Acquire bespoke synthetic data that mirrors reality

Get high-fidelity, domain-specific synthetic datasets for model training, fine-tuning, RAG pipelines, achieving evaluation targets, and agentic testing. Built fast, scaled cheaply, and indistinguishable from the real thing.

Unlock new possibilities with synthetic datasets

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Train where real-world data can’t go.

Develop bespoke datasets for model training and fine-tuning when real-world data is inaccessible or nonexistent. Our synthetic datasets mirror real-world structure and semantics, making them ideal for pretraining, alignment, and vertical LLM development.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Test agents and evaluate model performance with control.

Design synthetic data tailored for testing autonomous agents, evaluating edge cases, achieving evaluation targets or benchmarking model behavior in safe, scalable environments without the messiness or constraints of production data.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Specialize AI systems with domain-specific data.

Fuel healthcare, finance, legal, and other industry-specific AI systems with synthetic data engineered for realism, compliance, and performance complete with human-in-the-loop validation when needed.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Monetize your data, without sharing it.

Transform your private datasets into high-fidelity synthetic data through redaction, or synthesis. License the outputs and earn royalties without exposing raw data or violating privacy standards.

Real. Fake. Data.™
Built responsibly and delivered as a service.

Tonic Datasets delivers high-fidelity synthetic datasets through a flexible, collaborative process by combining schema-driven generation, seed-based synthesis, and expert validation to produce data that mirrors reality without compromising privacy, speed, or scale.

1

Intro call

Meet with a Tonic data expert to define your use case, data needs, and desired outcomes.

2

Scoping and design

Your dedicated expert scopes the dataset, defines the structure, and aligns with you on key success criteria, whether starting from a schema, seed data, or spec.

3

Sample generation

Tonic.ai generates an initial slice of synthetic data to validate quality, structure, and pricing.

4

Sign-off

Meet with your dedicated expert to align on timeline, terms, and the full dataset spec.

5

Pilot run

Tonic.ai delivers a first batch for feedback, iteration, and refinement.

6

Full deployment

Tonic.ai generates, validates, and delivers complete, high-fidelity datasets, engineered for your model or system.

Datasets + Ephemeral gives you everything you need to generate, license, and activate high-quality synthetic data without infrastructure overhead or security risk.

Datasets creates realistic, domain-specific synthetic datasets ready for training, evaluation, and testing

Ephemeral delivers these datasets in isolated, fully hydrated AI environments you can spin up on demand, perfect for evaluations and training workloads.

Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.