Quickly derive insights from large, unlabeled geospatial, video, and image datasets without time-intensive human labeling or pre-built models.

Synthetaic’s Rapid Automatic Image Categorization (RAIC) is an unbiased tool that meets users’ ever-changing analytic demands for their perpetually-evolving datasets, at unrivaled speed and scale.

How it works

RAIC enables users to find and classify anything in minutes, not months, without labeled data. Simply provide a single example object image, or use the Dall-E integration to find one, and RAIC will find similar objects in your unlabeled dataset and return contextually-related results. You can then improve the AI by identifying the best results through an intuitive human nudge tool. From there, you can run inference jobs and turn results into insights using dashboarding tools or existing analytics platforms.

Use cases

RAIC is agnostic - any industry, any use case can derive valuable insights from vast datasets with RAIC. Clients have seen rapid time-to-value with:

Anomaly detection
Object detection
Situational awareness
Trend identification
Baseline insight capture
Domain awareness
Disaster impact measurement

Key benefits

Increased efficiency: process large amounts of unstructured data quickly to make more informed decisions in less time
Improved accuracy: analyze data with a high degree of accuracy, reducing the risk of errors that can occur with human-only review
Cost savings: automate tedious repetitive tasks, reducing the need for human labor, saving on resources in the short and long run
Better decision-making: provide data-driven insights that can help organizations make better decisions over and over again
Built for business: no coding experience required, built for any industry and any use case, built to scale, and built for quick time to value

RAIC - Enterprise-Ready AI InsightsSynthetaic, Inc.

RAIC - Enterprise-Ready AI Insights

Synthetaic, Inc.

RAIC - Enterprise-Ready AI Insights

Synthetaic, Inc.

RAIC - Enterprise-Ready AI Insights
Synthetaic, Inc.