AI Innovation Starts Here

In-house data experts who manage delivery of 1B+ content relevance judgments each year for the largest technology companies

Our crowd contains 1M+ contributors across 235+ countries ensuring your product can provide accurate results for a global audience

Exclusive use of local, in-market experts with option to specify multiple interlocking demographics to ensure data is aligned with your target market

Identify and organize relevant information that the intended audience will find valuable

Read, understand, interpret, and analyse queries to determine their relevance

Create customized marketing materials ensuring increased visibility for a specific company or product

Ensure content and landing pages are relevant to query, context, culture, and needs of the target audience to deliver high-quality results

Read, understand, interpret, and analyse queries to determine their relevance across a variety of multimedia platforms

Confidently deploy model updates after validating delivery of better results in a blind test to optimize performance for success

Newsfeed and Social Media evaluations ensure content is credible and reliable

Label pre-specified images with attributes

Review content to determine if it’s offensive, violating, or otherwise contains information that may be sensitive to consumers

Access ample datasets specific to your requirements to ensure your model is well trained with the right information to react appropriately to real world scenarios

Build the best natural language processing, understanding, and automatic speech recognition solutions with human-annotated speech data in over 235 languages and dialects

Access large volumes of high-quality language data (recordings, transcription, annotation, localization) to ensure models can accurately understand and respond to human speech in multiple languages, dialects, environments and contexts

We offer multilingual Text Data Collection Services in all major languages and dialects

Partner with our experts to collect text data specific to domain, language and locale in a wide variety of settings enabling you to build robust NLP systems and expand into new geographic markets

Collect a wide variety of images and videos that can be used to train ML models

Collect both short and long form audio clips in a variety of languages and dialects

Utilize light image sensors to collect data on distances between objects

Data collection from multiple sources including text, image, audio, speech, LiDAR and POI

Collect data on a specific location

Data collection can occur across a variety of environments including studio, home, office, in-car, and public spaces. Sourcing can occur through Appen’s internal tools or through ones provided

Choose from video classification, transcription, object tracking (with additional Speed Labeling capabilities to automate across frames), object detection, and time stamping

Speed up the annotation process by selecting the best fit model from the model library. Send the output to contributors to then review and edit as needed

Draw a bounding box around text in an image and auto-transcribe it in the same step. Obtain localized text for more robust OCR training data

Create image annotation jobs using polygons, dots, lines, rotating bounding boxes and/or ellipses and collect additional object information in shapes using ontologies for faster, more flexible and more accurate image annotation

Label images pixel-by-pixel for your computer vision models. Use PLSS for very precise labeling down to the pixel level and enhance accuracy and performance

Manage annotations for several types of point cloud data including LiDAR, Radar, and other types of scanners/sensors in the same project, using our intuitive annotation interface

We offer multilingual Text Data Collection Services in all major languages and dialects. Our Text Utterance Collection and Text Generation services can gather large volumes of high-quality, customized text utterances or generate scenario-based responses to ensure chatbots and conversational AI models are trained for all conversation scenarios

Expand on your NLP labeling by connecting named entities or parts of speech within relationships so your models form connections and greater understanding of textual content

Highlight and categorize relevant entities and train your model to derive key information from big volumes of text to improve the cognitive ability of your model

Increase chances of having a meaningful conversation by understanding intents behind customer queries and get insights from customer interactions

Rank search results and improve user experience by using this data to train models to return the most relevant search results for the customer’s query

Evaluate and improve the naturalness and relevance of the text generated by NLP models, such as machine translation models and other sequence models, with the help of our multi-lingual specialists

Gather large volumes of high-quality, customized speech and audio data for training voice-prompted virtual assistants, voice-activated search functions, voice-to-text capabilities and more.​​ We provide data collection as a standalone service and as part of a multi-component deliverable

Create an ontology to organize items and events your application needs to understand and facilitate relationships between text information and item properties.

Create user scenarios based on your application’s functionality, so your chatbot is well trained to easily and accurately answer user inquiry

Access our global crowd to for accurate, high-quality annotation of keywords, entity types, intents, sentiment, and other meaningful elements of natural language

Measure model success, identify which areas of your model need course correction, and support you to refine design and performance

Leverage our catalog of 270+ datasets with 11K+ hours of transcribed speech data

Harness our diverse crowd of more than 1+ million contributors to gather unbiased model training data to match your application scenarios

Overlay digital objects on physical ones and mediate their interaction

Display descriptive labels on images and scene components

Trigger image effects that match spoken keywords

Overlay translations on books, street signs and other text

Create bespoke characters, environments, and other graphical objects

Create virtual characters whose behaviors mimic human interaction

Create movement interaction systems that closely mimic human movement

Collect a wide variety of images and videos that can be used to train ML models

Segment audio into layers, speakers, and timestamps for your Audio Speech Recognition and other audio models, training your models to accurately identify different speakers and other audio cues

Leverage built-in NLP models to improve transcription quality and efficiency and transcribe spoken audio into text or validate machine-generated transcriptions to accurately train Audio Speech Recognition models

Use sound categorization or utterance classification to classify audio based on language, dialect, semantics, and other features. This process helps train models to understand spoken cues

Help create a well-thought, structured foundation for your project and tailored quality plan to deliver the right kind of data

Provide tooling and scripting expertise to improve quality and reduce timelines

Communicate carefully to understand and relay your unique objectives

Predict, diagnose, and overcome project challenges

Take on day-to-day project management and personnel functions

Translation quality evaluation to focus on areas that need improvement to increase the standard of your translations

Database storage of previously translated segments to aid human translators

Manage and optimize natural language ambiguities and vernacular for consistent translations

Ensure language use and outputs are consistent with a set of consistency checks to ensure your updates are valid