Tasks with clear rules
A request, its context, permitted actions, and success criteria. Include mixed-script identifiers, bilingual documents, and corrections that change the action.
Bayanat Agents
Arabic training data for agents that use tools.
Train agents to look things up, make changes, and check that the job is done. License Arabic agent trajectories or build executable tasks around your APIs and business rules.
Arabic agent-trajectory sets are also available to license with our smartphone speech dataset. Ask us about the available versions and counts.
What we can build together
Executable environments
Custom mock APIs, documents, databases, or sandbox applications give agents somewhere to act and make results reproducible.
Demonstrations and recovery
Tool calls and observations show successful paths. Failure examples and corrections teach recovery when a first attempt goes wrong.
Checks of the result
Verify the final booking, order, or record. Attach difficulty, language variety, failure category, and environment version to the task.
How we put the data together
Bring a real task
Start with an existing trajectory set or describe an operation your agent needs to perform.
Define the boundaries
Identify permissions, required confirmations, and handoffs before we create demonstrations.
Inspect a complete run
For custom environments, review setup, actions, observations, and result checks together before expanding the task library.
Rescheduling an appointment
An Arabic request gives an ambiguous date, then changes the time. The agent clarifies, keeps the requested time zone, checks availability, and confirms the completed booking.
Common questions
What is an agent trajectory?
It records the steps an agent takes: the request, tool calls, observations, and outcome. It gives a training system examples of how to act, including how to recover from errors, rather than only how to describe an action.
Does every trajectory set include an executable environment?
No. Existing trajectory data and custom executable environments are separate offerings. If your team needs repeatable runs, we can build an environment with agreed APIs, starting states, and checks for success.