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Squirro’s AI Studio is the no-code platform for data classification cases such as document type classification or signal identification. Classify or categorize your data into varying classes based on specific attributes to allow for more efficient data management and retrieval.
Structured in three easy steps, the AI studio supports the full MLOps lifecycle. The AI Studio is all you need to gain valuable insights from your data without ever writing a line of code.
Squirro’s Model-as-a-Service (MaaS) provides data scientists with an end-to-end solution for deploying and maintaining their machine learning (ML) models in a production environment.
MaaS takes away many of the technical nuances involved so that you can do what you do best: build and run models that deliver meaningful insights and predictions.
"Great and clever use of data to empower the company and business for mutual benefit."
“It is a nice tool that absolutely helps to connect our business and customers, taking the maximum possible advantage of advanced analytics.”
Industry: IT Services
Company Size: 3B - 10B USD
“Efficiently manages data to provide useful insights.”
“Squirro utilizes data to the fullest and transforms it into useful insights using technologies like Artificial Intelligence and machine learning. The analytics it runs on the data and predictions it provides for the next best action is spot on. The documentation and training provided helped in onboarding this tool without any problem.”
Industry: IT Services
Company Size: 1B - 3B USD
Explore your data, identify relevant classes, and label or import existing training data through the easy-to-use interface.
Combine ground truth with pre-configured ML templates to train, validate, and publish models.
Select published models and directly deploy them to the ingestion pipeline with the comprehensive pipeline editor. Any ingested item will now be automatically classified.
Choose one or more data sources, such as databases, file systems, or APIs, for your models to run on.
Choose from your own ML models or others created in the AI Studio to enrich your data during the ingestion process.
Utilize a flexible UI to create a diverse range of end-user applications, from dashboards and reports to alert systems, visualizing your classified data effectively.