The AI Data Engine is a fully managed service that adapts to how you work.
Choose the models, interfaces, deployment environment, and controls that fit your needs. You get the flexibility of an open architecture without the complexity of building and operating the underlying technology.
Different use cases call for different models. The AI Data Engine gives you the freedom to choose the intelligence that works best for each one and provides the data, context, and reasoning needed to put it to work.
Choose Q-Sensei’s purpose-built models, third-party LLMs, or your own. The AI Data Engine provides the data, context, and structured reasoning they need to perform at their best. You choose the intelligence; the engine connects it to your data and workflows.
Different tasks demand different kinds of intelligence. The AI Data Engine uses specialized models for specific workloads, combines models within a single workflow, and routes requests based on the requirements of each use case. This helps optimize for accuracy, speed, cost, or specialization.
The model landscape is changing fast. Your data architecture shouldn't have to change with it. The AI Data Engine accommodates new models, replacements, and emerging capabilities without changes to the underlying architecture. As the model landscape evolves, the service adapts, so you can focus on how to use intelligence rather than how to operate it.
Access the AI Data Engine through its native interface or integrate its capabilities into the applications and workflows you already use. Either way, you benefit from the same connected data, context, and reasoning capabilities.
The native interface combines visual analytics with interactive data exploration, helping you discover what matters, understand why it matters, and generate insights in one experience.
Move from monitoring to discovery to understanding without switching between tools.
Connect the intelligence of the AI Data Engine to the systems and workflows you already use. APIs give applications, services, and internal tools access to the same data, context, and reasoning capabilities.
Extend AI into the workflows where it creates value without building and operating another system.
Choose where the AI Data Engine runs based on your data, security, and operational requirements. The service remains fully managed across deployment options.
Use the AI Data Engine in a managed cloud environment, with infrastructure and service operations handled by Q-Sensei. Your teams can focus on applying intelligence rather than maintaining the systems behind it.
Where requirements call for greater control over data location or infrastructure, the AI Data Engine can run within your own environment. You retain control over where it operates, while Q-Sensei manages the service and its underlying capabilities.
Change your deployment approach as your requirements evolve without replacing the AI Data Engine or adopting a different operating model. The service adapts as your environment, data, and requirements change.
A managed service should not mean giving up control. The AI Data Engine gives you granular control over who can access data and intelligence, how it can be used, and which policies govern its operation.
Not every user needs access to every dataset, capability, or insight. Define granular permissions based on users, teams, roles, and responsibilities, giving people access to the data and intelligence they need while keeping sensitive information appropriately protected.
AI needs rules, not just access. Define policies for how data and intelligence can be accessed, processed, combined, and used. Governance is built directly into the AI Data Engine, applying your requirements across the intelligence workflow.
Security and governance shouldn't stop once data enters the AI Data Engine. Controls extend across the full intelligence lifecycle—from ingestion and processing through reasoning, delivery, and use. You define the rules; the AI Data Engine applies them across the workflow.
Select the models, interfaces, deployment options, and controls that fit your needs. The AI Data Engine adapts to your requirements while Q-Sensei takes care of the underlying service.
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