Data masking and test data management · RankedTonic.ai
Tonic.ai is a data masking and test data management product that creates synthetic data for developer teams · tonic.ai ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
DataVeil is first at 18%.
DATPROF Privacy is first at 22%. 2 of 14 models made it the first choice when asked directly.
Perforce Delphix is first at 27%.
Why models recommend it
“Tonic.ai is widely considered the market leader for mid-market and high-growth B2B companies”Gemini 3.5 Flash · Direct question · first choice
“Top Recommendation (Best Overall for Modern Cloud Stacks): Tonic.ai”Gemini 3.5 Flash · Paraphrase question · first choice
“My Top Recommendation: Tonic.ai”Kimi K2 · Paraphrase question · first choice
“My default pick: Tonic.ai”GPT-6 Luna · Direct question · first choice
What gives them pause
“enterprise data masking platforms (like Tonic.ai, Delphix, or Informatica) can be cost-prohibitive”Gemini 3.5 Flash · Budget-constrained question · warning
Also on the shortlist
The products named in the same answers as Tonic.ai, over the 53 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 32 | 3 | Compare → | |
| 28 | 3 | Compare → | |
| 27 | 0 | View → | |
| 24 | 9 | Compare → | |
| 16 | 6 | Compare → | |
| 16 | 3 | Compare → | |
| 15 | 2 | View → | |
| 13 | 0 | View → | |
| 10 | 0 | View → | |
| 9 | 2 | Compare → |
What the models named instead of Tonic.ai →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Tonic.ai's own site, not checked by Gane.
- For
- engineering and AI teams
- Price stated
- Free $0 per month; Plus $29 per month; Enterprise Custom pricing; Professional Custom pricing; Pay-as-you-go; Custom Pricing
- Starting price
- 0
- Free plan or trial
- Start free
- Certifications
- HIPAA, PCI DSS, GDPR, SOC 2 Type II
- Customers named
- Patterson Companies, Wellthy, Flexport, eBay, Paytient, Hone, Pax8, Everlywell
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 47 of the 53 answers that named Tonic.ai and are not a share of its labels.
Domains cited
117 of the 154 domain citations in answers naming Tonic.ai came from a third party's page. Eighteen were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 2 | 1 | 1 | 1 | 5 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 3 | 0 | 0 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 1 | 1 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
What it publishes
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 138 | 8 | 2026-09-23 | Data catalogs | |
| Report or ebook | 98 | 1 | 2026-07-14 | Compliance automation | |
| Template or tool | 84 | undated | |||
| Webinar or virtual event | 37 | undated | |||
| Glossary or explainer | 37 | undated | |||
| News or press | 26 | undated | Data catalogs | ||
| Conference or event | 19 | undated | |||
| Comparison | 18 | 5 | 2026-07-22 | ||
| Case study | 17 | 1 | 2026-07-07 |
Most recent
- 2026-09-23De identification ai data licensing blog
- 2026-09-04Who should de identify company data blog
- 2026-08-13Why agentic ai projects get canceled blog
- 2026-08-07Announcing distillery open source ai gateway blog
- 2026-08-04Testing agents with agency blog
- 2026-07-30Agent evals data problem blog
How it is countedHide how it is counted
Every page tonic.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.