Putting the Intelligence in Artificial Intelligence
Tech-enabled services that design, build, and manage the world's most advanced foundation models and enterprise-scale AI for precision, power, and payoff.
Harnessing AI’s Potential is Easier Said than Done
The demands of AI implementation require businesses to be everywhere at once.
Infrastructure Requirements
AI won’t work for the enterprise without heavy investment in infrastructure and interoperability between systems that enable customized applications.
Maintaining Model Integrity
Evolving data landscapes and sophisticated adversarial threats make maintaining model accuracy and robustness increasingly complicated.
Humans Are AI’s Best-Kept Secret
The world's most innovative companies are launching AI products faster and accelerating their competitive edge with tailored solutions that scale human intuition.
1
Drive Foundation Model Performance and Reliability
Leverage our global network of advanced trainers to perform reinforcement learning and supervised fine-tuning tasks at scale that enhance model performance and accuracy.
2
Fine-Tune AI for Precise Application
SMEs across domains, including PhDs, fine-tune an AI model specialized to your needs, creating demonstration data that supports applications from summarizing complex data to expert-level conversational AI.
3
Monitor Models and Mitigate Hallucinations
Our continuous feedback loops for AI model optimization help refine performance, adapt to new data, and reinforce against adversarial threats and hallucinations.
4
Manage AI from End-to-End
Our agile platform supports end-to-end AI implementation, including complex data structuring, and ensuring that AI integrates with your tech stack, processes, and people.
Solutions Engineered for AI Precision
From intricate fine-tuning to sophisticated system integration, we make training and using AI simple.
1
Reinforcement Learning and SFT
Enhance foundation model performance and alignment with human values by utilizing reinforcement learning from human feedback (RLHF) and supervised fine-tuning (SFT) techniques.
2
Domain-Specific Fine-Tuning
Ensure your AI models are refined to deliver nuanced, industry-specific insights and actions by applying domain expertise.
3
Model Chaining and Integration
Create a cohesive workflow that integrates seamlessly with various enterprise systems by chaining multiple AI models for more complex tasks.
4
Adversarial Training and Red Teaming
Test and improve model resilience against potential threats and biases by deploying adversarial training and red team exercises.
5
Retrieval Augmented Generation
Generate highly accurate and contextually relevant content from your datasets at scale with our specialized RAG capabilities.
6
AI “Super Brains”
Produce high-quality, comprehensive reports from varied and disparate sources that synthesize proprietary information to analyze trends, make projections, and support decision-making.
How We Do It
Our Process Orchestration Platform combines scaleable human expertise with cutting-edge AI capabilities and comprehensive enterprise process knowledge to simplify, enhance, and manage the AI adoption journey for businesses.
We’re Committed to Responsible AI
Our goal is to transform our clients’ goals into reality through responsible and aligned AI development. To ensure we uphold the highest standards of ethical innovation, we stand behind these practices for responsible AI.
See the Full Policy1
Accountability and Responsibility
Ensure clear accountability and responsibility in AI development and outcomes, in keeping with client goals. Combine rigorous internal policies for model application and training with collaboration on safety and potential harms to secure higher quality data, ensure trainer safety, and manage complex challenges effectively.
2
Ethical Use and Integrity
Develop and use AI applications in a manner that respects human rights, promoting the welfare of all individuals and a safe working environment. This includes the ethical sourcing and enrichment of data used to develop AI systems.
3
Transparency and Explainability
Maintain transparency through our AI practices and policies to improve and apply AI systems. Emphasize the careful management of high-quality inputs to align model outputs with an intended or assumed goal.
4
Fairness and Non-Discrimination
Assist clients in achieving their goals, while giving careful consideration to avoid mistreatment or discrimination.
5
Responsible Partnership
Work with partners committed to responsible AI and human wellness, seeking those with a shared dedication to monitoring and evaluating AI applications while collaboratively adapting to challenges as they arise.
6
Privacy and Data Protection
Ensure high standards of data privacy and security, so that data utilized is collected, stored, and processed with the consent of all parties and in accordance with all relevant legal requirements.
7
Safety and Reliability
Prioritize the safety and reliability of AI systems throughout their lifecycle, ensuring they perform as intended and are free from known vulnerabilities. Based on client objectives, implement practices that ensure safety for our trainers and maintain reliability through consistent, data-driven methods.
8
Collaboration and Engagement
Collaborate actively with a diverse range of stakeholders to gather perspectives on ethical AI development and deployment. Aim to advance these principles together, aligning with partner goals for better understanding and cooperation.
9
Continuous Learning and Improvement
Foster a culture of continuous improvement and ethical innovation by encouraging an environment where sharing, learning, feedback, and the latest advancements in AI ethics are integrated into all aspects of our work.
10
Training and Awareness
Provide training for all workers involved in the AI lifecycle on ethical AI principles, the responsible use of AI technologies, and the importance of following these guidelines. Training is regularly updated to reflect current ethical standards and practices.
11
Culture of Compliance
Encourage a culture of openness where ethical considerations are discussed and there are clear processes to report issues.
Delivering Return-On-AI Across Industries
We bridge the gap between AI’s potential and tangible outcomes for enterprises spanning these industries and more.
Our Clients Are Harnessing AI's Full Potential
Learn how Invisible unlocks growth and scale for companies across a range of AI enablement use cases.
Data Safety Shouldn’t Be Your Problem
We provide enterprise-grade data security, privacy, and compliance so you can focus on the bigger fish.
What We Have to Say
Stay up to date with industry insights from our experts.
Ready to Take AI Out of POC?
It’s time to make AI work for you. Request a demo to see how you can shorten your return-on-AI.
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