OFA
Why oncology trials terminate and which sponsors show repeated discontinuation patterns.
Public-data pharma intelligence platforms for clinical, regulatory, commercial, access, and innovation strategy.
Why oncology trials terminate and which sponsors show repeated discontinuation patterns.
Which sponsors show recurring trial discontinuation, operational, portfolio, or evidence-risk patterns.
See where healthcare demand is rising before capacity, access pathways, and local systems catch up. Directional intelligence from public signals — not medical, financial, legal, reimbursement, or investment advice.
Map clinical-trial activity by sponsor, indication, mechanism, geography, phase, and status.
Where evidence momentum is building across pharma and biotech technology classes.
Which assets face exclusivity loss across therapeutic areas and time horizons.
Track patent, SPC, regulatory exclusivity, and loss-of-protection timelines across key European markets.
Build source-linked evidence packs around a product, mechanism, indication, company, or strategic question.
Identify mechanisms, modalities, and therapeutic approaches with repeated historical discontinuation signals.
A roadmap platform concept for EU market-access and public policy intelligence. The live DIOS demo build is available separately as AccessWatch EU.
Compare endpoint, eligibility, comparator, enrollment, and study-design patterns across trial archetypes.
Design a pharma intelligence workflow around your own strategic question, source mix, and output format.
A public-data DIOS build using the OFA evidence backbone to structure sponsor-level oncology discontinuation context, approved source layers, and review-required research outputs.
Public-data only. Not predictive. Human review required.
A worked CI/BD showcase showing how Lippershey turns a mechanism-and-indication question into a competitive pipeline landscape with harmonized values, selected analytics, AI review, and provenance guardrails.
Illustrative scenario using synthetic example data. Not live sourced intelligence.
Track oncology assets approaching patent or exclusivity cliffs using public regulatory, patent, clinical, literature, and provenance layers.
Public-data intelligence shell; evidence expansion requires controlled extract review.
Map public clinical-trial and literature signals across sponsors, indications, phases, mechanisms, and evidence maturity.
Public-data intelligence shell; evidence expansion requires controlled extract review.
A public-data DIOS build for EMA, HTA, trial, literature, missing-evidence and cross-source misalignment review across the EU access evidence context.
Public-data only. Not predictive. Human review required.
DIOS demo builds are operator-assisted v0.1 dashboards. They use approved public source packs and controlled evidence-layer architecture. They are not predictive and require human review before use.
All Lippershey platforms are built on public data, deterministic logic, and human review. Outputs are decision support, not medical, financial, legal, reimbursement, or investment advice.