Tonic.ai Blog | Synthetic Data Insights & Engineering | Tonic.ai

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Expert insights on synthetic data

The latest

Why your agents are burning budget and not driving outcomes

Most agent programs track token spend, not business outcomes. Here's why outcome-blind agents get canceled, and what leaders must measure to prove ROI.

Why your agents are burning budget and not driving outcomes

Generative AI

Announcing Distillery: An open-source AI gateway that preserves provider differences

Product updates

The hardest agent to test is the one with the most agency

Technical deep dive

Your agent evals are grading the wrong thing

Generative AI

De-identifying and synthesizing healthcare PDFs of patient lab reports for model training and Expert Determination

Data de-identification

Using roBERTa models + LLMs to improve NER results in healthcare data

Data de-identification

Generate synthetic data without leaving Claude, Cursor, or your tool of choice

Data synthesis

Synthetic data validation: How to trust data that isn't real

Data synthesis

Your attack surface is your data. Mythos is the proof.

Data privacy

Tonic.ai vs. Synthesized.io: Purpose-built depth vs. bundled breadth

Data synthesis

Tonic Fabricate vs Claude: Why synthetic data generation needs more than an LLM

Data synthesis

Generate referentially intact synthetic data across your entire data ecosystem

Data synthesis

Build better and faster with quality test data today.

Unblock data access, turbocharge development, and respect data privacy as a human right.