Our Services
AI Model Alignment and Safety Evaluation
Mitigate the significant brand risk of deploying an unaligned generative AI model with our expert AI Model Alignment and Safety Evaluation services. We provide the critical, human-in-the-loop judgment needed to build truly trustworthy AI that is helpful, harmless, and ready for global deployment. We specialize in creating high-quality human preference data for both RLHF and DPO, and conduct rigorous multilingual red teaming and adversarial testing to identify safety vulnerabilities. Partner with Cognegica Networks to ensure your models are robust, unbiased, and aligned with human values.
Read More
Advanced Multimodal Annotation
Generic annotation leads to underperforming AI models and wasted resources. Cognegica Networks’ Advanced Multimodal Annotation services provide the precision and deep contextual meaning your AI needs for superior accuracy and real-world performance. We provide expert-led data annotation services across all modalities, including high-fidelity audio and speech annotation (like Speaker Diarization), nuanced text and NLP annotation, and scalable image and video annotation for computer vision. From creating strategic datasets for SFT and RAG to ensuring uncompromising data quality, we help you unlock the true potential of your AI.
Read More
Multilingual AI Data Collection & Curation
Don’t let data scarcity derail your global AI initiatives. Cognegica Networks’ Multilingual Data Collection and Curation services solve this foundational challenge, providing the high-integrity AI training data needed to build with confidence. We specialize in data collection for low-resource languages, managing the entire data pipeline—from our ethical data sourcing to advanced data cleaning and preprocessing. The result is a clean, optimized, and training-ready corpus that gives your models a superior foundation for success.
Read MoreOur Services
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.