OPAQUE vs. AgentC

OPAQUE Systems pioneers a confidential AI platform that empowers enterprises to run advanced AI, analytics, and machine learning workflows directly on their most sensitive and regulated data without risking exposure or compliance violations. Leveraging confidential computing technology, hardware roots of trust, and cryptographic verification, OPAQUE ensures every AI operation is executed within secure enclaves that maintain data privacy and sovereignty at all times. The platform integrates effortlessly via APIs, notebooks, and no-code tools, allowing companies to extend their AI stacks without costly infrastructure overhaul or retraining. Its innovative confidential agents and turnkey retrieval-augmented generation (RAG) workflows accelerate AI project timelines by enabling pre-verified, policy-enforced, and fully auditable workflows. OPAQUE provides real-time governance through tamper-proof logs and CPU/GPU attestation, enabling verifiable compliance across complex regulatory environments. By eliminating burdensome manual processes such as data anonymization and access approvals, the platform reduces operational overhead and shortens AI time-to-value by up to five times. Financial institutions like Ant Financial have unlocked previously inaccessible data to significantly improve credit risk models and predictive analytics using OPAQUE’s secure platform. OPAQUE actively participates in advancing confidential AI through industry partnerships, thought leadership, and contributions to key events like the Confidential Computing Summit. The platform supports popular languages and frameworks including Python and Spark, ensuring compatibility with modern AI development workflows. Ultimately, OPAQUE balances uncompromising security with the agility enterprises need to innovate confidently in the AI era.

The AI Development platform by Celonis equips companies with the tools to develop and deploy powerful AI copilots, assistants, and agents that are intricately connected to a digital representation of their operational workflows. These Process Copilots serve as generative AI chatbots designed for specific situations, providing quick insights into operational processes through a user-friendly chat interface. They are capable of addressing urgent questions related to performance metrics and procedures, generating visual data representations such as graphs and tables, and identifying potential improvements in key performance indicators. This approach allows businesses to effectively enhance their understanding of processes, leading to better decision-making and improved operational efficiency. Users can take advantage of the annotation builder feature, which organizes information from diverse sources such as emails, service tickets, and other unstructured text formats, utilizing generative AI to uncover valuable process insights. For example, it can systematically categorize customer service requests and assess risks linked to material transfers across facilities, enabling AI assistants to provide actionable suggestions for evaluation and approval. Through this innovative framework, organizations can drastically change their interaction with operational data, rendering it more accessible and actionable than it has ever been before, ultimately fostering a culture of data-driven decision-making. By leveraging these advanced tools, businesses can continuously adapt and refine their strategies for sustained growth and success.