Iris Ai

What is Iris Ai?

Iris Ai is an advanced AI platform^[1] designed to augment expert knowledge by unifying complex enterprise data^[2]. It empowers organizations to develop next-generation AI^[3] agents and applications that can effectively process and analyze vast amounts of information. The platform focuses on delivering tailored solutions for regulated enterprises, ensuring that AI-driven insights are both reliable and actionable. By integrating various data sources, Iris Ai enhances decision-making processes and accelerates innovation in fields such as manufacturing, telecommunications, and public sector research.

How to use Iris Ai?

1. Request a Demo: Start by booking a demo with Iris Ai to understand the platform's capabilities and how it can be tailored to your needs.
2. Co-Create: Collaborate with the Iris Ai team to build your initial Agentic RAG agent. This involves ingesting your enterprise data and establishing a custom evaluation framework.
3. Enable: Train your internal team on managing the AI agents, crafting effective prompts, and implementing continuous integration and delivery best practices.
4. Expand: Scale your AI solutions by taking full ownership of AI workflows, with ongoing support from Iris Ai to ensure continuous performance monitoring and updates.

What are the main features of Iris Ai?

• Unified Data Processing: Integrates complex enterprise data into a single platform for enhanced analysis.
• Customizable AI Agents^[4]: Develop tailored AI agents that meet specific organizational needs and use cases.
• Real-Time Monitoring: Provides dashboards for real-time performance tracking of AI agents.
• Expert Collaboration: Facilitates collaboration between AI systems and human experts to improve decision-making.
• Scalable Solutions: Offers scalable AI solutions that can grow with your organization’s requirements.

Who is Iris Ai for?

Iris Ai is designed for regulated enterprises across various sectors, including manufacturing, telecommunications, and public research organizations. It is particularly beneficial for teams that require advanced data processing capabilities to enhance their research and development efforts. Organizations looking to integrate AI into their workflows to improve efficiency, reduce project delivery times, and gain actionable insights from complex data will find Iris Ai invaluable.

What are the use cases of Iris Ai?

1. Research and Development Optimization: Companies like ArcelorMittal utilize Iris Ai to streamline their R&D processes, significantly reducing the time needed to analyze external data.
2. Crisis Management: Public sector organizations can leverage Iris Ai to quickly access relevant research during critical situations, such as health crises, enabling faster decision-making.
3. Telecommunications Solutions: Leading telecom companies use Iris Ai to develop operationally efficient AI solutions that address specific business challenges, enhancing service delivery and customer satisfaction.