A decision-ready blueprint
A governed AI agent solution designed around the commercial realities of life science vc & investment firms.
Scientific, commercial, and digital architecture, with specialist expertise assembled where the engagement requires it.
Biotech investment teams work across scientific, clinical, commercial, contractual, and portfolio evidence that needs to be assessed at pace without concealing its source or status. An agentic workflow can support diligence preparation and scenario analysis when it is configured around defined information, explicit assumptions, and accountable investment review.
Lonrú Consulting designs and builds that bounded workflow. The system prepares, structures, or compares approved material for a specific diligence, portfolio, or contract-risk question, then presents the reviewed result in a practical decision environment.
We define the public, private, scientific, commercial, financial, and contractual sources relevant to the selected decision, together with permissions, evidence boundaries, and working instructions.
Configured agents can structure diligence material, extract defined terms, prepare comparative analysis, or support scenario work within the agreed sources and decision framework.
Lonrú provides principal-led architecture and review governance. Investment, scientific, legal, operating, and client-selected specialist reviewers can be assigned according to the fund's own decision process.
Approved outputs can be delivered through a diligence workspace, risk view, portfolio interface, scenario tool, or investment-committee briefing environment.
Bring the relevant evidence into a defined workflow that makes open questions, source status, and specialist review needs easier to see.
Configure analysis around agreed clinical, commercial, and financial assumptions so investment teams can examine their consequences without confusing a model output with a recommendation.
Prepare a controlled view of defined contractual terms and potential exposure so legal, operating, and investment owners can assess what requires action.
Set the permissions, information boundaries, and review model before private diligence or portfolio material is used in an agentic workflow.
A useful diligence system makes the evidence, assumptions, and review path more visible. It does not replace the judgment of investment decision-makers, specialist reviewers, or the fund's established approval process.
We start with a defined question and build the smallest useful workflow around it, creating a credible foundation for later portfolio intelligence, contract analysis, or scenario work.
Relevant experience
Up to 9.2%
Engineered an AI-powered Portfolio Risk Engine to automate contract-term extraction. It identifies unlimited-liability clauses and simulates inflation impacts, reducing contract cycle time and helping prevent value leakage of up to 9.2% of annual contract value.
Interactive SaaS
Engineered and deployed an interactive SaaS trial-tracking platform, VantagePoint Insights™, with an advanced-therapy Voice of Customer database that maps pipeline maturity, modality, and vector dominance for industry stakeholders.
Architecture in context
Diagram summary: Scientific, commercial, contractual, and portfolio evidence are contextualised, analysed, and tested through ActiveArchitecture™, then reviewed for diligence, risk, and investment decisions.
Practical questions
Next step
Bring the decision, workflow, or delivery constraint that needs a clearer operating path.
Request a focused briefing