — and gathering real-world data at launch is expensive and slowWe generate high-quality synthetic datasets calibrated to your target distribution, so you can train before you have real data
🔬

Research Labs

Controlled synthetic data lets you test hypotheses without the ethical and legal constraints of real datasetsWe generate benchmarks, stress-test distributions, and edge-case sets for rigorous academic and industrial research
🤖

Simulation & Robotics Teams

Domain randomization for sim-to-real transfer requires diverse, parameterized synthetic training data at volumeWe generate sensor data, environment variations, and object configurations for robotics policy training at scale
⚡

Edge Case Builders

Your production model fails on rare events that don't appear in your training corpus — we recreate them syntheticallyFrom adverse weather in autonomous driving to rare pathologies in medical imaging, we manufacture the long tail

Synthetic Text

Generate high-diversity NLP corpora for LLMs tuned to your domain and style.

Data Generation Pipeline
0 samples generated
synthetic_imgImage1,000pending
gen_textText1,420pending
edge_caseVision1,454pending
augmentedImage1,070pending
persona_dataNLP621pending
synthetic_speechAudio520pending
sim_lidarPoint Cloud860pending
gen_tabularTabular1,328pending
Domain-Specific Corpus GenerationInstruction-Response PairsConversational Dialogue Synthesis

A Futureproofed Pipeline

We exist for a future where data scarcity never blocks AI development — synthetic data bridges the gap from idea to production.

Step 1

Free Pilot

Step 2

QA Review

Step 3

Proposal

Step 4

Start Generating

Step 5

Delivery

Why Projects Choose Engai for Data Generation

0M+
Samples Generated
15x
Faster Than Collection
55%
Cost Reduction

Distribution-Matching Synthesis

We calibrate synthetic data to match your target population distribution, not generic benchmarks.

Privacy-First Generation

Synthetic data contains no real PII or proprietary information — zero compliance exposure by design.

10x Data Expansion

Multiply your labeled dataset by 10x or more using validated augmentation and synthesis pipelines.

Safe and secure

Your trust is our foundation. Engai is designed with a deep commitment to data privacy and security.

AICPASOC2
★ GDPR ★
INFORMATION SECURITY
ISO
27001

Start Free Piloting your ML project !

fill up this form to send your pilot request

Discover how Engai's Data Pipeline and AI Infrastructure platform can make your organization AI-ready:

  • Automatically discover and map all datasets with contextualized inventory

  • Effortlessly manage ML lifecycle and address governance gaps

  • Drastically reduce deployment time by mitigating edge-case risks

  • Immediately detect and respond to model drift to minimize threat impact

  • Proactively apply zero-trust protection mechanisms for proprietary data

Live Infrastructure Telemetry

1.2BData Points
189Models
24Pipelines
3Alerts
TypeOriginOwnerStatus
Vision ModelGitHubDave DigsterHealthy
DatasetAWS S3Emily ThompsonSyncing
DeploymentGCPRobert BrownActive

Zero-Trust Dataset Confidentiality

Your requirements and proprietary sample assets are encrypted in transit and never used for public model training.

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By submitting this form, I confirm that I have read the privacy policy and agree that my name and email address will be collected and used by Engai for the purposes of sending marketing communication, promotions and updates. [email protected]

Support Center

Frequently Asked Questions

We use a combination of statistical validation, FID (Fréchet Inception Distance) scoring for image data, perplexity benchmarks for text, and distribution overlap analysis to ensure synthetic samples match your target domain. All generated datasets include quality metadata and validation reports with each delivery.