AI-assisted labeling
Data labeling is a critical step in training accurate, effective models—but it’s also one of the most time-consuming and resource-intensive.Traditional manual labeling approaches create bottlenecks, delaying progress and driving up costs.
RAIC Labs offers a better solution. Our AI-assisted labeling platform is designed to empower AI teams with the tools they need to train models faster, more efficiently, and with less manual effort.
Jumpstart AI training with high quality data
The cold start problem slows down progress and increases costs of AI-assisted labeling. RAIC Labs eliminates this challenge with a unique, AI-first approach utilizing advanced embeddings. This enables users to organize and categorize data immediately, without needing to train an initial model.
No data prep
RAIC analyzes raw data eliminating the need to label or prep your data for AI
No models needed
RAIC can search data for any object without requiring pre-trained models of any kind
No technical skills
The intuitive RAIC platform allows users with little to no technical skills to harness the full power of AI
Flexible search options
Start with a single object of interest and immediately search, label, and prototype detection models—all within a single platform without any preexisting models.
- Upload one or many images from your computer
- Search online with our Bing image integration
- Select sample image from your raw data
- Generate image with our Dall-E integration
Human-in-the-loop review
Human-in-the-loop workflows enhance AI-driven data labeling by combining automation with human expertise to ensure accuracy and quality. Results are visualized in a clustered context map, grouping similar samples to simplify categorization and class-building for training.
This collaborative approach leverages the user’s subject matter expertise, enabling real-time iteration and refinement of the AI for faster, more effective model development.
Analyze your imagery in 4 simple steps
Step 1: Ingest
Upload your unstructured image, geospatial or video data directly to the RAIC cloud
Step 2: Search
Immediately search your data for any object of interest with as little as a single image
Step 3: Categorize
Select the results that suit your needs to create labels and refine the AI results
Step 4: Export
Export quality training data sets or integrate into your existing AI pipeline (CVAT, Label Studio, etc.)
Who benefits from accelerated AI-powered image labeling?
Data Scientists & AI Developers
- Streamline workflows and develop high-performing AI models faster with precise, high-quality labeled data.
Startups
- Shorten time to market by transforming raw data into actionable insights with scalable, AI-driven labeling for training data.
Enterprises
- Effortlessly scale data labeling for a variety of use cases, from quality inspections to autonomous system development, with unparalleled accuracy and efficiency.
Measurable results with RAIC's AI Accelerator
50%
More usable data
2000+
Labels in 5 minutes
400%
Increase in detections
Why RAIC Labs?
Accelerating AI with advanced embeddings and vector search enabling teams to scale AI without scaling labor.
Embeddings
- Seamlessly generate, store, search, refine and manage embeddings for enhanced AI workflows.
Retrieval
- Perform fast and accurate embedding searches with advanced features like filtering, faceting, and aggregation.
- Categorize and organize data efficiently to drive insights.
Custom meta and object detections
- Create tailored embedding spaces with customizable meta detections and object detection capabilities.
Optimized for diverse visual data types
- Designed to handle multiple unstructured imagery types for maximum flexibility and scalability.
Data ingestion tools
- Leverage an API framework, connectors, and command-line tools to streamline data integration.
Leading AI teams trust us with their data pipelines
Save time, cut costs, add value.
Are you ready to fast track your path to AI? Contact us to see how AI-assisted labeling can transform your ML pipeline.
let's talk