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.
اقرأ بالعربيةArabic agent-trajectory sets are also available to license with our smartphone speech dataset. Ask us about the available versions and counts.
Is Bayanat Agents the right fit?
A good fit if
- You are training agents that use tools in Arabic and need trajectories with tool calls, observations and outcomes.
- You need an executable environment that checks the final state, not just the agent’s reply.
- You want failure and recovery examples, including corrections that change the action.
Choose something else if
- You only need to evaluate an agent you already built. Start with Bench.
- You need a production-safety certification. Our research is a methods beta, not a certification.
What you can check before you license
We separate what is confirmed on this page, what we send on request, and what is agreed for each project.
| Item | Status | Details |
|---|---|---|
| Licensable trajectories | Confirmed | Existing Arabic agent trajectories can be licensed alongside our Arabic smartphone speech dataset. Versions, counts and tool schemas on request. |
| Executable environments | Per project | Custom mock APIs, documents, databases or sandbox applications with agreed starting states. |
| Checks of the result | Per project | Each custom task verifies the final booking, order or record, with difficulty, language variety and failure category attached. |
| Sample trajectory | On request | Request, tool calls, observations and outcome, before you choose a set. |
| Research method | Confirmed | Our Arabic Agent Reliability Lab is a methods beta that checks final state with evidence receipts in an open synthetic sandbox. |
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 the license covers each use
Training rights do not automatically include display, retrieval or redistribution. Each use is set in the agreement.
Model training
Permitted use is set in the agreement for the trajectory set you license.
Custom environments
Built on mock APIs, documents, databases or sandboxes defined with you, with the permissions and confirmations you specify.
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.
For example: 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.
Scope your request
Send us these details and we’ll send the available specifications, and a sample where one is available, so your team can check the fit before licensing.
- The operation your agent must complete
- Tools or APIs involved
- Required confirmations and handoffs
- Languages and dialects
- Timeline
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.