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Innovatiana

Data Labeling Services & AI Training Data | Innovatiana

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39.8K
Added
Dec 19 2023

About Innovatiana

Innovatiana provides expert, human-verified data labeling for AI models, delivered by specialists across 20+ sectors at every stage: pre-training, fine-tuning, RLHF, and evaluation. The service emphasizes production-grade datasets and fast delivery, with teams that ensure responsible working conditions and traceable processes for data labeling projects.

Dedicated teams of trained data labelers and domain experts are assembled around each project, yielding consistent judgments and high-quality ground truth tailored to client specifications. In-house recruitment and management provide visibility into people and processes behind the data, avoiding anonymous crowdsourcing.

Every project is led by a delivery manager who oversees onboarding, production, quality and timelines. Workflows adapt to requirements, balancing human review with automation to meet project needs while maintaining accountability and transparent practices throughout the delivery lifecycle.

Security, confidentiality and responsible AI principles are embedded in Innovatiana's delivery model, with controls aligned to GDPR, ISO standards and evolving AI regulation. The quality framework includes guidelines, calibration, gold standards, multi-level QA and continuous monitoring to produce dependable training data.

Use cases

  • Data labeling for computer vision, NLP, and content moderation projects across domains such as transport, health, real estate and more.
  • High-quality medical image annotation and audio transcription for specialized AI models.
  • Document processing and multilingual NLP data creation for complex business use cases.

Key features

  • Dedicated teams of data labelers and domain experts
  • In-house recruited and managed workforce
  • Delivery management and configurable workflows
  • Transparent pricing and budget visibility
  • Security and regulatory alignment
  • Quality-focused data production

Pros and cons

Pros

Production-grade datasets with human-verified ground truth
In-house, accountable workforce with clear standards

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Frequently asked questions

What is Data Labeling?
Data labeling consists of assigning specific labels or categories to data (images, texts, videos, audio, etc.) in order to make them understandable for machine learning algorithms.
How is data labeling used in Computer Vision models?
It is used to train AI models to recognize and interpret images and videos, including tasks like image classification, object detection, semantic segmentation and object tracking in videos.
What are the costs associated with Data Labeling?
Costs vary by data type, precision, annotation mode and outsourcing provider; typical annotation rates range from a few cents to several euros per piece of data.

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