SimpleTest
SimpleTest: A focused Salesforce testing platform with strong relational and negative-data generation. Ranked #19 of 25 in AI Synthetic Data Generators by our editors (7.5/10); pricing: Free plan; best for salesforce-focused test-data generation.
At a glance
- Editor score7.5 / 10
- PricingFree plan
- Best forSalesforce-focused test-data generation
- Free planYes
- DeploymentOn_prem
- Facts checked22 Sep 2026

Where it wins
- Preserves foreign-key and lookup integrity across related Salesforce records
- Generates boundary, invalid, international, and negative test data
- Supports API seeding, cleanup, and CI/CD integrations
Where it doesn't
- Its scope is narrower than broad synthetic-data platforms
- Professional starts at $750 per month with annual billing
- Starter limits AI-generated data sets to one per test
Our verdict on SimpleTest
SimpleTest is a no-code AI testing platform for Salesforce, aimed at business users, QA teams, Salesforce administrators, DevOps teams, and enterprise organizations. Its synthetic-data capabilities generate records without production PII, understand database schemas and API payloads, preserve relational lookups and foreign keys, and create prerequisite records for related Salesforce objects. It also supports invalid, international, boundary, and negative cases, giving Salesforce teams a focused way to create test data for varied scenarios.
The published plans show a free Starter tier with prompt-based test creation, record-to-case generation, one AI-generated data set per test, and community support. Professional adds unlimited AI-generated data sets, CI/CD integrations, flaky-test detection, advanced test analytics, GitHub auto-triggering, and email and chat support. It is priced at $750 per month with annual billing or $900 per month with monthly billing. Enterprise adds SSO / SAML, audit logs, Salesforce Security Review assistance, on-premise or VPC deployment, a dedicated account manager, priority support with SLA, and custom contract terms including MSA and HIPAA/BAA.
SimpleTest fits teams that need Salesforce-aware data relationships rather than generic record generation. API injection, on-demand generation during test execution, cleanup after tests, and integrations with GitHub Actions, Jenkins, Azure DevOps, Jira, Gearset, and AutoRABIT support automated testing workflows. The platform also covers broader Salesforce testing, including plain-English test creation, parallel execution, workflow recording, and test maintenance when interfaces change. Choose it for Salesforce-focused testing with negative cases and CI/CD support; consider a broader alternative if your synthetic-data requirements extend well beyond Salesforce.
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SimpleTest pricing
All 3 SimpleTest plans and prices →
SimpleTest fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Deployment | On_prem |
| Relational data | Yes |
| Time-series data | Not verified |
| Unstructured data | Not verified |
| Privacy-risk metrics | Not verified |
| Maximum rows per job | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR, HIPAA, SSO/SAML |
| Support | Email, Live chat, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: GitHub Actions, Jenkins, Azure DevOps, Jira, Gearset, AutoRABIT See all → |
| Pricing | Free plan (source) |
| Website | simpletest.ai |
| Facts checked | 22 Sep 2026 |
SimpleTest integrations
SimpleTest lists 6 integrations on its own site.
- GitHub Actions
- Jenkins
- Azure DevOps
- Jira
- Gearset
- AutoRABIT
See all SimpleTest integrations →
Alternatives to SimpleTest
- MOSTLY AIA broad synthetic-data platform for tabular, relational, and simulated datasets.9.3
- Tonic FabricateAffordable synthetic data generation with relational consistency, validation, and API mocking.9.2
- SynthesizedA free, schema-preserving platform for synthetic data, masking, and database subsetting.9.1
See all SimpleTest alternatives →
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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