Ben Carmel | Chief Revenue Officer
Slope Clinical

My focus is simple: make biospecimen execution the most boring part of a trial. Boring means predictable, no surprises. That is what lets sponsors, CROs, labs, and sites move from reactive reconciliation to predictable execution, so trials stay on track and patients are never waiting on kits, queries, or missing data.

Most clinical trials do not fail because of science, they fail because operations break down.

Biospecimen workflows are one of the most fragile and under-orchestrated parts of a study. Kits arrive too early or too late. Sites improvise. Samples and data fall out of sync. Queries are treated as inevitable. Waste is normalized. Site burden keeps rising.

As Chief Revenue Officer at Slope, I lead commercial strategy for the first end-to-end, vendor-agnostic biospecimen lifecycle orchestration platform, built to work with any lab, any supplier, any courier, any EDC. Slope replaces fragmented, paper-driven workflows with connected, software-guided systems that ensure samples and data move in sync, from kit creation to clean data close-out.

Every other tool in this market operates after an error already exists: monitoring services staff the cleanup, lab portals validate at requisition, analytics platforms surface the discrepancy faster. Slope works at the point the error would have been created. That is prevention, not detection, and it is the difference that matters.

The industry has learned to tolerate failure modes that should never be acceptable. Seventy-six percent kit waste. Twenty to forty percent query rates. Coordinators juggling twenty or more systems. These are not cost problems. They are patient and execution problems.

Slope addresses them by designing integrity into the workflow itself. On sponsor-contracted studies, we achieve 98 percent site adoption, reduce waste to roughly twenty-two percent against that seventy-six percent norm, and bring query rates into single digits. Not by adding another tool, but by orchestrating the lifecycle before, during, and after collection.

Connection is not the end state. It is the starting point. When systems share context, patterns emerge. Signals surface before deviations. That is predictive orchestration: operational awareness that gives study teams time to act instead of react.

Outside work, you will find me chasing two kids and a very large yellow lab named Murphy around our new backyard in Central Florida.