Transform your imagery into intelligence with RAIC Monitoring
Visual data is rich with potential insights, but traditional methods for analyzing it at scale are expensive, time-consuming, and inflexible. RAIC Monitoring overcomes those barriers empowering organizations with insights where and when they need them most.
Overcome conventional AI obstacles and unlock the value of your visual data
Utilize custom or prebuilt models and advanced model observation capabilities to deliver consistent and pertinent results.
- Real-time model changes using RAIC Embeddings
- CPU-based processing
- Human-in-the-Loop Model Overwatch
- Support for hosted or edge models
- Pre-trained and custom model support
Key AI challenges solved
Use any AI model and leverage state-of-the-art artificial intelligence (AI) capabilities to move your organization towards its goals faster than ever before.
Domain drift
Real-time model updates to account for misaligned training and incoming data
Data silos
Deploy models and incorporate real-time inference results into existing systems and workflows
Expensive compute
Cost-effective CPU-based training and inference for greater flexibility and scalability
RAIC overwatch
Ongoing refinement of models, regardless of where the model came from.
- Use a custom model built on your data
- Select one from our model library
- Bring your own model
Retraining is a thing of the past
Today’s world moves fast — your AI needs to move faster. RAIC Overwatch allows users to adapt or modify the model's behavior or outputs based on new data or conditions without going through the traditional, time-consuming retraining process.
Designed for confidence
With human-in-the-loop workflows, model observation, and performance enhancing capabilities, RAIC was built to deliver results users can trust. Keep an eye on performance the RAIC Overwatch dashboard highlighting key confidence scores indicating your models precision, recall, and accuracy.
Robust, reliable, and repeatable monitoring workflow
Step 1: Deploy
Deploy your model to the cloud, on edge or on premise
Step 2: Run
Run inference, or operationalize the model against your data
Step 3: Review
Review models performance and detection results
Step 4: Optimize
Categorize results to “nudge” the AI to refine the output
Unleash your greatest asset: your data.
Our team of experienced AI consultants will work closely with you to identify the right artificial intelligence technologies, tools, and strategies that will help you streamline your business operations, improve customer engagement, and maximize profitability.