Fixensy provides services such as creating high-quality, unbiased training data, annotation, and model evaluation necessary to develop machine learning models such as the following.
For AI development, we collect unbiased data tailored to the project in various countries and languages.
We create high-quality training data by annotating all kinds of data, including images, videos, audio, text, and point cloud data.
Perform user testing and benchmark performance against competitors to identify potential performance gaps and prepare the data you need to optimize performance.
We ensure your content and landing pages are relevant to search, content content, culture, and target needs to deliver quality results.
Evaluate the performance of specific sites and content and provide diagnostics to help you achieve your business goals.
After confirming better results in blind tests, you can confidently update your model to optimize performance and drive success.
Match tags with customer search terms to improve content recommendations.
Divide similar songs, videos, products, etc. into fixed categories (classes).
Supports all types of data including images, videos, audio, text, and multimedia.
Check the authenticity of your content with newsfeed and social media ratings.
Make sure that relevant content and products are displayed for search keywords.
Make sure your map app shows the latest information, including correct location information.
Ensure point-to-point navigation is accurate, safe, and efficient.
Check to see if there are any discrepancies between the company's actual status and business information, such as business hours, address, and website.
Rapid data delivery is possible even when high-quality, large-scale data is required.
We collect unbiased data using cloud resources of more than 1 million people around the world in accordance with cloud ethics standards.
Exclusive use of local experts and optional multiple linked regions ensure data is aligned to your target market.
Access rich datasets specific to your requirements and fully train your models with the right information to better respond to real-world scenarios.
Build the best natural language processing, understanding, and automatic speech recognition solutions with human-annotated audio data from over 235 languages and dialects.
Access large amounts of high-quality linguistic data (recordings, transcriptions, annotations, and localizations) to enable models to accurately understand and respond to human speech in multiple languages, dialects, environments, and contexts.
We provide multilingual text data collection services that support major languages and dialects.
We collect a huge amount of text data, which is essential for improving the accuracy of AI chatbots, according to language and locale.
We perform video annotation necessary for object detection from surveillance cameras and fixed-point cameras of drones, object detection in autonomous driving areas, and creation of training data for human detection systems.
Speed up the annotation process by selecting the best model from your model library. Outputs can be sent to crowdworkers for review and editing as needed.
You can draw a bounding box around the text in an image and do automatic transcription in the same step. Obtain localized text for more robust OCR training data.
Create image annotation jobs using polygons, dots, lines, rotated bounding boxes, and ellipses, and collect additional object information on shapes using ontologies for faster, more flexible, and more accurate image annotation.
Label images pixel by pixel for computer vision models. Use PLSS for highly accurate labeling down to the pixel level, improving accuracy and performance.
An intuitive annotation interface lets you manage annotations for multiple types of point cloud data, including LiDAR , radar, and other scanners/sensors, in the same project.
We offer multilingual text data collection services in all major languages and dialects. Our text utterance collection and text generation services enable you to collect large volumes of high-quality, customized text utterances and generate scenario-based responses for chatbots and conversational AI models to handle any conversation scenario.
Extend NLP labeling by relating named entities and parts of speech to help models form relationships in text content for deeper understanding.
You can improve your model's cognitive capabilities by highlighting and classifying relevant entities and training it to derive important information from large amounts of text.
Understand the intent behind customer inquiries and gain insights from customer interactions to increase the chances of meaningful conversations.
We use this data to rank search results and improve the user experience by training models that return the most relevant results for your searches.
Together with language experts, we evaluate and improve the naturalness and relevance of sentences generated by machine translation and AI translation tools.
Collect large amounts of high-quality, customized voice data for training virtual assistants with voice recognition, voice search features, Voice to Text features, and more. Provide data collection as a standalone service or as part of a multi-component deliverable.
Create an ontology that organizes the items and events that your application needs to understand and facilitates the relationship between textual information and item properties.
Create user scenarios based on your application's features and train your chatbot to answer user inquiries easily and accurately.
The world's cloud is available for accurate, high-quality annotation of keywords, entity types, intents, sentiment, and other meaningful elements in natural language.
Measure model success, identify areas where course correction is needed, and support design and performance improvements.
Take advantage of pre-labeled datasets containing over 10,000 hours of audio data in over 200 languages.
We leverage a diverse global network of over 1 million crowdworkers to create unbiased training data.
Superimpose digital objects onto physical objects and mediate interactions.
Display descriptive labels on images and scene components.
Trigger an image effect that matches the keyword spoken.
Displays translations superimposed on texts such as books and road signs.
Create custom characters, environments, and other graphic objects.
We support the creation of virtual characters that imitate human behavior.
We support the construction of motion interaction systems that faithfully imitate human movements.
Split audio into layers, speakers, and timestamps for speech recognition and other audio models, and train models to accurately identify different speakers and other audio cues.
Leverage built-in NLP models to improve transcription quality and efficiency, transcribe spoken words to text, and validate machine-generated transcriptions to accurately train speech recognition models.
Use phonetic or utterance classification to classify speech based on language, dialect, meaning, and other characteristics. This process helps train models to understand spoken language.
We help you create a thorough, structured foundation for your project and a tailored plan for quality assurance.
We provide expertise in translation tools and scripts to improve translation quality and streamline projects.
We engage in careful communication to understand our customers' needs and business objectives.
We aim to predict project issues, diagnose them in advance, and smoothly resolve them.
Responsible for day-to-day project management and human resources functions
Translation quality evaluation helps you focus on areas for improvement and improve your translation standards.
We create a database of previously translated texts and always assign the same translation to the same word, improving the quality of translation.
Achieve consistent translations by appropriately managing natural language ambiguities and dialects.
Check that the translated text is consistent.
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