What this build connects.
Practical training needs more than a library of lessons. Learners need to build, submit evidence and receive feedback. Trainers and programme leads need a clear view of the work they are responsible for.
Useful capability.
Clear boundaries.
- Project-based learningA structured workspace for practical assignments and project progress.
- GitHub and evidenceSubmissions tied to a specific commit, test evidence and a demonstration.
- Trainer reviewFeedback and review workflows connected to the learner's submitted work.
- Programme managementCohorts, assignments and separate learner, trainer and programme-lead roles.
See the product.
Know the context.
The video shows a local product preview with fictional classroom data, not learner results or adoption metrics. The hosted platform requires authorised access. It is a DaBuDa-built product, not an external client commission.
Read the Project Hub film transcript
DaBuDa's AI Agentic Project Hub brings practical learning, project submissions and trainer feedback into one structured workspace.
Learners connect a GitHub project and submit a specific commit, test evidence and a demonstration. Trainers review the work and provide clear feedback.
Programme leads manage cohorts and assignments, while learners and trainers have separate roles. This preview uses fictional classroom data; the hosted workspace remains access controlled.
The Hub is a DaBuDa-built product, not a claim of client results. Talk to us about practical AI training or a learning platform for your team.
Product workflow checked against the Project Hub source, 1 October 2026. The preview screen uses sample learners and cohorts. Opening the platform does not grant classroom membership.
Bring us a problem.
Let's build something useful.
Start with a scoped conversation about the work you want to improve.