Build a Target Product Profile every function can act on
A TPP asks clinical, commercial, regulatory, and medical affairs to work from one evidence base. Causaly automates that evidence base so your team spends its time on the judgment calls it informs.
Request a demoWhy Use Causaly
Causaly turns TPP evidence generation from a months-long, hand-assembled reconciliation exercise into a source-cited, continuously current evidence base every function can act on directly.
- One evidence base, multiple functions: Clinical, commercial, regulatory, and medical affairs work from the same version, not a reconciled patchwork.
- Evidence that doesn't go stale: The TPP can be rapidly updated when a competitor reads out or a regulatory precedent shifts.
- Built on your context: Internal documents, decision rubrics, and prior outputs, not literature alone.
- Decision support, not templates: Organization-specific judgment, encoded and made repeatable.
What a Causaly TPP actually contains
A biomarker-enriched profile for a late-stage immunology asset, generated and refreshed inside Causaly's TPP Workspace
- Strategic positioning: Synthesized from the evidence and tagged for differentiation, with every claim linked back to its sources.
- Asset, indication & population: Mechanism, regimen, and companion diagnostic requirements, structured in one place.
- Efficacy vs. benchmarks: Your program's own signal plotted directly against the competitor classes it has to beat.
- Safety & tolerability: Your target profile set against the safety bar each competitor class has already established.
- Trial design timeline: Every readout plotted against today, so the profile always shows where the program actually stands.
What that means for your next TPP
19-24 days → 6-9 days
Time to a first-draft TPP, a 50-75% reduction based on comparable Causaly customer benchmarks.
The capability layers a full-stack solution requires. Meeting the conditions decision-support work demands takes more than any single capability. Three core layers generate the evidence; two delivery layers get it into your organization's hands.
Make smarter decisions
Meeting the conditions decision-support work demands takes more than any single capability. Three core layers generate the evidence; two delivery layers get it into your organization's hands.
Scientific Workflows
Turn a TPP into the same five sections every time: positioning, population, efficacy, safety, timeline.
Agentic Research
Sources the evidence behind every benchmark comparison.
Data Integration
Uses your own trial data, not public literature alone.
Professional Services
Configures which cohorts and cut points matter for your
A2A Ecosystem Integration
Keeps the workspace refreshed inside your own systems.
Causaly: The essential tool for unlocking new drug uses
"As I am responsible for divestment of assets, I am interested in identifying potential new uses for marketed drugs. I haven't been able to find any tool other than Causaly that can support my work. Often I don't know what I'm searching for and that's the beauty of the tool, but it gives me a starting point for interesting areas for potential development. If I didn't have Causaly, I wouldn't know whether the product works in a specific indication and wouldn't know what preliminary research has been done by other teams; it would be difficult to position the value of the product."
Global Regulatory Affairs, Head of EU Region
“If I didn't use Causaly, finding relevant papers would really be left up to chance. I really need Causaly to give me the starting point for my research.”
Global Regulatory Affairs, Head of EU Region
“It would be possible to browse the literature manually, but you can imagine the number of products I am responsible for and the amount of papers I would need to review, either industry-sponsored studies or pilot studies conducted by physicians. All this data is retrieved by Causaly, and I can filter and sort based on quality of evidence.”
Global Regulatory Affairs, Head of EU Region
Get started with Causaly
Ready to transform the way your R&D teams discover and deliver? Take the first step - see Causaly for yourself.
Request a demo