AI annotation & data labeling services

Turn raw data into AI-ready datasets. We help businesses build and train reliable AI models by delivering precise, secure, and scalable data labeling across text, images, audio, and video.

40+

projects delivered

20+

data labeling experts

75%

senior & mid-level specialists

Turn raw data into AI-ready datasets. We help businesses build and train reliable AI models by delivering precise, secure, and scalable data labeling across text, images, audio, and video.

40+

projects delivered

20+

data labeling experts

75%

senior & mid-level specialists

  • Launching a new AI project
  • Scaling existing AI solutions
  • Improving AI model accuracy
  • Integrating multi-modal data
  • Solving quality control issues

Launching a new AI project

Don’t let data prep slow you down. We deliver clean, well-labeled datasets so your team can focus on building and deploying AI models faster.

Scaling existing AI solutions

As models grow, so does the demand for labeled data. We scale by combining AI-assisted pre-labeling with expert human review, which enables us to handle thousands to millions of annotations quickly.

Improving AI model accuracy

Poor labels lead to poor predictions. We clean, validate, and refine your datasets with multi-step checks so your AI learns faster and performs better in production.

Integrating multi-modal data

Give your AI models a fuller understanding of real-world scenarios with multi-layer annotation across text, images, audio, and video.

Solving quality control issues

Eliminate data labeling errors. We apply structured workflows, human validation, and rigorous data checks to keep your datasets clean and unbiased.

Launching a new AI project

Don’t let data prep slow you down. We deliver clean, well-labeled datasets so your team can focus on building and deploying AI models faster.

Scaling existing AI solutions

As models grow, so does the demand for labeled data. We scale by combining AI-assisted pre-labeling with expert human review, which enables us to handle thousands to millions of annotations quickly.

Improving AI model accuracy

Poor labels lead to poor predictions. We clean, validate, and refine your datasets with multi-step checks so your AI learns faster and performs better in production.

Integrating multi-modal data

Give your AI models a fuller understanding of real-world scenarios with multi-layer annotation across text, images, audio, and video.

Solving quality control issues

Eliminate data labeling errors. We apply structured workflows, human validation, and rigorous data checks to keep your datasets clean and unbiased.

We offer all types of AI data annotation & labeling services

Image data annotation
Text data annotation
Audio data annotation
Video data annotation
Document data annotation
Multimodal annotation
With expert annotators, we ensure your datasets are accurate and secure.

Industries we serve

  • E-commerce
  • Healthcare
  • Finance
  • Education
  • Enterprise
  • Media & entertainment

From endless catalogs to customer reviews, e-commerce runs on data. By tagging product photos, reviews, and clickstreams with categories, attributes, and sentiment, we don’t just make data searchable — we train AI models that learn to predict what each shopper really wants.

  • Smarter product search
  • Better recommendations
  • Higher sales conversions

AI in healthcare is only as good as the data it’s trained on. We annotate X-rays, CT scans, MRIs, and patient records so algorithms can learn to recognize conditions and support doctors in making faster, more accurate decisions.

  • Faster and more accurate diagnoses
  • Reduced human error
  • Improved patient outcomes

We label transactions, contracts, and compliance docs with tags like “fraud risk,” “approval needed,” or “suspicious activity.” This helps AI catch fraud in real time, speed up approvals, and keep everything audit-ready.

  • Real-time fraud detection
  • Faster loan processing
  • Easier compliance checks

Not every student learns the same way. By tagging lessons, quizzes, and video lectures with topics, difficulty levels, and goals, we prepare datasets for AI model training that adapt to each student’s needs — recommending the right content, automating grading, and creating tailored learning paths.

  • Smarter content recommendations
  • Hands-free grading
  • Personalized learning paths

Enterprises sit on mountains of unstructured data — emails, reports, chat logs, and contracts. We label this data with categories, sentiment, and entities so AI models can learn to automate workflows, assist employees, and support faster business decisions.

  • Automated workflows
  • Smarter virtual assistants
  • Faster business decisions

From binge-worthy shows to viral clips, media companies need reliable datasets to power AI at scale. We annotate video frames, audio tracks, and images so your models can classify, organize, and filter content more effectively — supporting smarter content discovery.

  • Higher audience retention
  • Smarter content discovery
  • Lower moderation costs
Head of Big Data and AI

Around 80% of AI model development is spent on data preparation. The reason is simple: models are only as good as the datasets they’re trained on. Accurate labeling not only makes AI models more reliable and valuable for business, it also speeds up deployment, lowers maintenance costs, and helps companies achieve results faster.

Head of Big Data and AI

Our data annotation process for AI

Expert discovery

Our experts take the time to understand your goals. They clarify the type of labeling required and define the quality benchmarks your AI model must meet.

Data preparation

Next, we get your data ready for labeling. That means cleaning and organizing it, removing duplicates or irrelevant parts, and structuring it so every file is easy to annotate.

Workflow customization

We design the right labeling workflow (e.g., choosing methods and tools) to make data annotation efficient and accurate.

Annotation & labeling

Our expert annotators add the necessary tags, categories, or markers to your data, whether it’s images, text, audio, or video.

Feedback cycle

You’ll never be left in the dark. We incorporate regular checkpoints for your feedback, so the final dataset reflects your expectations and there are no surprises at the finish line.

Evaluation

Every dataset goes through multi-layer quality checks. You receive a ready-to-train dataset that meets both your accuracy standards.

Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo. Nestle logo. Novartis logo. Spotify logo.
Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo. Nestle logo. Novartis logo. Spotify logo.
Aramco logo Mercedes logo. Costco Wholesale logo. Shell logo. Accenture logo. NVIDIA logo. SPAR logo. Mastercard logo. CVS Health logo. The Walt Disney logo.
Aramco logo Mercedes logo. Costco Wholesale logo. Shell logo. Accenture logo. NVIDIA logo. SPAR logo. Mastercard logo. CVS Health logo. The Walt Disney logo.
Google logo.Hays logo.PayPal logo.Siemens logo.Nike logo.Volkswagen logo.LVMH logo.
Google logo.Hays logo.PayPal logo.Siemens logo.Nike logo.Volkswagen logo.LVMH logo.
Nestle logo.Novartis logo.Spotify logo.Aramco logo.Mercedes logo.Costco Wholesale logo.
Nestle logo.Novartis logo.Spotify logo.Aramco logo.Mercedes logo.Costco Wholesale logo.
Shell logo.Accenture logo.NVIDIA logo. SPAR logo.Mastercard logo.CVS Health logo.The Walt Disney logo.
Shell logo.Accenture logo.NVIDIA logo. SPAR logo.Mastercard logo.CVS Health logo.The Walt Disney logo.
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Trust your data to experts

We’ll deliver accurate and business-ready datasets that are ready for AI training.

Why trust AI data annotation services to Innowise?

We take care of the time-consuming labeling work so your team can focus on building AI solutions. With precise, trustworthy datasets, you can accelerate development, cut down on errors, and bring reliable models to market faster.

What our customers think

Alice Bodnar COO Atlas Guides
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“Innowise’s work met all expectations. The team was efficient, prompt, and on top of their project deliverables. Customers can expect an experienced team that offers an array of business services.”

  • Industry Software
  • Team size 8 specialists
  • Duration 24+ months
  • Services Mobile development
Johannes Schweifer CEO CoreLedger AG
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“Innowise has built an amazing application from scratch in an amazingly short time of just about 3 weeks. Their seniority and in-depth experience in this field make them valuable partners."

  • Industry IT services
  • Team size 6 specialists
  • Duration 17+ months
  • Services Mobile app development
Dominik Märkl Director OneStop Pro
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“When it comes to handling pressure situations, Innowise has always proven their deftness in managing these situations. They do this by having a clear understanding of our expected results to take our business towards growth and customer satisfaction.”

  • Industry Construction
  • Team size 7 specialists
  • Duration 36+ months
  • Services Custom software development

FAQ

There is no practical difference. The terms are used interchangeably. Both mean adding tags, categories, or metadata to raw datasets so AI models can learn and make accurate predictions.

The process includes data collection, cleaning, labeling (manual or AI-assisted), quality assurance, and final dataset delivery. In some cases, continuous annotation is added to keep models updated as new data flows in.

We use a human-in-the-loop approach, multi-layer quality checks, and AI-assisted validation tools. Our annotators follow strict guidelines, and each dataset goes through QA before delivery to minimize bias and errors.

Data annotation shows up in countless ways — from spotting tumors in medical scans, guiding self-driving cars through busy streets, and speeding up insurance claims, to powering personalized shopping and catching tiny defects on factory lines.

Feel free to book a call and get all the answers you need.

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    What happens next?
    1

    Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

    2

    After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

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    We’ll arrange a meeting with you to discuss the offer and nail down the details.

    4

    Finally, we’ll sign a contract and start working on your project right away.

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