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 turned a drawn-out manual process into a bespoke 7-step solution to turn DoorDash’s restaurant onboarding process into a scalable, machine-augmented system.
Invisible helped a leading AI developer scale model capabilities in record time, allowing the foundational model to launch the public-facing model ahead of schedule.
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.
