Data Collection Services for ML

We understand how and why your data will be used. That’s why we align every source and collection method with your strategy.
- High-quality data without hiring or managing a team
- Structured workflows and flexible solutions for unique tasks
- Only your goals drive the process — not our internal tools or templates
What is Data Collection?
The systematic process of gathering, cleaning, and organizing information to train effective machine learning systems. High-quality data enables accurate predictions, reduces bias, and streamlines development while maintaining compliance.
Key Benefits:
- Superior Accuracy — Clean, relevant data builds more precise models
- Reduced Bias — Representative datasets minimize unfair outcomes
- Faster Deployment — Optimized collection shortens development cycles
- Regulatory Ready — Built-in compliance (GDPR, CCPA, etc.)
Quality In = Quality Out
Your AI is only as good as the data it learns from.

Managing Data Collection is Hard—We De-Risk It
From project brief to results, we support business and product teams in collecting data across formats — fast and securely.

On your own, it’s risky:
- No internal team or structured setup in place
- Unclear how to manage and track multiple tasks
- Without expert review, incomplete or irrelevant data often goes unnoticed
- Missed deadlines delay model training and product launches

With us, it’s under control:
- We already have experts, right tools, and a proven launch plan
- Our project manager oversees everything from start to finish — no chaos, no missed steps
- Built-in validation system ensures high-quality data
- You get a production-ready dataset exactly when you need it
Data Collection Methods
Data Collection Stages
Collection
Selecting appropriate tools and methods for data search according to the technical specifications and business goals.
Cleaning
Structuring and classifying the data by specified attributes to create a high-quality dataset and train the neural network on clean data.
Preparation
Preparing the dataset and metadata in the requested format. Transferring exclusive usage rights and signing all closing documents.
Augmentation
Generating data based on existing datasets using various distortion techniques (shape, color, tilt, etc.), and adding or mixing objects.
Types of Data
Why Choose Us
UniData offers unparalleled expertise in AI data solutions, delivering superior data quality and optimized workflowsExpertise
Our team consists of industry-leading experts in AI data solutionsQuality
We ensure superior data quality to maximize your AI project's potentialEfficiency
Our optimized workflows accelerate your model training processesProven Results
Our track record of case studies demonstrates our ability to deliver outstanding outcomesCustomization
Our track record of case studies demonstrates our ability to deliver outstanding outcomesSupport
We provide ongoing support and consultation to ensure continuous success
- 1000 +
- full-time assessors
Data Collection Methods
How It Works: Our Process
A Clear, Controlled Workflow From Brief to Delivery
Your Data Collection Questions Answered
Other Services
What our clients are saying

UniData
Ready to get started?
Tell us what you need — we’ll reply within 24h with a free estimate

- Andrew
- Head of Client Success
— I'll guide you through every step, from your first
message to full project delivery
Thank you for your
message
We use cookies to enhance your experience, personalize content, ads, and analyze traffic. By clicking 'Accept All', you agree to our Cookie Policy.