Precision Data Annotation & Natural Language Solutions for ML/AI Engineers.
Welo Data ensures next level solutions tailored to your data needs. Our seasoned solutions architects have deep experience in designing solutions for a wide range of data annotation, data collection, and taxonomy development projects.
With our 27+ years of experience in language services, Welo Data’s multilingual expert workforce offers the expertise needed to collect or annotate all data types (text, audio, image, or video). Our formally trained linguists and subject matter experts do whatever it takes to understand your project, build robust taxonomies, and ensure consistent application of labeling and classification schemes.
ML Engineers Innovating
Faster Together.
Welo Data’s ML engineering team consults with the world’s leading data science and engineering teams to streamline labeling annotation efforts with effective pre-labeling solutions.
Sentiment Analysis
Sentiment analysis is annotating text data with labels used to help train models to identify the polarity and/or emotional tone expressed in a piece of text. Depending on your model needs or project objective, Let our team of Expert linguists advise how to build the right training data set.
Polarity – identifying whether a piece of text is positive, negative, or neutral
Emotional States – identifying if and how various emotions, such as anger, sadness, joy, etc. are expressed in a piece of text
Named Entity Recognition
Named Entity Recognition (NER) is the identification and labeling of entities in text data. Welo Data’s generalist and specialist annotators label utterances, text snippets, or full documents following your custom labeling schema.
Domain-specificity – our subject matter experts are leveraged to work with your domain-specific data or labeling schema
Taxonomy robustness – labeling specialists with the experience and expertise needed to annotate the data are identified based on the robustness and complexity of your taxonomy
Text Summarization
Text Summarization is the creation of a short, accurate, and fluent summary of a longer text document. Welo Data’s writers have a broad range of experience and expertise to complete domain expert writing and validation for your use case.
Extraction – identify topic sentences and/or key information or details from text
Abstraction – paraphrase or synthesize information from one or more pieces of text .
Taxonomy Development
Taxonomy Development is creating a classification system that categorizes and organizes information based on specific criteria, aiming to establish a structured framework for efficient information retrieval and organization in various applications or annotation projects. Welo Data is dedicated to ensuring cultural and domain specific nuances are captured in your taxonomies.
Building general or domain specific taxonomies
Integrating or expanding existing taxonomies to support additional languages or locales
Audio, Video, Text Classification
Classification is the assignment of a task-specific label to an audio/video segment or file or to a textual utterance, snippet, or document. Welo Data ensures high-quality outputs from our multilingual workforce to apply classification techniques to a wide range of data types.
Binary Classification is the categorization of the data into one of maximally two classes. For example, determining if an utterance does or does not include a request to a chatbot.
Multiclass Classification is the categorization of the data into one of three or more classes. For example, determining the type of request made to a chatbot. If multiple requests are made, the utterance is labeled with the most salient type of request.
Multi-label Classification is the categorization of the data into at least one class (i.e. more than one label can apply). For example, determining each type of request made to a chatbot. If multiple requests are made, the utterance is annotated with all relevant labels.
Image & Video
Image, Video, and multisensor / multispectral labeling includes object labeling and tracking, as well as scene classification and captioning. Welo Data helps our clients to build strong, effective taxonomies, culturally attuned teams, and processes to deliver highly accurate and effective image and video datasets.
Object Identification –
Bounding boxes, key points, polylines, polygons, and semantic/instance segmentation to determine what is in an image or video.
Object Tracking –
Linked and grouped object identification to track movement through a video or other time series data.
Multimodal/sensor fusion –
Labeling across media types, such as video and audio, or multiple input modalities, such as infrared, UV, LIDAR (Light Detection and Ranging), SONAR, RADAR, and more.
Scene Analysis –
Metadata, classifications, descriptions, and more to understand what is happening in a scene for categorization or querying
Specialized Workforce – leveraging specializations in the workforce for complex or custom labeling tasks
Entity Linking
Entity linking is the disambiguation of entities or relationships between entities mentioned in a piece of text. Welo Data considers the complexity of your annotation project to identify the skills needed for our generalist, specialist, and linguistic annotators to produce high quality annotated data for your needs.
Co-reference is identifying and linking entities that refer to the same real-world entity despite being mentioned using different names, pronouns, or expressions, ensuring that multiple mentions in a document that refer to the same entity are correctly linked together
Relationships can also be identified and classified between entities based on explicit statements which disambiguate the roles, associations, or dependencies expressed in a text
Knowledge Graphs / Knowledge Bases can also be used to disambiguate between entities mentioned in a piece by linking the entity mention to a unique identifier in the knowledge graph or a knowledge base
What’s the Difference?
Quantifiable improvements, not just promises.
What we do 
Gen AI:
Our domain experts and Generalists power LLM model training to improve output for your end users
Model Training:
We gather and meticulously label data to create a high-quality dataset tailored to your requirements.
Data Collection & Labeling:
We gather and meticulously label data to create a high-quality dataset tailored to your requirements.
Evaluation & Iteration:
Continuous evaluation and iterative improvements ensure your models maintain peak performance.
Results
Accuracy Boost
> 10% increase in task-specific accuracy upon each iteration
Innovation
Averages of F1 scores >65% on complex, emerging projects
Quality Scores
>90% Quality Measures across scaled programs
Contact Us Today
You have questions. We have answers. Contact us today to talk about your next project and discover what’s possible!
The realism of generative AI models is increasingly reliant on trusted, high-quality human feedback. Welo Data has been a leader in this space for years and is helping us unlock the promise of generative AI.
AI Search Engine leader, 2024