Solutions
ARiDA connects scientific evidence to the models and gates behind development, licensing and capital allocation. These solution pages show what changes in the decision, how the method works and where its limits sit.
Capability map
These solution surfaces are grounded in the current workflow, tool, and sandbox inventory.
Valuation
Connect scientific evidence and uncertainty to PoS, rNPV, option value and the asset or portfolio decision under review.
Decision consequence
Use one reviewed case to decide what to fund, license, defer or stop, with the scientific and financial logic kept together.
Advanced valuation
Defend probability of success and valuation assumptions by tracing target biology, comparator trials, biomarkers, patents, sponsor history, market context, and evidence strength.
Decision consequence
A valuation case for teams that need to explain the scientific basis for PoS and value assumptions alongside the rNPV calculation.
ROA
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.
Decision consequence
A decision model for assets where the option to wait, expand, abandon, stage, or pivot is part of the value.
Portfolio
Prioritize a biopharma portfolio with value modeling, correlation, downside risk, stage-gate logic and explicit scenarios.
Decision consequence
A portfolio decision layer for teams choosing what to accelerate, hold, partner, kill, or fund next.
Strategy
Scan, assess, and sequence indication opportunities with scientific rationale, clinical feasibility, competitive density, IP context, market structure, and valuation logic.
Decision consequence
A decision program for choosing where an asset or platform should go next, with the evidence and economics visible.
Data analysis
Analyze biomedical files, tables, model outputs, and database extracts with Python, SQL, statistics, machine learning workflows, and durable artifacts.
Decision consequence
A coding and analytics workspace for teams that need reproducible tables, models, charts, files, and conclusions in the same thread.
Scientific analysis
Analyze compounds, fingerprints, scaffolds, ADMET-style properties, molecular similarity, protein structures, contacts, B-factors, SASA, and sequence or structure evidence.
Decision consequence
Scientific analysis workflows for molecular, compound, sequence, and structure questions that need code-backed artifacts.
Competitive intelligence
Build competitive landscapes, TPP comparisons, patent-cliff views, market-share scenarios, and response plans from live web, trial, patent, literature, and database evidence.
Decision consequence
A competitive intelligence workspace where each evidence lane stays inspectable before it becomes a narrative.
Clinical trials
Analyze trial landscapes, protocol patterns, endpoints, enrollment signals, sponsor behavior, recent registry changes, and historical AACT structure.
Decision consequence
A trial intelligence layer for questions where registry structure, recency, endpoints, and protocol details matter.
Literature
Run PRISMA-style biomedical literature reviews with PubMed and PMC search lanes, screening logic, evidence tables, certainty summaries, and durable review artifacts.
Decision consequence
A literature review workflow that makes the evidence table the product backbone.
Patents
Map biotech patent families, assignees, citations, jurisdictions, claims, and whitespace using EPO, Google Patents data, web extraction, and structured IP workflows.
Decision consequence
An IP evidence lane that connects patent families and assignee behavior to strategy, diligence, and competitive timing.
Sandbox
Use natural language to run custom Python, statistics, forecasting, machine learning, optimization, visualization, ETL and mini-app analyses inside an isolated biopharma workspace.
Decision consequence
A custom analysis surface for biotech decisions that need more than a fixed dashboard or pre-built calculator.
