Data collection services

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AI requires data

Data collection for AI

For Artificial Intelligence applications to reach their full potential, they require large quantities of high-quality data. In some cases, organizations may already have access to the data they need to train their AI solutions; the data just requires high-quality annotation to be effective. However in other cases, companies need to collect additional data to ensure a healthy data pipeline that will support their AI deployments, whether it be for training, testing, or evaluation purposes.

Collecting data at scale is a challenging undertaking, particularly in light of privacy laws and other current regulations. In addition, when data is required from locations around the globe, it becomes increasingly labor-intensive to succeed at a large-scale or complex data collection effort. For these reasons, working with an experienced partner can significantly accelerate the creation of reliable data pipelines and help organizations move from pilot to production with greater speed and confidence.

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LXT for AI data collection

With over 12 years of experience working with leading global innovators to support or scale their AI initiatives, LXT has the expertise to design a custom data collection program for a wide range of use cases. From creating the AI data collection methodology to delivering high-quality data, our end-to-end solutions ensure that our clients receive training data that adheres to current legal and regulatory standards.
AI requires data

Data collection methods

Our methods range from full-service data collection by qualified engineers to 100% crowdsourced. We’ve worked in over 115 countries and continue to expand into new markets. We can meet our clients’ requirements — no matter how complex — for a wide range of characteristics including age, gender, device type, OS, language fluency levels, and more. Data can be collected using LXT’s proprietary tools or with any type of equipment our clients might require. This includes setting up secure recording locations to test out prototype devices.

Data types include:

Audio
Gestures
Handwriting
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Speech
Text
Utterances
Video
Wake-up words

Environments include:

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Home
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Office
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In-vehicle
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Studio
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Context-of-use specific settings


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Use Cases

We collect data to support the development of a range of technologies, including but not limited to the following:
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Automated Speech Recognition (ASR)

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Language detection

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Wake-word detection

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Optical Character Recognition (OCR)

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Text-to-Speech (TTS)

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Speaker identification

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Computer Vision

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Script generation through crowdsourced text collection

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Augmented Reality and Virtual Realty (AR/VR)

High-quality data annotation

High-quality data annotation

Once data is collected, annotation allows the AI system to understand the context of the data and use it to make accurate predictions, solve problems and more. LXT provides end-to-end solutions where we collect the data, as well as transcribe or annotate it.

According to Statista, global data creation is projected to grow to more than 180 zettabytes by 2025. With this exponential growth and the behavioral changes that this reflects, the machine learning models powering your AI solutions may need weekly or even daily training. As a result, teams building AI solutions need to collect and annotate data on a regular basis to capture evolving trends in human behavior.

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Reliable AI data at scale — guaranteed

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