Our Story
Welo Data is a leader in Artificial Intelligence (AI) and GenAI solutions, backed by decades of experience and strategic investments in cutting-edge technology. Since 2005, we’ve supported over 125 unique workflows across various industries, offering innovative solutions to tackle complex AI challenges.
We manage millions of tasks related to multimodal LLMs, natural language processing, and both generalist and domain-specific AI use cases. Our global team of experts is dedicated to helping businesses deploy scalable, efficient, and high-performing AI systems that transform data into actionable insights.
Leadership Team
Siobhan Hanna
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Siobhan is SVP and General Manager of Welo Data by Welocalize, and has 25 years’ experience in Linguistics and AI data, including founder and leadership roles at Lionbridge AI and Telus AI. She leads the business and its strategy, with a focus on research and meaningful change in AI through elevating Welo’s foundational principles of ethical sourcing, agile production, and superior human data solutions to power superior model performance. Siobhan holds a Literature and Linguistics degree from Queen’s University.
Sarha Mavrakis
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Sarha is the Vice President of Global Commercial at Welo Data. With a wealth of experience in leading and expanding strategic accounts in the AI and Client Services sectors, she brings invaluable expertise to her role. Sarha holds an MBA from George Washington University and has an academic background in Biology, Business Administration, and Political Science. Her extensive experience in Global Operations and Supply Chain Management, coupled with her proficiency in Product Development and Technology Implementation, has naturally led her to excel in the NLP and AI fields.
Canute Haroldson
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Canute Haroldson is the VP of Growth at Welo Data” to “Canute Haroldson is the Vice President of Growth at Welo Data. At Welo Data, he is hard at work designing novel workforce management tools and processes that upskill and uplift the many people and communities that make up our workforce. Canute graduated with a dual Bachelors in Mechanical Engineering and Public Policy from Carnegie Mellon University, and is currently pursuing a part-time Masters in Sustainability Management at Columbia University.
Fernando Migone
VP of Transformation
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Fernando Migone is the VP of Transformation at Welo Data” to “Fernando Migone is the Vice President of Transformation at Welo Data”, and also change “and leads the research labs, where new initiatives and products are incubated.” to “and leads Welo Data Research Labs [can this link to our Research page?], where new data science, data quality and linguistics initiatives and products are incubated.
Birk Larusson
Global Enterprise Operations
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Birk Larusson is a senior executive with deep expertise in client services, AI data, and operations. With an MBA from Chicago Booth, he’s led large-scale programs, driven growth, fueled innovation, and optimized efficiency across multiple industries.” to “Birk Larusson is a senior executive with deep expertise in client services, AI data, and operations. With an MBA from Chicago Booth, he’s led large-scale programs, driven growth, fueled innovation, and optimized efficiency across multiple industries. At Welo Data, Birk leads Enterprise Operations including data pilot solutions and small to large program execution.”
Alpi Chhabra
Global Scaled Operations
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Alpi Chhabra, with 20 years of operations and delivery management experience, leads flagship hyperscaler programs at WeloData. She and her global team excel in delivering AI training data, LLM, Ads, and Search relevance solutions. Alpi has consistently achieved exceptional results on key customer programs.
There’s no way around human input when it comes to making human-like machines. Welo Data proves that you can balance the cost of real human feedback without cutting corners on quality, delivery, or reliability.
AI Search Engine leader, 2024
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What’s the Difference?
Quantifiable improvements, not just promises.
What we do
Gen AI:
Our domain experts and Generalists power LLM model training to improve output for your end users
Model Training:
We gather and meticulously label data to create a high-quality dataset tailored to your requirements.
Data Collection & Labeling:
We gather and meticulously label data to create a high-quality dataset tailored to your requirements.
Evaluation & Iteration:
Continuous evaluation and iterative improvements ensure your models maintain peak performance.
Results
Accuracy Boost
> 10% increase in task-specific accuracy upon each iteration
Innovation
Averages of F1 scores >65% on complex, emerging projects
Quality Scores
>90% Quality Measures across scaled programs
Contact Us Today
You have questions. We have answers. Contact us today to talk about your next project and discover what’s possible!