Unlock the full potential of your model by leveraging precision fine tuning, rigorous evaluations, and ethically sourced data.
Align model behavior: Supervised fine-tuning, whether you're training a model from scratch or enhancing a pre-trained foundation model
Build trust with stakeholders: Develop AI models on a foundation of integrity with data sourced ethically and transparently by Invisible.
Pin-point areas for improvement: rigorous evaluation services with domain-specific metrics and real-world performance assessments
Drive incremental improvements with evaluations, multimodal / multilingual annotation, and reinforced learning from human feedback.
Invisible's team worked within the client's platform to review model conversations from the research team and assess the level of accuracy of the model responses.
Invisible helped Nasdaq streamline a data integration process, reducing customer onboarding time and saving 10,000 developer hours.
Invisible improved Cohere’s data quality and scalability, enhancing multilingual, coding, and reasoning capabilities to strengthen its enterprise-ready AI performance.
Invisible automated processes like invoice reconciliation, W9 processing, claim approval letters, and compliance support, resulting in significant cost and time savings.
