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Arcova vs. SciLeads: Scientific Contact Data vs. Commercial Fit and Readiness

SciLeads and Arcova are both life science-specific, but they are built for different buyers. SciLeads finds the scientists behind the publications, grants, and posters. Arcova scores the commercial account and buying committee, procurement, business development, clinical operations, against a CRO, CDMO, or tools and services ICP, and tells you when they are ready for outreach.

7 min readUpdated Jul 8, 2026

SciLeads and Arcova both exist because generic B2B tools do not understand life science. Where they diverge is who they are built to find: SciLeads goes deep on the individual research scientist, publications, grants, tradeshow posters, funding, the signal of academic and applied research activity. Arcova goes deep on the commercial account and its buying committee, scoring fit and watching for the events that mean a CRO, CDMO, or tools purchase is actually in motion.

What SciLeads actually does

SciLeads maintains a database of more than 18 million research scientists and over 430,000 pharma and applied science organizations across academia, biotech, pharma, and industry, updated in real time as new grants, publications, and tradeshow activity are announced. Users search by scientific keyword across publications, funding, clinical trials, and tradeshow posters and talks, and get verified email, phone, and LinkedIn details for the individuals behind that activity. Rather than publishing pricing, SciLeads quotes it through a demo, with country-specific options for distributors.

That depth makes SciLeads genuinely strong at one thing: finding and reaching the scientist who authored a specific publication or received a specific grant. It is built around the individual researcher as the unit of targeting, which is a different problem from scoring whether a company, as a whole, fits a commercial GTM ICP.

What Arcova adds on top

Arcova scores the account level: therapeutic area and modality overlap, development stage, and how closely a company resembles your best existing customers, see building an ICP as a CRO or CDMO for the model, then identifies the buying committee by function and seniority rather than by which scientist published a paper. Readiness is built from the signals that matter in biotech and pharma, funding, hiring, trial progress, regulatory milestones, and conference activity, rolled up to the company level so a rep knows which accounts are worth working right now.

SciLeadsArcova
What it isDatabase of research scientists and academic activityCommercial fit and readiness layer
Unit of targetingThe individual researcher or PIThe commercial account and buying committee
Core signalPublications, grants, tradeshow postersFunding, trials, regulatory, hiring, conferences
Best forSelling instruments, reagents, or services to scientistsSelling CRO, CDMO, or tools and services at the company level
PricingQuote-only, via demoFree to start

When SciLeads is the better fit

If your actual buyer is the bench scientist or principal investigator, someone you find by tracing a publication, a grant award, or a conference poster back to a name, SciLeads' academic depth is difficult to replicate anywhere else, including Arcova. That kind of individual-researcher targeting is a distinct discipline from commercial account scoring, and SciLeads has built specifically for it for close to a decade.

Using them together: if part of your motion depends on identifying scientists directly, SciLeads can stay in that role, while Arcova scores the surrounding commercial account and buying committee and tells you when the company itself, not just the scientist, is showing signs of being ready to buy.

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Frequently asked questions

Does Arcova replace SciLeads?

No, and the two are less overlapping than they look at first glance. SciLeads is built to find and contact research scientists directly, using publication, grant, and conference-poster activity as the core signal, which makes it strong for selling lab instruments, reagents, or services to bench scientists. Arcova is built to score and monitor commercial accounts and their buying committees, procurement, BD, clinical operations, quality, for CROs, CDMOs, and tools and services vendors selling at the company level, not the individual-researcher level.

Can Arcova and SciLeads be used together?

Yes. If your team already uses SciLeads to identify scientists and research activity, that data can feed into Arcova, which scores the account itself against your commercial ICP and layers in company-level readiness signals like funding, hiring, trial phase, and conference activity, separate from the individual-researcher signals SciLeads specializes in.

Is SciLeads a good fit for commercial GTM teams?

It depends on who you sell to. If your buyer is the individual research scientist or PI, SciLeads’ academic depth, publication and grant tracking, and poster-level tradeshow data are hard to match. If your buyer is a commercial or clinical-ops decision-maker evaluating vendors for a CRO, CDMO, or tools purchase, that is a different targeting problem, and Arcova’s fit and readiness model is built specifically for it.

Related reading

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ICPs for CROs and CDMOs

How to build an ideal customer profile for a CRO, CDMO, or life science tools and services company: the two-layer model (company fit and buyer fit) that generic B2B ICP templates miss.

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Biotech and pharma buying signals

A working framework for life science buying signals: which events point to new budget or new work to outsource (funding, clinical and regulatory milestones, hiring, expansion), and which fill in the picture around them.

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Prioritizing accounts: fit and readiness

A practical account prioritization framework for life science sales teams: gate on fit first, then use buying-readiness signals to decide when to act inside your best-fit list.

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