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What is Innovatiana?
Innovatiana offers comprehensive data labeling services designed to enhance the performance of AI models, including Machine Learning, Deep Learning, LLMs, VLMs, RAG, and RLHF. The company focuses on delivering high-quality datasets by ethically outsourcing data annotation tasks, including image, audio, video, and text processing.
Based in Madagascar, Innovatiana employs a dedicated team of data labelers, ensuring fair wages, excellent working conditions, and career development opportunities. This approach contrasts with common industry practices by prioritizing ethical outsourcing and transparency. A dedicated English or French-speaking manager oversees all projects, guaranteeing close collaboration and realistic deadlines. Services are charged per project, offering flexible and cost-effective solutions without subscriptions or setup fees.
Features
- Data Labeling x Computer Vision: Trained in image and video annotation techniques, preparing large datasets for supervised Machine Learning or Deep Learning models.
- Data Collection: Collects and structures data from various sources for designated themes.
- Data Moderation & RLHF: Analyzes structured and unstructured data to fine-tune AI capabilities, including reinforcement learning from human feedback (RLHF).
- Documents Processing: Annotates, categorizes, and structures documents like invoices and IDs, complying with regulatory constraints.
- Natural Language Processing (NLP): Annotates texts for Named Entity Recognition (NER), classification, or semantic labeling.
Use Cases
- Training supervised machine learning models.
- Developing computer vision applications.
- Fine-tuning large language models (LLMs).
- Content moderation for online platforms.
- Document verification for KYC processes.
- Named Entity Recognition (NER) in text data.
FAQs
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Why choose Innovatiana for your Data Labeling tasks?
Innovatiana offers an inclusive model with fairly paid and ethically treated data labelers. This provides proximity management, competitive rates, secured data, and high-quality labeled data. -
Why outsource your Data Labeling tasks?
Manual data labeling is expensive and laborious. Artificial Intelligence models require a large volume of labeled data and human evaluation is needed to build accurate and unbiased models. -
What platforms do you use for data labeling?
We use several platforms on the market to adapt to your needs and your most specific requests, including Label Studio, CVAT, and V7.
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