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Kiln
NewVerified
Build and fine-tune AI models without writing code.
Overview
Kiln is a no-code platform for creating and customizing AI models through visual workflows. It's designed for teams without machine learning expertise who need to build production-ready models quickly. The platform combines data preparation, model training, and deployment in a single interface.
Pros
- Visual workflow builder eliminates need for coding skills
- Integrated data preparation and model training in one platform
- Deploy trained models to production without additional tooling
- Supports multiple model types and frameworks out of the box
- API access enables programmatic model integration and automation
✕ Cons
- Limited customization compared to code-based ML frameworks
- Learning curve for understanding model configuration options
- May not suit highly specialized or research-focused use cases
Key Features
No-code visual workflow editor
Automated data preprocessing
Multi-framework model support
Model fine-tuning interface
One-click deployment
API and integration layer
Use Cases
Business analysts building predictive models for forecastingProduct teams customizing pre-trained models for specific needsNon-technical stakeholders creating classification or regression modelsCompanies automating model lifecycle without ML engineering teams
Best For
Product TeamsBusiness AnalystsAI PractitionersData ScientistsStartup Founders
Frequently Asked Questions
What is the pricing model for Kiln?▾
Kiln offers a no-code platform with flexible pricing tiers based on usage and model complexity. Specific pricing details are available on their website, with options for startups, teams, and enterprises.
How steep is the learning curve for getting started?▾
Kiln is designed with an intuitive interface that enables users without ML expertise to build models quickly. Most teams can start creating and fine-tuning models within hours of onboarding.
Does Kiln support integrations with other tools and APIs?▾
Kiln provides API access and integration capabilities to connect with external data sources and downstream applications. Check their documentation for specific integration options with your tech stack.
What are the main limitations of Kiln?▾
As a no-code platform, Kiln may have constraints on highly custom model architectures or advanced hyperparameter tuning compared to code-first frameworks. Complex research use cases might require additional scripting.
What is the ideal use case for Kiln?▾
Kiln excels at helping teams rapidly prototype and deploy AI models for business applications, particularly when synthetic data generation or fine-tuning pre-trained models is needed without deep ML engineering resources.
Pricing Plans
Free
Custom
- Up to 3 vaults
- Basic asset management
- Community support
- Manual backups
ProMost Popular
$99/monthly
- Unlimited vaults
- Advanced asset management
- Priority email support
- Automated daily backups
Business
$499/monthly
- All Pro features
- Team collaboration tools
- Advanced security controls
- Dedicated account manager
Enterprise
Custom
- Custom infrastructure
- White-label solutions
- 24/7 phone support
- SLA guarantees
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