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, FDA against EMA.
Sourced by default. Regulatory facts link to their official FDA and EMA labels.
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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