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Pienso
Use Machine Learning to explore language data without a single line of code.

What is Pienso?

Pienso is a no-code platform that empowers subject matter experts to harness the power of machine learning for language data analysis. It enables users to ingest raw and unstructured data, categorize it, and train custom AI models without writing a single line of code.

The interactive interface allows users to refine model categorizations, ensuring that the AI aligns with their specific expertise. Pienso supports deployment in the cloud or on-premises, providing full control over models and ensuring data privacy. It also provides tools to experiment, evaluate, and reliably deploy machine learning models.

Features

  • Ingest: Accepts raw and unstructured data, analyzes text, and categorizes it into topics.
  • Train and Fingerprint: Refine initial categorizations, train models, and imprint user knowledge.
  • Annotate: Applies trained models to quickly label datasets.
  • Data Set Analysis: Fine-tune models, search for insights through visualizations, and track language evolution.
  • PromptFactory: Construct production-caliber prompts without code.
  • Deployment Flexibility: Deploy fine-tuned LLMs in your own environment or via cloud partners.
  • Model Ownership: Complete control and ownership of your trained AI models.

Use Cases

  • Customer sentiment analysis
  • Content moderation
  • Document intelligence and classification
  • Risk detection and management
  • Triaging urgent customer issues
  • Analyzing call data
  • Detecting disinformation
  • Cybersecurity threat analysis

FAQs

  • How do I get started?
    The provided content does not offer a specific answer, but suggests booking a demo.
  • Do I need to know how to code to use Pienso?
    No, Pienso is designed to be used without any coding knowledge.
  • How does Pienso use my data?
    Pienso operates in-cloud or on-premise, meaning your data remains entirely yours and is not used to train Pienso's own models.

Related Queries

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Pienso Uptime Monitor

Average Uptime

100%

Average Response Time

203.93 ms

Last 30 Days

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