LucetaTM Data Agent for AWS by Solidigm
Easy Annotation with Data Agent
What is the Data Agent by Luceta?
Something we're seeing consistently across the industry is companies investing heavily in image data collection, but the path from raw data to a working model keeps stalling at the same bottlenecks: aligning on ground truth, manual labeling, and standing up a reliable training pipeline.
With the Luceta Data Agent, we take images stored in S3 buckets and allow for the team to setup smooth annotation work flows in a collaborative process that helps reach ground truth even accross locations and time zones. This cloud-native software is purpose-built to eliminate the most persistent bottleneck in AI model development for vision teams. The Luceta Data Agent turns raw image data into reliable, annotated ground truth datasets faster, collaboratively, and at scale.
The Process
Pre-Req: Images are in S3, Application running in your AWS environment
1. The Admin will create a "Job"
1a. Tagging the images that need annotating
1b. Set "success" criteria and rules for "agreement" of an annotation
1c. Assign people to do the annotations
2. Users both annotated images and agree/disagree with other annotations.
3. Upon metrics met, use annotated dataset to create your model.
Data Agent Features
- AI-Assisted & Generated Annotations
Luceta's built-in AI engine analyzes your images and automatically generates annotation suggestions before your team lifts a finger.
- Job-Based Image Assignment to Subject Matter Experts (SME)
Admins can package specific image sets into structured annotation jobs and assign them directly to various team members.
- Admin Monitoring & Resolution Dashboard
Admins get a real-time, birds-eye view of every active annotation job. Track overall job progress, monitor completion rates, and instantly identify how many images are flagged for resolution — all from a single dashboard.
- SME Conflict Review & Adjustment
As a subject matter expert, you can review exactly where the disagreement lies, revisit the image in full context, and make an informed adjustment so every label in your dataset reflects true expert consensus before it ever reaches your model.
For more information, send email to industrialAISW@solidigm.com, or go to https://www.solidigm.com/products/software/ai-software.html .
Save Time
Improve Accuracy
The Benefits
- Reducing Tediousness of Labeling
Automate the repetitive work of manual image labeling so your team can focus on decisions that actually require human expertise.
- Head start on Labeling (AI Suggestions)
AI pre-populates annotations before your experts ever touch an image, cutting labeling time dramatically from day one.
- Clean Ground Truth
Automatically surface disagreements between annotators and resolve them in one place, so your ground truth is clean and consistent before training begins.
- Find/Creating Problem Images for Training
Identify and flag edge cases, ambiguous images, and hard-to-classify samples that strengthen your model where it needs it most.
- Improved Model Training Processes
Feed your model higher-quality, conflict-free labeled data that reduces retraining cycles, improves accuracy, and shortens your path to deployment.
- Outlier Detection
Proactively detect anomalous or underrepresented images in your dataset before they introduce bias or blind spots into your production model.
Pricing & Availability
- Free 30-Day Trial Version- limited users and data exports
- Professional Version (coming soon) – fixed price subscription (monthly or annual)
- Enterprise Full-Featured Version – custom pricing
- Standard product support included
- Contact us for a demo, trial, or quote
Request a demo, start a risk free trial, or get a price based on your precise needs.
Release 2026.2
(Available July in AWS Marketplace)
- Easy data annotation and automatic labeling
- Consensus workflow systems to zero in on ground truth easily across team members
- Designed for AWS, contact us for other cloud platform support trials and timelines
Solidigm Confidential | Luceta AI Software Suite | To request a proof-of-concept kit, email: industrialAISW@solidigm.com
1 Customer validated data
2 Measured by Solidigm and tested with customer deployment
3 Calculated with real example based on $100k losses due to visual escapes and measures Luceta performance
4 Calculated with internal estimate and quoted hourly rate for data science support at $500/hr
5 Measured by Solidigm and tested in customer deployment