Pipeline
Discover and qualify
overlooked opportunities
Pipeline combines university-powered discovery with experienced executive diligence.
What Pipeline does
Pipeline identifies underserved, abandoned, deprioritized, or overlooked therapeutic opportunities and evaluates which are worth advancing.
Unlike traditional business development sourcing, Pipeline combines university-powered discovery with experienced executive diligence.
Process
Define
Sponsor criteria.
Align on sponsor strategy, mandate, and screening criteria.
Discover
Teams search broadly.
Source and screen candidates across science, IP, and regulatory risk.
Diligence
Cross-functional review.
Evaluate market potential, competitive position, and financial case.
Decide
Ranked recommendations.
Evidence-based recommendations delivered to the sponsor.
Evaluation framework
Clinical Regulatory IP Commercial Manufacturing Finance Strategic fit
For companies
Sponsored asset discovery.
Surfaces potential assets that align with a sponsor's therapeutic interests, giving the Pipeline team an initial pool of candidates to evaluate for partnership.
Sponsor-defined search mandates.
Captures the specific criteria and priorities a sponsor sets for the assets they're seeking, so scouting stays targeted to what the sponsor actually wants to fund or acquire.
Structured opportunity evaluation.
Applies a consistent evaluation framework to each candidate asset, so Pipeline projects are assessed against the same criteria and can be compared fairly.
Access to broader sourcing coverage.
Extends visibility into a wider network of asset sources beyond what any single sponsor or team could reach on its own, widening the funnel feeding into Pipeline projects.
Students are expected to:
- 01
Use AI and technology tools to research, organize, and analyze information.
- 02
Validate findings through critical thinking and independent assessment.
- 03
Consider scientific, commercial, regulatory, intellectual property, and strategic factors together rather than in isolation.
- 04
Develop evidence-based recommendations supported by data and sound reasoning.
- 05
Defend their conclusions and explain how they reached them.
- 06
Learn that the value of AI comes not from the answers it generates, but from the quality of the questions being asked.
The goal is not to train students to use AI.
The goal is to train students to become better decision-makers who understand how to harness AI responsibly, challenge its outputs, and combine technology with human judgment to create better outcomes.
Partner with ai²
Interested in collaborating with ai²? We work with universities, industry partners, and organizations looking to engage top talent while advancing real biopharma opportunities.