Where the world's top AI models learn
Invisible has trained foundation models for >80% of the world’s leading AI providers — giving model builders confidence they’re working with the most credible partner in the ecosystem.
Our platform blends elite global talent with automation to deliver training data at enterprise speed — without compromising research-grade quality.
Need a PhD in quantum physics? A clinical researcher in oncology? A linguist in Emirati Arabic? Invisible instantly mobilizes experts across any domain to train your AI with precision and speed.
Design and evaluate complex, step-based workflows that teach AI agent to reason, plan, and act, trained by agentic experts and domain specialists
Train and evaluate models in 80+ languages, ensuring cultural precision and linguistic accuracy for global deployment.
Red-teaming, fine-tuning, and policy informed evaluations with a dedicated SWAT team to align models with safe and compliant use.
Generate, annotate, and evaluate diverse audio data using thousands of trained evaluators with over 71K hours of experience.
High-precision video and image annotations for scene understanding, subject consistency, and real-world logic, delivered by skilled experts across 20+ styles and 10+ content types.
Working with frontier AI labs, we move at research speed. Our training pipelines adapt as fast as your models evolve — keeping fine-tuning and deployment continuous, not episodic.
Tap directly into human expertise across hundreds of domains. Our marketplace connects you to vetted trainers who elevate model performance from day one.
Every label, every iteration, every expert — tracked and verified. Continuous evaluation ensures your data, and your trainers, meet production-grade standards.
Cohere needed to evaluate Command A to see if it delivers the right outcomes in specialized, real-world scenarios. Invisible sourced PhD level experts across a range of specialisms, including STEM, Math, SQL, and subject matter experts in HR, retail and aviation, for blind annotation.
Cohere expanded into 10 languages with Invisible's expert annotators fine-tuning in rare programming languages to tackle specialized use cases resulting in transformative improvements in model performance.
From human-in-the-loop reviews to multimodal assessment, we outline how enterprises can build evaluation systems that assess real-world performance for safe and accurate model deployment.
How you can adopt custom evaluations tailored to your use cases and business objectives.