AI Data Annotation for Computer Vision, LLMs & Autonomous Systems
ASPL delivers production-ready, high-accuracy annotation datasets across Vision, Language, and Multimodal AI. From raw data collection through quality-assured delivery, our PIXEAL-powered platform manages the full annotation lifecycle at enterprise scale.
Request an Annotation DemoWhat Is AI Data Annotation?
AI data annotation is the process of labeling raw data — images, video, text, audio, or sensor streams — so that machine learning models can learn to recognise patterns, objects, and relationships. Accurate, consistently labeled datasets are the foundation of every reliable AI system, from autonomous vehicles to enterprise chatbots. ASPL combines expert human annotators with PIXEAL's AI-assisted tooling to deliver annotation at the speed, scale, and accuracy that production AI demands.
Industries Served
- Automotive & ADAS
- Rail & Infrastructure
- Geospatial & Urban Planning
- Retail & E-Commerce
- Healthcare & Medical Imaging
- Enterprise GenAI & Chatbots
- Food & Consumer Goods
- Social Media & Content AI
Our Annotation Capabilities
Three core services covering the complete AI data lifecycle — from sensor-level perception to language model alignment and governed dataset delivery.
Computer Vision Annotation
Production-ready perception datasets for vision and sensor-driven AI systems
We provide high-precision computer vision annotation across camera, LiDAR (Light Detection and Ranging), radar, and multi-sensor environments. Our annotation supports complex perception and scene-understanding use cases — including object detection, semantic segmentation, keypoint labeling, and 3D point cloud annotation — for ADAS (Advanced Driver Assistance Systems), autonomous vehicles, rail safety, and industrial AI.
Coverage includes
- ▸ Camera, LiDAR, Radar & Multi-Sensor data annotation
- ▸ ADAS & Autonomous Systems perception datasets
- ▸ Rail safety and infrastructure inspection annotation
- ▸ Geospatial feature extraction and mapping annotation
- ▸ Retail and industrial environment scene annotation
Dataset outcomes
- High-accuracy labeled data for object detection, semantic segmentation, and scene understanding across diverse environments
- Consistent, scalable annotation across large multi-sensor datasets with PIXEAL quality controls ensuring 99%+ inter-annotator agreement
LLM Fine-Tuning & GenAI Datasets
Domain-aligned datasets for reliable, safe, and scalable language models
ASPL builds and curates datasets designed for LLM (Large Language Model) training, fine-tuning, and evaluation. Every dataset is engineered for alignment, safety, and contextual relevance — enabling enterprises to deploy GenAI (Generative AI) applications with confidence. Our RLHF (Reinforcement Learning from Human Feedback) annotation pipelines and bias-filtering workflows meet the rigorous standards of enterprise AI governance.
Capabilities include
- ▸ Domain-specific datasets for aligned LLM fine-tuning
- ▸ Instruction-response dataset creation for enterprise chatbots
- ▸ RLHF annotation and model evaluation datasets
- ▸ Bias detection, safety filtering, and content moderation annotation
- ▸ Synthetic data generation for GenAI use cases
Applications
- Domain-tuned LLM datasets for automotive, retail, food, social media, and enterprise AI — reducing model training cycles and improving task-specific accuracy
- Fully governed, quality-assured annotation workflows powered by PIXEAL accuracy controls and human-in-the-loop validation
Dataset Licensing, Selling & Custom Development
Ready-to-use or purpose-built datasets for faster enterprise AI deployment
ASPL offers both licensed ready datasets and fully custom dataset development, enabling faster AI deployment without compromising quality or regulatory compliance. Our end-to-end execution model — from data collection through annotation, QA, and governed delivery — eliminates the operational overhead of building annotation pipelines in-house.
Offerings include
- ▸ Licensed ready datasets for immediate deployment
- ▸ Computer Vision datasets for Automotive, Rail, and Geospatial AI
- ▸ GenAI datasets for Apparel, Food, and Social Media applications
- ▸ End-to-end execution from collection through annotation, QA, and delivery
Delivery
- Delivered through secure ODC (Offshore Development Centre) environments with enterprise-grade infrastructure, data governance, and GDPR-aligned compliance controls
- Custom datasets scoped, annotated, and quality-assured to your model architecture and accuracy requirements
Annotation Types We Deliver
2D Bounding Box Annotation
Rectangular labeling of objects in images and video frames for object detection models.
Semantic & Instance Segmentation
Pixel-level labeling that distinguishes object classes and individual instances within a scene.
3D Point Cloud Annotation
Labeling of LiDAR point cloud data for depth perception, object detection, and spatial mapping in autonomous systems.
Keypoint & Pose Annotation
Skeletal and landmark labeling for human pose estimation, facial recognition, and gesture AI.
Polygon & Polyline Annotation
Precise boundary and lane-marking annotation for road and infrastructure detection.
RLHF & Preference Annotation
Human-ranked instruction-response pairs and preference data for aligning large language models with human intent.
Named Entity Recognition (NER)
Structured text labeling identifying entities such as names, locations, dates, and domain-specific terms for NLP models.
Audio & Speech Annotation
Transcription, speaker diarization, and sentiment labeling for voice AI and conversational systems.
How Our Annotation Process Works
Requirements & Scoping
We align on your model architecture, annotation taxonomy, quality thresholds, and data volume to define a precise project specification.
Data Collection & Ingestion
Raw data is collected or ingested into PIXEAL's secure annotation environment with access controls and audit trails.
AI-Assisted Pre-Annotation
PIXEAL's AI engine generates preliminary labels, accelerating throughput while maintaining human oversight for complex or edge-case data.
Human Expert Annotation
Domain-specialist annotators review, correct, and complete all labels with strict adherence to the agreed taxonomy and quality standards.
Quality Assurance & Validation
Multi-stage QA checks — including inter-annotator agreement scoring, statistical sampling, and model-in-the-loop validation — ensure accuracy targets are met.
Governed Delivery
Finalised datasets are delivered through secure ODC environments in your required format, with full documentation and compliance records.
Industry Use Cases
Autonomous Vehicles & ADAS
LiDAR, camera, and radar annotation for object detection, lane recognition, and pedestrian safety in self-driving and driver-assistance systems.
Rail Safety & Infrastructure
Video and image annotation for defect detection, track monitoring, and obstacle identification in rail AI applications.
Geospatial & Urban Planning
Satellite and aerial imagery annotation for land-use classification, building footprint extraction, and change detection.
Retail & E-Commerce
Product image tagging, shelf-monitoring annotation, and apparel recognition datasets for inventory AI and visual search.
Enterprise LLM & Chatbots
Instruction-response datasets, RLHF preference data, and domain-specific fine-tuning corpora for enterprise conversational AI.
Food & Consumer Goods
Image classification and object detection annotation for food quality inspection, packaging AI, and consumer product recognition.
Why Choose ASPL for AI Data Annotation
PIXEAL-Powered Quality Assurance
Every annotation project runs through PIXEAL, our proprietary AI-assisted QA platform. Multi-stage validation, inter-annotator agreement tracking, and model-in-the-loop checks deliver consistent accuracy across every dataset.
Full Lifecycle Coverage
From data collection and ingestion through annotation, quality assurance, and governed delivery, ASPL manages every step — eliminating the complexity of coordinating multiple annotation vendors.
Multimodal & Sensor Expertise
Camera, LiDAR, radar, text, audio — our annotation capabilities span every modality your AI system requires, including specialised 3D point cloud and multi-sensor fusion datasets that most generalist vendors cannot support.
Enterprise-Grade Security & Compliance
Annotation workflows are executed in secure ODC environments with GDPR-aligned data governance, role-based access controls, and full audit trails — meeting the compliance requirements of regulated industries.
Scalable, On-Demand Capacity
ASPL scales annotation capacity to match your project timeline, from rapid proof-of-concept datasets to multi-million sample production pipelines without compromising quality or turnaround times.
Why ASPL Delivers Where Others Fall Short
Proprietary tooling, domain expertise, and governed delivery set ASPL apart from generalist annotation vendors.
Proprietary PIXEAL Platform
Unlike vendors relying on open-source or third-party tools, PIXEAL is built and maintained by ASPL — giving us direct control over QA workflows, accuracy benchmarks, and annotation governance.
Domain-Specialist Annotators
Our annotation teams include specialists in automotive perception, geospatial mapping, LLM alignment, and medical imaging — not generalist crowdworkers.
End-to-End Accountability
One partner, one SLA. ASPL owns the full data lifecycle from ingestion to delivery, eliminating coordination risk and ensuring consistent quality standards throughout.
Secure ODC Delivery
All annotation is executed in controlled, auditable ODC environments — critical for enterprises handling sensitive, proprietary, or regulated training data.
Powered by PIXEAL
PIXEAL is ASPL's AI-assisted data annotation and governance platform — purpose-built for enterprise annotation at scale.
Customer Benefits
- AI-assisted pre-annotation that accelerates throughput by up to 60% without sacrificing human oversight
- Multi-stage QA engine with inter-annotator agreement scoring and automated outlier detection
- Unified annotation environment supporting 2D, 3D, text, audio, and video modalities
- Role-based access controls, encryption, and audit trails for GDPR and enterprise compliance
- Real-time project dashboards with accuracy metrics, throughput tracking, and delivery forecasting
Production-ready AI data annotation at enterprise scale
Tell our annotation team about your data requirements and we will scope a solution around your model, timeline, and accuracy targets.
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