Data Services

Data Annotation

· Data Collection

· Data Relevance and Rating

· Data Validation

· Generative AI Training

· Content Moderation

· Transcription

· Multilingual & Cultural Context

· Human Feedback & Model Alignment

· Bias Mitigation

· Chatbot Localization

· User Studies

· Business Process Outsourcing

· AI Model Evaluation

· RAG Data Preparation & Validation

· Localization-grade quality for AI data

· Data Governance

· Continuous AI Evaluation

· AI Red Teaming

· Data Annotation · Data Collection · Data Relevance and Rating · Data Validation · Generative AI Training · Content Moderation · Transcription · Multilingual & Cultural Context · Human Feedback & Model Alignment · Bias Mitigation · Chatbot Localization · User Studies · Business Process Outsourcing · AI Model Evaluation · RAG Data Preparation & Validation · Localization-grade quality for AI data · Data Governance · Continuous AI Evaluation · AI Red Teaming ·

Build better AI with better data.

Vistatec Data provides multilingual, multimodal data services designed to help organizations build, train, evaluate, and improve AI systems at global scale.

Data Annotation

Turn complex data into high-quality training assets
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Data Collection

Source the right data for the AI you are building
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Data Relevance and Rating

Put human judgment behind better AI decisions
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Data Validation

Know whether your data is ready to perform
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Generative AI Training

Give generative AI the human intelligence it needs
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Content Moderation

Apply human judgment where context matters
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Transcription

Convert speech into structured, usable data
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Multilingual & Cultural Context

Train AI for the way people actually communicate
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Human Feedback & Model Alignment

Align AI behavior with human expectations
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Bias Mitigation

Identify data gaps before they become AI problems
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Chatbot Localization

Create conversational AI that works locally
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User Studies

Test AI with the people it is designed to serve
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Business Process Outsourcing

Extend your data operations with specialist global resources
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AI Model Evaluation

Know how your AI performs before your users do
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RAG Data Preparation & Validation

Give AI better knowledge to work with
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Localization-grade quality for AI data

Data with a defined quality system behind it
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Data Governance

Know where your data came from, how it was handled and how quality decisions were made
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Continuous AI Evaluation

AI quality is not a one-time test
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AI Red Teaming

Test beyond the expected
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“AI evaluation is becoming one of the most important parts of the AI lifecycle. Human feedback tells us where models succeed, where they fail and, critically for global organisations, whether that performance changes across languages and markets.”

-- Caroline O’Connell, CRO, Vistatec
“Language is data, but language also carries culture, intent, and context. Bringing that understanding into training and evaluation data is how we help AI move from functioning globally to performing effectively locally.”

-- Simon Hodgkins, CMO, Vistatec
“Annotation is where raw data becomes useful intelligence. The real value comes from combining clear guidelines, qualified people, and measurable quality controls so the resulting data is genuinely fit for the AI system it is designed to support.”

-- Yvonne McNamara, COO, Vistatec
“The quality of an AI system is inseparable from the quality of its data. Our approach applies localization-grade quality disciplines to AI data, with expert human judgement built into the process from collection through evaluation and validation”

-- Phil Ritchie, CTO, Vistatec

Data Services

Data Annotation

·

Data Collection

·

Data Relevance and Rating

·

Data Validation

·

Generative AI Training

·

Content Moderation

·

Transcription

·

Multilingual & Cultural Context

·

Human Feedback & Model Alignment

·

Bias Mitigation

·

Chatbot Localization

·

User Studies

·

Business Process Outsourcing

·

AI Model Evaluation

·

RAG Data Preparation & Validation

·

Localization-grade quality for AI data

·

Data Governance

·

Continuous AI Evaluation

·

AI Red Teaming

·

Build better AI with better data.

Data Annotation

Data Collection

Data Relevance and Rating

Data Validation

Generative AI Training

Content Moderation

Transcription

Multilingual & Cultural Context

Human Feedback & Model Alignment

Bias Mitigation

Chatbot Localization

User Studies

Business Process Outsourcing

AI Model Evaluation

RAG Data Preparation & Validation

Localization-grade quality for AI data

Data Governance

Continuous AI Evaluation

AI Red Teaming

“AI evaluation is becoming one of the most important parts of the AI lifecycle. Human feedback tells us where models succeed, where they fail and, critically for global organisations, whether that performance changes across languages and markets.”

“Language is data, but language also carries culture, intent, and context. Bringing that understanding into training and evaluation data is how we help AI move from functioning globally to performing effectively locally.”

“Annotation is where raw data becomes useful intelligence. The real value comes from combining clear guidelines, qualified people, and measurable quality controls so the resulting data is genuinely fit for the AI system it is designed to support.”

“The quality of an AI system is inseparable from the quality of its data. Our approach applies localization-grade quality disciplines to AI data, with expert human judgement built into the process from collection through evaluation and validation”

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