LXT: The only aid any company needs

The Silicon Review

Using global linguistic, cultural, and technological expertise, the team creates high-quality datasets tailored to the clients’ needs. Whether it's customized collection or annotation, the team provides meaningful data to propel AI/ML applications. LXT is dedicated to powering the technologies of the future through data generation and enhancement across every language, culture, and modality. AI is the future. It holds the ability to transform existence and benefit humanity. The team helps drive that transformation. LXT is an emerging leader in AI training data to power intelligent technology for global organizations. In partnership with an international network of contributors, LXT collects and annotates data across multiple modalities with the speed, scale and agility required by the enterprise.

The global expertise spans more than 145 countries and over 1000 language locales. Founded in 2010, LXT is headquartered in Canada with presence in the United States, UK, Egypt, India, Turkey and Australia. The company serves customers in North America, Europe, Asia Pacific and the Middle East. The team of experts brings decades of AI data experience to the clients. They thrive on helping customers solve their complex data challenges. Whether the clients need to collect data to train the clients’ machine learning algorithms, annotate existing data, or both, LXT delivers high-quality data, fast and at scale.

Exclusive services LXT provides its clients

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, the end-to-end solutions ensure that the clients receive training data that adheres to current legal and regulatory standards. The methods range from full-service data collection by qualified engineers to 100% crowd-sourced. The team has worked in over 145 countries and continues to expand into new markets. The team can meet the 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 the clients might require. This includes setting up secure recording locations to test out prototype devices.

Data Annotation: With over a decade of experience working with leading global innovators to support or scale their AI initiatives, LXT has the expertise to design a custom data annotation program for a wide range of use cases. From creating the AI data annotation methodology to delivering high-quality data, the end-to-end solutions ensure that the clients receive training data that adheres to current legal and regulatory standards. LXT provides annotation services across a range of data types, including audio, image, speech, text and video. The team also work across multiple annotation modes including the own platform, the client’s platform, or within one of the secure facilities. The quality guarantee ensures that the clients receive training data that meets or exceeds their quality standards.

Data Evaluation: With over a decade of experience working with leading global innovators to support and scale their AI initiatives, LXT has the expertise to design a custom evaluation program for a wide range of use cases. From creating the evaluation methodology to delivering high-quality data, the end-to-end solutions ensure that the clients receive training data that allows them to build more responsible, explainable and ethical AI. LXT provides evaluation services across many types of AI solutions, working in over 1000 language locales. The quality guarantee ensures that the clients receive training data that meets or exceeds their quality standards.

Generative AI: When building a Generative AI solution, ensuring that its output is accurate, ethical and responsible should be a top priority to build trust with customers and users. Human feedback is essential to evaluate the data used to train the clients’ machine learning models, both in the product design phase as well as in the tuning phase after the solution has been launched into the market.

To ensure that machine learning models produce content that is accurate, comprehensive and reflective of different styles and contexts, data quality and diversity should be prioritized. AI must also be evaluated to identify and mitigate bias, offensive language or inappropriate content, particularly with customer-facing applications. After launching a product, robust evaluation metrics and mechanisms for gathering user feedback are important to provide input for model improvement iteratively and allow for continuous improvement.

LXT can help ensure that the clients’ Generative AI solutions have the high-quality data needed to deliver the optimal experience for the clients’ customers. From collecting data in multiple modalities - including speech, text, image and video - to annotating and evaluating data at scale, the team provides solutions that help manage bias using a diverse group of contributors that maps to the clients’ domain. The team also provides a 100% guarantee on the data quality to ensure the team is meeting the clients’ organization’s quality standards.

Mohammad Omar, Co-founder & CEO