RLHF & LLM Evaluation
Preference ranking, response comparison, safety review and structured human feedback for model training and evaluation.
Discuss service ↗ AI data operations for production systems
Precision data for serious AI.
Human-reviewed datasets, evaluation signals and automation workflows built for teams that need quality they can measure and delivery they can trust.
0%reported accuracy
0+datasets delivered
0hrfast turnaround
LYDR / QUALITY ENGINE
LIVE
99.8QA SCORE
01Ingest
02Annotate
03Verify
04Deliver
Throughput signal+18.4%
Human review activeQuality gate 3/4
◉ RLHF
⌁ LiDAR
◫ Vision
≋ Audio
RLHF & LLM EvaluationImage AnnotationVideo AnnotationLiDAR & 3DMultimodal AIAudio & TranscriptionAI Automation
RLHF & LLM EvaluationImage AnnotationVideo AnnotationLiDAR & 3DMultimodal AIAudio & TranscriptionAI Automation
CAPABILITIES
Data operations built for modern AI teams.
High-accuracy human workflows, practical automation and clear QA systems across language, vision, spatial and audio data.
Image & Video Annotation
Bounding boxes, polygons, segmentation, keypoints, tracking and frame-level labels for vision and robotics systems.
Discuss service ↗LiDAR & 3D Point Cloud
Cuboids, object tracking, classification and semantic segmentation for autonomous and spatial intelligence systems.
Discuss service ↗Multimodal AI Annotation
Aligned text, image, audio and video labels for vision-language models, multimodal evaluation and generative AI.
Discuss service ↗Audio & Transcription
Speech collection, transcription, diarization, language review and quality-controlled datasets for ASR and TTS.
Discuss service ↗AI Automation
AI agents, operational workflows and integrations that reduce repetitive work and connect business systems.
Discuss service ↗QUALITY SYSTEM
Scale without losing the details.
We structure every workflow around explicit acceptance criteria, layered review and visible quality signals—so volume can grow without turning accuracy into guesswork.
01Guideline-first execution
Clear taxonomy, edge cases and examples before scale.
02Layered quality review
Operator review, QA sampling and targeted rework loops.
03Continuous calibration
Error analysis feeds back into training and instructions.
QA99.8%target quality
HumanReview
AIAssist
QAAudit
DataDelivery
PROCESS
A production workflow you can actually see.
From first sample to sustained delivery, each phase has a clear purpose, quality gate and owner.
Discover
Understand data, taxonomy, edge cases, throughput and acceptance criteria.
Pilot
Run a production-like sample and calibrate instructions, tooling and QA.
Scale
Expand trained capacity, monitoring and delivery cadence without losing control.
Improve
Use error analysis and feedback loops to sharpen the workflow over time.
SELECTED WORK
Built around real AI workflows.
Representative data operations across language, vision, robotics, spatial intelligence and speech.
Response A
Response B
Preference0.86
LANGUAGE AI
RLHF preference evaluation
Human comparison and ranking designed for model alignment and evaluation pipelines.
car
person
VISION & ROBOTICS
Image and video annotation
Object, action and scene labels for computer vision and robotic perception systems.
Speech detected98.7%
SPEECH AI
Audio collection & transcription
Multilingual speech data, diarization and quality control for ASR and evaluation.
ABOUT LYDERTRONICS
Human judgment, engineered into the data pipeline.
Lydertronics is an AI data intelligence company focused on annotation, evaluation, collection, quality assurance and automation. We combine trained human judgment with disciplined operations to support dependable AI systems.
Talk to our team ↗0+core capability areas
0quality stages per workflow
0hrfast-response capability
0%human review where it matters
START A PROJECT
Bring us the messy data.
Share your data type, volume, timeline and quality requirements. We’ll help shape a practical pilot and delivery plan.