Innovatiana

Innovatiana: Supercharging AI with High-Quality Data Labeling Services

What is Innovatiana? Innovatiana provides expert data labeling services and crafts AI datasets to train, fine-tune, and power AI models across various sectors. They focus on delivering high-quality datasets prepared by domain-trained teams and expert data labelers. This ensures optimal performance for models like ML, DL, LLM, VLM, RAG, and RLHF.

Key Features and Services:

• Data Labeling for Computer Vision: Annotating images and videos using best practices for computer vision tasks. They work directly on your tools or secure environments and deliver annotated data in various formats (JSON, XML, Pascal VOC).
• Data Labeling for Gen-AI: Collecting, structuring, and enriching data adapted to the training of generative AI models. This includes preparing complex datasets with prompts/responses, dialogues, code snippets, summaries, and explanations.
• Content Moderation & RLHF: Moderating content generated by AI models to ensure quality, security, and relevance. This involves identifying excesses, evaluating factual situations, recording responses, and intervening in RLHF loops.
• Documents Processing: Structuring, annotating, and enriching raw documents (texts, PDFs, scans) to extract maximum value for training documentary analysis models.
• Natural Language Processing: Structuring and enriching textual data to train robust NLP models, with multilingual teams working on tasks like named entity recognition (NER), classification, segmentation, and semantic annotation.

Why is Innovatiana important?

In the age of GenAI, data labeling is more essential than ever to develop models that are reliable, accurate, and free of bias. Innovatiana emphasizes the contribution of domain experts to ensure the quality and representativeness of datasets. They are committed to ethical AI and responsible outsourcing, valuing the people behind the annotations.

How does Innovatiana work?

1. Needs Assessment: Tailor-made assistance, taking into account your constraints and deadlines.
2. Agreement: A proposed approach is provided within 48 hours, with no monthly subscription or commitment.
3. Data Preparation: A team of Data Labelers or AI Trainers, supervised by a Data Labeling Manager, prepares your data.
4. Quality Review: Annotations are reviewed via manual sampling checks, inter-annotator agreement measures (IAA), and automated checks.
5. Dataset Delivery: Prepared data is provided according to agreed terms, with secure transfer and data availability.

Who is Innovatiana for?

Innovatiana is suitable for:

• CTOs, Data Scientists, and Engineers
• Companies in various industries: Transport & Logistics, Sports, Telecommunications, Real Estate, Fashion, Public Services, Media, Healthcare, Education, Energy, Banking, Agriculture, Automotive, etc.
• Organizations that require high-quality, unbiased, and ethically sourced data for their AI models.

Benefits of choosing Innovatiana:

• Ethical Outsourcing: Rejecting impersonal crowdsourcing and ensuring full traceability of annotations.
• Proximity Management: Each project is overseen by a dedicated manager who structures the annotation process and streamlines production.
• Clear & Transparent Pricing: Charging per task or per dataset delivered, with no hidden costs.
• Security & Responsible AI: Protecting your data and integrating responsible AI principles.
• Uncompromising Quality: Following a rigorous methodology supported by systematic quality controls.

User Testimonials:

• Karen Smiley (AI Ethicist): "Innovatiana has been able to build an ethical and human approach to data labeling, by valuing annotators as fully-fledged experts in the AI development cycle."
• Henri Rion (Co-Founder, Renewind): "Innovatiana helps us a lot in reviewing our data sets in order to train our machine learning algorithms. The team is dedicated, reliable and always looking for solutions."
• Tim Keynes (Chief Technology Officer, Fluximmo): "The work provided is of high quality and the team is stable over time. The deadlines are clear as is the level of communication."

How to use Innovatiana?

1. Contact Innovatiana for a free quote.
2. Discuss your data labeling needs and project requirements.
3. Agree on an approach and timeline.
4. Innovatiana's team prepares your data with rigorous quality controls.
5. Receive the prepared data and integrate it into your AI models.

What is Data Labeling?

Data Labeling is a process of selecting, annotating, and structuring data (images, videos, text, multimodal data, etc.) to build quality datasets for AI models. It is essential for supervised training (Machine Learning, Deep Learning), fine-tuning (SFT), and continuous improvement of models.

Conclusion:

Innovatiana is an excellent choice for organizations seeking high-quality, ethically sourced, and reliably delivered data labeling services. They are committed to responsible AI and offer tailored solutions to meet the specific needs of diverse industries. By choosing Innovatiana, you can ensure that your AI models are trained on the best possible data, leading to more accurate, efficient, and unbiased outcomes.