Data Annotation for AI in Energy and Utilities
Get training data for AI in utilities, from energy grid and pipeline monitoring to drone utility inspection and renewable asset analysis.
REQUEST PILOTTrusted by
200+ customers
Solving Data Challenges for AI in Energy
Grid Infrastructure & Smart Grid Analytics
Rare defect classes underrepresented in training data
Conductor and insulator defects lost at low resolution
Thermal, RGB, and LiDAR data rarely aligned
AI in Renewable Energy Teams
Module and blade defects vary by weather, angle, and season
Soiling, shading, and hotspots mislabeled as true faults
Thermal-RGB pairs scarce for module inspection
Utility AI & Inspection Technology
Corrosion and component defects unlinked to grid asset IDs
Labels from multiple inspection vendors fail to align
Defect labels lack traceability to reviewers and guideline versions
Energy and Utility AI Use Cases We Support
Train drone power line inspection models to detect grid components, defects, and corrosion.
Build clearance models for vegetation management utilities with aerial and LiDAR data.
Detect faults across solar and wind assets.
Train inspection models on corrosion, cracks, and leaks.
Build 3D ground truth for asset-level digital twins and maintenance planning.
Structure maintenance text for classifiers linking symptoms to outcomes.
Train drone power line inspection models to detect grid components, defects, and corrosion.
Build clearance models for vegetation management utilities with aerial and LiDAR data.
Detect faults across solar and wind assets.
Train inspection models on corrosion, cracks, and leaks.
Build 3D ground truth for asset-level digital twins and maintenance planning.
Structure maintenance text for classifiers linking symptoms to outcomes.
How We Work
Discovery
call
Book a call or fill out a contact form to discuss your needs with our team.
Pilot
project
Send sample data and receive annotations at no cost to evaluate quality.
Custom
proposal
Get a tailored plan with scope, timelines, and transparent pricing.
Data
annotation
Scale up with dedicated, vetted teams and multistep QA workflows.
Delivery
and iteration
Receive export-ready data and iterate as your model evolves.
Estimate Your Costs
For other use cases
send us your request to receive a custom calculation
Send your sample data to get the precise cost FREE
Why Energy AI Teams Choose Label Your Data
Data Annotation for Complex Environments
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Structured Quality from Pilot to Production
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Flexible and Scalable Operations
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
An Integrated Delivery Partner
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Projects Led by Annotation Experts
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
Scale Energy AI Projects with
Production-Ready Training Data
talk to our experts
Reviews
What Our Clients Say
Label Your Data has successfully collected data from public sources, annotated missing skeletons, and validated pre-annotations for almost 15,000 images. Although their instructions are sometimes unclear, the team has received praise for their flexibility and speed. They also communicate via email.
Jack Prescott
Software Engineer, Nex
Label Your Data has delivered high-quality data labels, which have received positive client feedback. Their team produces outputs on time and solves challenges without upselling. They also communicate effectively through virtual meetings.
Ben Niehaus
CTO, SpexAI GmbH
Label Your Data's support has been crucial in developing the client's computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.
Piotr Swierczynski
Director of Engineering, NODAR
Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client's portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team's communication skills.
Josha Bharadwa
Software Architect, Searidge Technologies
Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.
Luca van Skyhawk
VP of Customer Success, Hypatos GmbH
After engaging with Label Your Data, the client has seen a reduction in error rate and success with model accuracy running on production. The team delivered on time and was communicative in their approach. The client was impressed with the steps Label Your Data took to ensure accurate QA testing.
Radouane Kaddari
Machine Learning Engineer, Peter Park
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After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.
Maxime Debarbat
Senior ML Engineer (GenAI)
Trusted by ML Professionals
FAQs
Does the EU AI Act affect utility or critical-infrastructure AI?
Yes, the EU AI Act classifies AI systems used as safety components in critical infrastructure, including power, water, and gas, as high-risk under Annex III. High-risk obligations were extended to December 2, 2027 under the AI Omnibus, but documented data governance and traceable training data remain the direction of travel. We operate under that model by default.
How does Label Your Data handle data security and compliance requirements for energy AI projects?
Label Your Data operates under ISO 27001, GDPR, and CCPA, with PCI DSS Level 1 controls for payment-adjacent workflows. We support data residency requirements, vetted-team workflows, and customer-defined storage and transfer rules, and we can provide documentation utilities typically request during vendor risk review.
Can I securely share inspection or sensor data with Label Your Data?
Your data can be transferred through your preferred secure channel, including client-managed cloud, private VPC, or on-premise arrangements. Access is role-based and logged, so you can work within your existing security requirements rather than adapting to ours.
How long does a typical engagement with Label Your Data take, from utility AI project pilot to production?
Pilot turnaround depends on dataset size and complexity, and is confirmed during the discovery call. Production timelines scale with volume and are set during the proposal stage. Talk to our experts to get all the details.
How is Label Your Data different from a generalist data annotation vendor for energy AI projects?
General-purpose annotation vendors optimize for data volume and price per object. We are a specialized AI data partner for critical-infrastructure environments, with rare defects, multi-sensor fusion, and asset-hierarchy requirements that determine whether an inspection model is actually deployable. Our delivery model at Label Your Data is human-first with embedded quality assurance (QA).