Vectora structures the entire LAI ecosystem — every company, drug, candidate and technology — into one source your team can explore, monitor and build on.
The information lives across FDA filings, ClinicalTrials.gov, PubMed and corporate press. No generalist platform gives long-acting injectables a scope of their own, so reassembling the picture — source by source, name by name — falls on the analyst.
Generalist tools file long-acting injectables under “injectables” and stop there. Vectora draws the line they don’t: it defines the LAI landscape as its own field, structures it as a queryable ontology, and keeps it live — the current state of every player, and the events that change it. You can slice the field any way you need — by technology, phase, indication or authority — instead of rebuilding it each time.
Every company, marketed drug, clinical candidate, trademark, proprietary delivery technology, target and indication in the LAI landscape — defined, curated and resolved into one queryable ontology.
Each asset is a molecule × delivery technology × developer. Size the landscape and segment it — by phase, technology, target or modality.
Each product is a brand × authority. Read the real regulatory profile — FDA against EMA, label by label.
One substrate feeds all three products, each unlocked for your organization as it becomes available.
Explore the landscape. Scope a population, compare molecules or products, read FDA against EMA in one view.
A periodic brief of LAI events — readouts, approvals, deals — filtered to the field.
Briefs and reports generated on demand — each claim traceable to its source.
Filter the landscape to the assets you care about, then read it through a lens: a table, a competitive landscape, market trends over time, a positioning map — and a side-by-side comparison of two to six items, FDA against EMA.
Sourced by default. Regulatory facts link to their official FDA and EMA labels — and no value is ever invented to fill a blank.
The same substrate, read through the lens of each role.
Vectora encodes that domain work — the scope, the ontology, the delivery-technology taxonomy — into the substrate itself. In a specialized field, the analysis is only as strong as the domain knowledge behind it.
You work directly with the analyst who builds and maintains the substrate — not an account manager relaying your questions.
Vectora is opening to a first group of LAI teams as design partners. Tell us about your work and we’ll be in touch.
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