kitio.aiAdded Oct 29, 2026
Pienso
PaidNo-code platform to train and deploy language models on your data
What is Pienso?
Pienso lets teams explore text datasets, train custom language models and deploy them without writing code. It is aimed at enterprises doing customer insights, content moderation, document intelligence and risk detection on their own data.
The platform covers exploring a dataset, labeling and training models, and running them on managed infrastructure, with security and performance sections on the site. Its tagline is that it is for anyone with a dataset and a question.
Access is through a demo request, and the site publishes research-style articles on topics such as unlearning and interface design.
Features
- No-code model training
- Custom LLMs
- Document intelligence
- Content moderation
- Risk detection
- Customer insights
Tags
Releases
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Organization
Pienso
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Paid
- Paid options from
- Not listed
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Pros and cons
Pros
- No coding required
- Targeted at enterprise text analysis
- Covers moderation and risk use cases
Cons
- Demo-only access, no public pricing
- Aimed at enterprises
- Fewer self-serve options
Prompts & results
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Q&A
What is Pienso?
Pienso lets teams explore text datasets, train custom language models and deploy them without writing code. It is aimed at enterprises doing customer insights, content moderation, document intelligence and risk detection on their own data.
Do I need to code to use Pienso?
No. The site presents it as a way to explore language data and train models without a line of code.
How do I get access?
The site directs visitors to book a demo.
How much does Pienso cost?
Pienso is paid.
Is there a free version of Pienso?
No. Pienso is a paid tool.
What are the main features of Pienso?
No-code model training, Custom LLMs, Document intelligence, Content moderation, Risk detection, Customer insights.
Who makes Pienso?
Pienso is made by Pienso.
What are the best alternatives to Pienso?
Popular alternatives include Amazon Bedrock, Gemini Enterprise Agent Platform, Microsoft Foundry.