Data Annotation Services

Text-based data provides businesses with unique insights. However, text also has many semantics, making ai data annotation services tricky. As an experienced data labelling company, we will ensure that your AI model receives bias-free, correct data for processing.

Audio data is dynamic and has a multitude of nuances. Factors that a data annotation solution must consider when processing audio files are language, emotion, intent, demographics, dialect, and even behavior and non-verbal cues, like silence or background noise.

You need the services of an image annotation company if you want to build any solution that uses facial recognition. Even filters used for photos on social media are powered by specifically trained AI models. Robotics and Computer Vision are other areas where AI training must include image annotation.

Video and image annotation outsourcing go closely together because AI interprets video as a series of images (frames). In addition video annotation also learns movement patterns in the images accounting for factors like motion blur, location, etc. To complete higher difficulty tasks data annotation services for machine learning turn raw data into labeled training sets that ML models can learn from. So that your project is ready to work with precise data from the beginning. Alltegrio specialists can train AI to discern the exact patterns you require.

First, data must be collected from all sources and transferred to a centralized location. Alltegrio can process any type of data, including images, audio, video, texts, notes, records, etc.

Next, all data must be processed and translated into formats that the AI model can use for training. For example, videos will be transcribed, and text files formatted to meet your requirements.

Your data labeling company will establish specific guidelines that humans and the data annotation solution used for the process will use as a guideline to maintain accuracy and consistency.

Data labeling and annotation services are initialized after all preparations for cleaning and translating data are complete. The process must adhere to clear guidelines to ensure quality results.

Alltegrio data annotation services always include rigorous QA testing to ensure the quality and accuracy of the results. We will review all processed data and employ blind annotations for cross-checking.

After data annotation services are complete, the data is exported in your required format to be delivered to your AI model for processing. We will use specialized tools for quick and safe data exports.

Annotation volume rarely stays the same through an AI or ML project. A pilot might need a few thousand labeled images, and production can need hundreds of thousands, along with fresh data every month to retrain the model as real-world inputs change. Hiring and training in-house annotators for each spike takes months, and the team sits idle between them. A data annotation company already has trained annotators, so it can add people when volume grows and scale back when it drops. At Alltegrio, we start with a pilot batch to agree on labeling guidelines and quality targets, then apply the same guidelines as volume grows, so the labels in your ten-thousandth batch match those in the first.

Healthcare records, insurance claims and financial documents often contain personal data that can’t leave a controlled environment. Before sending these datasets to annotators, Alltegrio can anonymize or pseudonymize them, removing names, IDs and faces so annotators see only what the task requires. Every annotator signs an NDA, access is limited to the specific project, and files are transferred over encrypted channels. With an office in Warsaw, we can handle annotation and labeling under GDPR requirements for EU data. Outsourcing to a vendor with these controls in place reduces your legal and data breach risks compared to sharing datasets with freelance labelers.

Mislabeled examples, duplicates and inconsistent formats teach AI and ML models the wrong patterns, and no amount of tuning fixes that later. Before annotation starts, Alltegrio removes duplicate and corrupted files, strips personal data such as names and faces where required, and converts everything into a single format. During labeling, we check each batch against a gold-standard set and send a share of items to two annotators independently, so disagreements get caught and resolved. We also check the balance between classes, so rare cases aren’t underrepresented in the training set. The finished dataset is delivered in the format your pipeline expects, such as COCO, YOLO, JSON or CSV.

When you outsource data annotation services, your model can learn from data your team doesn’t have the time or expertise to label, such as new languages, dialects, product categories or medical imaging. Alltegrio’s AI data annotation services include custom taxonomies for these domains, so you can extend an existing model to new markets and audiences instead of building one from scratch. Our data labeling and annotation services also cover mixed data types, which lets you add image, audio or video features to a product that started with text alone.