Unlock AI-ready data with accurate collection services that scale securely — helping AI systems learn, adapt, and perform intelligently across every modality.
Annotera delivers AI data collection and acquisition services that source raw data and structure it into model-ready datasets for machine learning — helping businesses build training pipelines that are accurate, scalable, and secure. Our global delivery model covers egocentric and exocentric video, images, audio, text, sensor streams, geospatial imagery, conversational logs, healthcare records, and synthetic environments — across multiple modalities and compliance frameworks.
Our specialists handle egocentric capture, geospatial sourcing, conversational data acquisition, synthetic generation, and sensor fusion in alignment with your annotation taxonomy. With over 20 years of outsourcing experience, Annotera delivers compliant, model-ready data for industries such as healthcare, autonomous vehicles, robotics, retail, and financial services. The result is cleaner training data, stronger model performance, and more dependable AI systems in production.
Our AI data collection and acquisition services cover the full intake side of the ML pipeline. Each collection type is scoped with its annotation taxonomy in mind, so what we source flows directly into a labeling-ready dataset.
Third person capture via CCTV, traffic cameras, and drones for object detection, security, and autonomous driving across urban, highway environments.
Still images — product, medical, satellite, retail — pre-sorted for bounding box, segmentation, and classification work across product imaging areas.
Dashcam, sports, manufacturing, and behavior footage for tracking, action recognition, and event detection models across live, archived recordings.
Calls, voice commands, podcasts and ambient sound for transcription, speaker ID, and intent classification across multilingual, noisy environments.
Social posts, chat logs, reviews, and documents for NLP and LLM model training across languages and domains — scoped to the annotation task from the start.
GPS, LiDAR, accelerometer, and temperature streams in real time for smart cities, AVs, and industrial IoT AI systems across indoor and outdoor settings.
Call center and chatbot logs for intent detection, sentiment scoring, and quality classification AI models across voice, chat, email, and SMS channels.
Clinical notes, radiology images, and ECG/EEG data under HIPAA-aware handling for medical AI tools across diagnostics, treatment, and research needs.
Satellite imagery, drone mapping and GIS datasets for agriculture, urban planning, and flood disaster response across rural and metropolitan regions.
Dashcam, sports, manufacturing, and behavior footage for tracking, action recognition, and event detection models across live, archived recordings.
Annotera delivers modality-specific data collection tailored to the compliance requirements, annotation taxonomies, and deployment conditions of each industry — from first-time training sets to continuous production pipelines.
Our methodology blends technology, skilled annotators, and secure workflows, ensuring every dataset is accurate, enterprise-ready, and tailored for industry-specific AI applications.
Annotera blends domain expertise with scalable sourcing workflows to deliver precise, compliance-ready data that powers enterprise-grade AI applications. From egocentric capture to synthetic generation, every feature is built to reduce friction between raw sourcing and annotation-ready delivery.
Specialists scoped per data type egocentric, sensor, geospatial, video, conversational, and synthetic with the right equipment, methods, and quality checks for each annotation task.
ISO 27001-aligned security, SOC-compliant controls, HIPAA-aware healthcare workflows, and GDPR-compliant processing built into every engagement — not added after data collection.
Every dataset is structured against the client's annotation taxonomy from the outset, so data moves directly from raw capture to labeled output without any re-scoping or quality losses.
We deliver secure, scalable, and cost-effective data collection services. Enterprises trust us to power advanced AI and ML training pipelines across every modality and industry.
With over 20 years in outsourcing, we bring proven BPO experience to every collection project. Deep cross-industry domain knowledge ensures reliable, consistent delivery at any scale.
Cost-effective services that maintain high quality so growing businesses can build robust training pipelines regardless of project size without overextending their overall budgets.
ISO 27001-aligned, SOC-compliant processes protect sensitive datasets at every project stage, with encryption and strict role-based access controls ensuring complete data privacy.
Every collection project undergoes rigorous multi-level quality checks before handing off to annotation, reliably guaranteeing high accuracy, and consistency across deliverables.
350+ trained specialists manage data projects of all sizes, with US onshore, nearshore, and offshore delivery capacity, ensuring rapid turnarounds and round-the-clock availability.
Here are answers to common questions about AI data collection, sourcing methods, compliance, and how collection fits into the broader annotation and training pipeline.
AI data collection and acquisition is the process of sourcing and capturing the raw data — video, images, audio, text, sensor readings, or synthetic environments — that machine learning models are trained on. It happens before annotation and determines whether a model has the right examples to learn from. Properly sourced data ensures smarter, more reliable AI across healthcare, autonomous vehicles, robotics, and retail.
AI systems need structured, high-quality raw data before any labeling can begin. Data collection defines what the model can learn — poor sourcing means poor performance regardless of how well the annotation is done. Without a well-scoped collection plan, models risk gaps in coverage, class imbalance, and real-world accuracy failures. Properly collected data ensures stronger model performance and more dependable AI in production.
Annotera supports egocentric and exocentric video, image, video, audio, text, multimodal, sensor, conversational, medical and healthcare, geospatial, and synthetic data collection. Each type is scoped to the specific equipment, consent, and quality requirements of that modality, and structured to feed directly into Annotera’s annotation pipeline.
Outsourcing saves time and reduces costs compared to managing in-house sourcing teams. Annotera provides domain-trained specialists, secure infrastructure, and scalable BPO workflows for projects of any size — including a US onshore option for compliance-sensitive work. By partnering with us, businesses achieve faster delivery, higher accuracy, and a seamless handoff into annotation, making AI model training more efficient and effective.
