Kiln
6.2#13 in ai data analysis toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitKiln vs Vizly
What both publish
| Fact | Kiln | Vizly |
|---|---|---|
| Company | The website footer identifies Kiln AI as Chesterfield Laboratories Inc. | Vizly says it is owned by Aggregate Intelligence and retains a focus on accessible, user-friendly analytics. |
| Intended users | Kiln describes its audience as engineers, data scientists, product managers, QA, and subject matter experts working on AI systems. | Vizly describes its audience as researchers, professors, data analysts, business leaders, and teams seeking accessible analytics. |
| Product | Kiln describes itself as an AI workbench for teams to build and optimize AI systems, including evals, fine-tuning, and optimization. | Vizly is a conversational AI data analyst that lets users ask questions about data and get charts, explanations, and insights. |
| Security | Kiln says its Python library is MIT-licensed and its source-available desktop app has public CI builds and checksums for every release. | Vizly says uploaded data is encrypted in transit and at rest and stored in an isolated environment accessible only to the user. |
| Support | The Individual plan includes community support, Team includes email support, and Enterprise includes SLA and priority support. | Official pages direct users to email support at [email protected] and provide a getting-started guide rather than a large public developer documentation set. |
Kiln plans
- IndividualFree
- EnterprisePriced on request
- TeamPriced on request
Vizly plans
- FreeFree
- Basic$19.99 a month
- Basic (legacy)$19.99 a month
- Researcher$19.99 a month
- Premium$29.99 a month
- Premium (legacy)$29.99 a month
Pick Kiln if…
Kiln suits teams building AI applications that need repeatable evaluation, agent inspection, fine-tuning, and optimization. It also fits organizations wanting local JSON data, Git synchronization, provider choice, or offline operation.
Pick Vizly if…
Vizly suits researchers, professors, analysts, business leaders, and teams who want to explore data with natural-language questions. It can also suit users who need interactive charts or shareable reports and exports.