AI Training Data Services
Journeyhorizon helps AI companies, SaaS teams and digital platforms collect, prepare, label and evaluate data for machine learning and generative AI applications.
From training datasets to human feedback and model evaluation, we provide the data operations your AI needs to perform reliably in production.
Is This Service Right for You?
Our AI training data services are designed for teams that:
Journeyhorizon turns these tasks into a structured, measurable and scalable data workflow.
Our AI Training Data Services
AI Data Collection and Curation
Collect and prepare high-quality text, image, audio, video and domain-specific data for AI training and evaluation.
Our services include:
Data Annotation and Labelling
Create labelled datasets for machine learning, natural language processing, computer vision and AI search.
Our capabilities include:
Generative AI and RLHF Data
Create structured human feedback for LLMs, copilots, AI assistants and generative AI products.
We support:
Supervised Fine-Tuning Data
Build high-quality examples for supervised fine-tuning and domain adaptation.
We can prepare:
AI Model Evaluation and Red Teaming
Test how your AI system performs across realistic, complex and adversarial scenarios.
We evaluate:
Red teaming may include:
Human-in-the-Loop AI
Add human review to AI workflows where full automation is not accurate, safe or reliable enough.
Common use cases include:
Who We Work With
Prepare initial datasets, evaluate model outputs and scale data operations without hiring a large internal team.
Improve AI assistants, copilots, search tools, recommendation engines and automated workflows.
Support product categorisation, listing moderation, search relevance, recommendation data and AI-generated content review.
Process large datasets, introduce quality controls and build ongoing human review operations.
Add flexible annotation, evaluation and human feedback capacity to client projects.
What You Receive
Depending on your project, deliverables may include:
Why Journeyhorizon?
Start With a Conversation
Tell us about your AI product, data and current challenges. We will help you identify the most practical service and delivery approach for your project.
Reduce Internal Workload
Keep product and engineering teams focused on the core AI product instead of repetitive data tasks.
Combine Data and Engineering
Journeyhorizon can support both data operations and the technical systems required to manage them.
Built Around Your Use Case
Guidelines, labels and evaluation criteria are tailored to your product, users and domain.
Scale When You Are Ready
Move from a focused project to a dedicated data team or continuous human review operation as your needs grow.
How It Works
Understand Your Requirements
We review your AI use case, data type, expected output, volume and quality requirements.
Design the Workflow
We define annotation guidelines, evaluation criteria, review steps and delivery standards.
Begin Delivery
Our team starts processing, labelling or evaluating your data based on the agreed workflow.
Review and Improve
We monitor quality, resolve unclear cases and refine the process as the project develops.
Scale the Operation
The workflow can expand to support larger volumes, ongoing evaluation or continuous human review.
Talk to Us About Your AI Data Needs
Every AI project has different data, quality and workflow requirements.
Tell us what you are building, what type of data you have and where your current process is getting stuck. Journeyhorizon will help you identify the right approach for data collection, annotation, model evaluation or human review.
You can contact us if you:
Frequently Asked Questions
What are AI training data services?
AI training data services include collecting, cleaning, labelling and evaluating data used to train, test or improve artificial intelligence systems.
What types of data can Journeyhorizon support?
We can support text, documents, images, video, audio, product data, user-generated content and AI-generated responses.
Can you evaluate an existing AI product?
Yes. We can test outputs, identify recurring failure patterns, compare models and create structured human feedback.
Do you provide RLHF services?
Yes. We can support response comparison, preference ranking, quality scoring and evaluator feedback for RLHF workflows.
Can Journeyhorizon support ongoing data operations?
Yes. We can provide ongoing annotation, model evaluation, human feedback and quality review based on your required volume and workflow.
Can Journeyhorizon build custom annotation tools?
Yes. We can develop annotation dashboards, reviewer portals, validation systems, APIs and data pipelines where required.
How much do AI training data services cost?
Pricing depends on data type, volume, complexity, specialist knowledge, quality requirements and review depth.
