Solutions
Each page below maps a real ARiDA capability surface to the decisions it supports, the workflows it can run, the data sources it touches, and the artifacts it leaves behind.
Capability map
These solution surfaces are grounded in the current workflow, tool, and sandbox inventory.
Valuation
ARiDA runs evidence-backed biotech valuation workflows across single assets, multi-asset portfolios, platforms, fundraises, real options, Monte Carlo risk, and board dossiers.
A valuation workspace for teams that need assumptions, evidence, model outputs, and board language to stay connected.
Open solutionAdvanced valuation
Defend probability of success and valuation assumptions by tracing target biology, comparator trials, biomarkers, patents, sponsor history, market context, and evidence strength.
A valuation reasoning page for teams that need to explain why the PoS and value assumptions are defensible, not just calculate an rNPV.
Open solutionROA
Quantify the value of strategic flexibility in biotech R&D with binomial lattices, Longstaff-Schwartz Monte Carlo, compound options, Greeks, exercise boundaries, and option-value decomposition.
A decision model for assets where the option to wait, expand, abandon, stage, or pivot is part of the value.
Open solutionPortfolio
Prioritize and defend a biopharma portfolio with value modeling, correlation, downside risk, stage-gate logic, scenarios, and board-ready recommendations.
A portfolio decision layer for teams choosing what to accelerate, hold, partner, kill, or fund next.
Open solutionCompetitive intelligence
Build competitive landscapes, TPP comparisons, patent-cliff views, market-share scenarios, and response plans from live web, trial, patent, literature, and database evidence.
A competitive intelligence workspace where each evidence lane stays inspectable before it becomes a narrative.
Open solutionClinical trials
Analyze trial landscapes, protocol patterns, endpoints, enrollment signals, sponsor behavior, recent registry changes, and historical AACT structure.
A trial intelligence layer for questions where registry structure, recency, endpoints, and protocol details matter.
Open solutionLiterature
Run PRISMA-style biomedical literature reviews with PubMed and PMC search lanes, screening logic, evidence tables, certainty summaries, and durable review artifacts.
A literature review workflow that makes the evidence table the product backbone.
Open solutionPatents
Map biotech patent families, assignees, citations, jurisdictions, claims, and whitespace using EPO, Google Patents data, web extraction, and structured IP workflows.
An IP evidence lane that connects patent families and assignee behavior to strategy, diligence, and competitive timing.
Open solutionSandbox
Use natural language to run custom Python, statistics, forecasting, machine learning, optimization, visualization, ETL and mini-app analyses inside an isolated biopharma workspace.
A custom analysis surface for biotech decisions that need more than a fixed dashboard or pre-built calculator.
Open solutionData analysis
Analyze biomedical files, tables, model outputs, and database extracts with Python, SQL, statistics, machine learning workflows, and durable artifacts.
A coding and analytics workspace for teams that need reproducible tables, models, charts, files, and conclusions in the same thread.
Open solutionScientific analysis
Analyze compounds, fingerprints, scaffolds, ADMET-style properties, molecular similarity, protein structures, contacts, B-factors, SASA, and sequence or structure evidence.
Scientific analysis workflows for molecular, compound, sequence, and structure questions that need code-backed artifacts.
Open solutionStrategy
Scan, assess, and sequence indication opportunities with scientific rationale, clinical feasibility, competitive density, IP context, market structure, and valuation logic.
A decision program for choosing where an asset or platform should go next, with the evidence and economics visible.
Open solutionSpecialized tools for rNPV, rpNPV, ROA, platform value, BD deals, Monte Carlo risk, and reporting.
Workflow and analysis instructions spanning financial, life-science, data-science, literature, patent, strategy, and document work.
A packed E2B environment for scientific Python, SQL, ML, documents, visualization, bio/chem, OCR, and browser automation.
