Scale capacity,
not headcount.
Run more experiments without adding instruments, space or staff — and get an audit trail that stands up to QA, partners and regulators.
What do failed runs cost your programs?
Estimate how much of your re-run spend — and how many months of delay — come from problems in how the work was executed.
Estimates use only your inputs. One widely cited analysis estimates that more than half of preclinical research is irreproducible, with laboratory protocols among the main causes (Freedman et al., PLOS Biology, 2015). A run record shows where execution went wrong, so failures can be explained instead of simply repeated.
Your pipeline moves faster than your bench.
Bench bottlenecks
Every new program competes for the same instruments and the same people. Queues grow; timelines slip.
Black-box outsourcing
Contract labs send back data with little visibility into how it was produced — or why it varies.
Painful tech transfer
Methods that work in one lab drift in the next, and nobody can see exactly where they diverged.
Capacity you can see into.
Augmentiv places your work with vetted partner labs and verifies every step, so added capacity comes with full transparency.
- 01 Overflow and surge capacity Send work out when internal queues spike, without new hires or capital spend.
- 02 Specialist assays on demand Access instruments and techniques your team doesn’t run often enough to own.
- 03 Reproducibility checks Run the same protocol at a second lab to confirm results before you commit.
- 04 Tech-transfer validation Compare step-by-step run records across sites to find exactly where methods diverge.
Add capacity this quarter.
Bring one protocol to a call. We’ll show you a matched lab, a timeline and a sample run record.