Pienso

Pienso is a no-code AI document intelligence platform that enables subject matter experts to explore, train, and deploy machine learning models on unstructured text data without writing code. The platform features a four-step workflow: Ingest, which accepts raw unstructured data from emails, contracts, phone logs, and documents and categorizes it into topics; Train and Fingerprint, which puts users in the loop to refine categorization with their domain expertise; Annotate, which applies trained models to quickly label datasets; and Data Set Analysis, which enables fine-tuning and discovery through visualizations. Pienso also offers PromptFactory for constructing production-caliber prompts without code. The platform supports multiple LLMs, allowing users to switch models as needed, with deployment in cloud or on-premises environments under enterprise security policies. Customers own their models with full control over parameters, paying only for deployed models. Use cases include customer insights (analyzing call data for sentiment and churn prediction), content moderation (flagging harmful content with nuanced moderation), document intelligence (classifying and tagging documents, detecting risk areas), and cyber crime prevention. Founded in 2016 and headquartered in Brooklyn, New York, Pienso has raised approximately $17 million in Series A funding from investors including Latimer Ventures, SRI, Uncork Capital, Good Growth Capital, Eniac Ventures, Indicator Ventures, E14 Fund, MIT Alumni Angels, Differential Ventures, Alumni Ventures, and Scopus Ventures.

Business Intelligence > Unstructured Data Analytics > Text Analytics > Internal > Document Search,

Big Data Analytics > Data Analytics > Text Analytics,

AI Infrastructure > Natural Language Processing > Text Solutions > Text Analytics

Company Wise > Microsoft,

College Wise > Massachusetts Institute of Technology