For faculty teaching and researching private capital
Structured private-market datasets, governed AI, and reproducible workflows. A workspace built for the classroom and the working paper.
Private-market teaching materials rarely match private-market practice. Textbook examples strip out the workflow, the governance and the provenance that define real work. Reuben AI closes that gap: students and faculty use the same platform institutional teams use, on the same data structures, with the same audit trail.
Teaching workflows we support
- Corporate finance and valuation: DCF, comps, precedent transactions with full audit trail.
- Private equity and buyout: LBO models, IC memos, portfolio company monitoring.
- Venture capital: pipeline, thesis-based screening, cap-table reasoning.
- Private credit and direct lending: covenant analysis, credit memos, monitoring.
- Real assets and infrastructure: long-dated cash-flow modelling, project-level governance.
- Regulatory and legal courses: cross-jurisdiction fund vehicle analysis.
Research use
Reuben AI's provenance layer records, for every AI output, the data used, the analysis lens applied, and the reviewer. That record is what makes the tool defensible in a working paper or reproducible in a follow-on study. Model choice and data residency are configurable per workspace, so faculty can align with their institution's research-data policy.
Related
Frequently asked
- Is faculty access free?
- Yes. Verified faculty at accredited universities receive a free workspace with the ability to invite students to shared teaching or research projects.
- Can I use Reuben AI in a published paper?
- Yes, with the same discipline you would apply to any tool. Reuben AI's provenance layer records the data and reasoning behind every AI output, which supports reproducibility and method transparency.
- Does Reuben AI support teaching case-based courses?
- Yes. Faculty can create shared projects (e.g. a mock target company, a real historical deal, a live sector thesis) that students work through inside their own accounts, with faculty visibility for grading and discussion.
Request faculty access
Academic access, teaching workflows and the same platform used by fund managers.