Data collection, annotation and evaluation services

Encord combines expert annotation services, AI-assisted tooling, and real-world data collection infrastructure so your team can build models that work in deployment.

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One partner across the full data lifecycle

Encord covers every stage of the data development process for teams building physical and multimodal AI systems. One unified service that feeds insights straight back into your collection plan, so data bottlenecks never show up in your model's performance.

Video

Image

Audio

LiDAR

Text

Document

Geospatial

HTML

The data flywheel

Turn production deployment into a training signal. Route low-confidence predictions back into annotation queues, track for failure modes that are underrepresented, and continuously tighten your training distribution.

The data flywheel

Data collection

Encord collects data at the source using in-field operators, teleoperation facilities, and configurable lab environments, designing the collection protocol with your team before any of it scales.

Curation and visualization

We help you find the data that actually improves your model, through embedding-based search, similarity queries, and plain-language filtering.

Annotation and evaluation

AI-assisted annotation with SOTA model integrations, domain expert matching, and structured QA workflows. We work across video, LiDAR, DICOM, audio, text, and code.

Deployment feedback

Human-in-the-loop supervision at deployment through remote teleoperation. Using data from real world model failures, we help you continuously iterate on your data collection and annotation policies.

We’re a design partner, not a fulfillment vendor.

Before anything scales, we work with your team to define what good looks like for your specific task – maintaining full traceability across every decision so you can diagnose quality drift if it happens later.