Data collection

Artificial intelligence is only as smart as the data it’s fed. Leverage AI to your advantage with high-quality data from Andovar.
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INTRO

Fueling AI for Smarter, More Dependable Systems

Without high-quality data, artificial intelligence (AI) systems fail to reach their full potential. Andovar specializes in providing data that can be used to train and improve AI systems. We offer a range of data services, from collecting and cleansing data to linguistic processing and machine translation engine development. By working with Andovar, you can ensure that your AI system is being fed premium quality data, allowing it to become smarter and more dependable.

Your text data is a valuable resource for training machine translation technology. By using your documents, you can help improve the accuracy of translations. This is because the more data that is available, the better the machines can learn to identify patterns. So, by supplying your text data, you are contributing to the overall quality of machine translation.

    Audio is an important source of data that can be used to train improved automated solutions. For example, speech-to-text and text-to-speech conversions can be trained using audio data. Audio data can also be used to improve the accuracy of automatic translation.

      Video data is increasingly being used to train AI systems. One area that is seeing particular success is gesture recognition. By studying video footage of people from different cultures, AI systems are learning how to interpret body language and gestures so gestures can be used to control apps. This technology has the potential to revolutionize the way we interact with devices.

        Info
        Applications

        Data Projects

        Increase efficiency with automation, including chatbots and Ai-powered translation.

        Gesture-Based Apps

        Gesture-Based Apps

        Virtual Assistants

        Virtual Assistants

        Machine Translation

        Machine Translation

        Chat Bots

        Chat Bots

        Text to Speech (TTS)

        Text to Speech (TTS)

        Voice Recognition

        Voice Recognition

        Data Collection

        Crowdsourced data collection for speech, translation and video solutions

        Voice data collection

        Voice data collection, also sometimes referred to as speech data collection, involves gathering and measuring audio data. This data can be obtained from a variety of sources and is used by machines to recognize words, identify accents, and determine sentiment. It can be used to improve voice recognition software, build better speech-to-text applications, and create more lifelike virtual assistants.

          Text-to-speech (TTS)

          Text-to-speech (TTS) is a type of assistive technology. It reads digital text aloud, which is why it’s sometimes called “read aloud” technology. With TTS, all you have to do is click a button or touch a finger to the screen, and the software will convert the text into Audio.

            Conversational Data

            Conversational data refers to naturally occurring dialogue for the purpose of machine learning. This can be an oral or written exchange of sentiments, observations, opinions, or ideas between two or more people. The data can be unstructured, such as in a casual conversation, or structured, such as in an interview. The important thing is that it is not created specifically for the purpose of training a machine learning algorithm.

              ANNOTATION

              Provide Multilingual Data Solutions for Remarkable Human Experiences

              Data Collection

              Speech data transcription is used to train and validate voice recognition algorithms. This is important for a variety of applications, such as voice assistants and customer service bots. Transcribing speech data helps to ensure that these algorithms are accurate and capable of understanding human speech.

                Data labeling is an important part of developing and training machine learning models. It allows developers to train models to more accurately recognize and classify data. For example, if a developer wants to train a model to identify different types of animals in images, they will need to label each image with the appropriate animal class. Data labeling can be done manually or automatically, depending on the type and amount of data available.

                  Why Andovar?

                  If you're looking for accurate and reliable data solutions for AI, Andovar is the go-to partner. We use the best technology the industry has to offer to deliver high quality data to empower your innovations.

                  Human

                  Human

                  With a pool of over 10,000 linguistic experts and a team of professional project managers dedicated to sourcing the most optimal data for your project, we provide all necessary crowd management capabilities for sourcing data from anywhere around the globe while maintaining an ethical approach that protects participants' privacy throughout each project cycle.

                  Tailored

                  Tailored

                  We provide high-quality training data and work with industry’s best tools that are customizable to your specifications and needs - providing a personal, tailored approach to ensure your project achieves the best results.

                  Scalable

                  Scalable

                  The more scalable the AI solution, the more reliable it is in returning the results that determine the outcome of good or bad transactions. We provide fast, efficient & scalable AI solutions for a range of data services, enabling and supporting your solution’s rapid growth.

                  Case Studies

                  Success Stories

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                  Agoda

                  Audiences across Europe and Asia can now access Agoda’s extensive travel services in their own languages.

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                  Spotify

                  Reaching out to music lovers in Thailand, Spotify translated its user interface into Thai, expanding into a new market.

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                  Airbnb

                  Preparing to launch in a new region, Airbnb wanted to adapt its marketing content and localize its app and videos.

                  Grow your world.

                  Talk to an expert

                  Please provide a little bit of information in the form below and we will be in touch soon. If you are interested in working for Andovar (as translator/ SLV or full-time employee), please visit our careers site.