High-Quality Training Data for Reliable AI Assistants

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Build AI That Actually Takes Action

Our datasets don’t just train models to generate text — they train them to make decisions.

From tool use and action routing to structured outputs and workflows, DinoDS helps your AI know what to do, when to do it, and how to do it reliably.

Email Alex that I’m running 10 minutes late and move our meeting to 3 PM tomorrow.

To complete this task correctly, an AI assistant must:

  1. Detect that external actions are required
  2. Determine which systems to use (email and calendar)
  3. Map the request to the correct operations
  4. Confirm or request missing details if necessary
  5. Execute the action while maintaining a clear user response

DinoDS training datasets teach models how to perform these routing and action decisions reliably, enabling assistants that move from conversation to execution.

How DinoDS Works

Train AI systems that can operate inside real workflows

DinoDS is built for assistants that do more than generate text. Our datasets train the decision layer behind modern AI systems — helping models understand intent, route actions, and execute with reliability.

Intent Detection
Reasoning Retrieval Action
Step 01

Understand what the user actually wants

DinoDS trains models to recognize whether a request needs conversation, retrieval, a connector, a deeplink, or a structured output. This helps assistants make the right decision before they generate a response.

  • Intent classification for real user requests
  • Better separation between chat, retrieval, and action
  • Cleaner decision-making in multi-step workflows
Action Routing
Email Calendar Apps Workflows
Step 02

Route requests to the correct connector or app flow

Our action-oriented lanes teach assistants how to map user intent to the correct operational path. Instead of treating everything like chat, the model learns when to trigger external systems and how to select the right action type.

  • Connector intent detection and action mapping
  • Deeplink detection for app-level actions
  • Reliable routing for production assistants
Execution Layer
JSON Flows Responses
Step 03

Execute clearly, reliably, and in a machine-usable format

DinoDS also helps assistants handle missing details, produce structured outputs, and maintain a clean user-facing response while work happens in the background. This is what moves an AI system from conversation to execution.

  • Multi-step flow control and confirmation handling
  • Structured outputs for downstream systems
  • Reliable behavior across enterprise workflows