One platform.
Every kind of bench.
Biotech teams use Augmentiv to add capacity. Academic labs use it to reach instruments they don’t have. AI teams use it to test what their models design. The same engine works from discovery through preclinical studies, scale-up and manufacturing — and every team gets the same thing back: results with proof.
Book a demoWhat 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.
Built around how your team works.
Scale capacity, not headcount.
Add experimental capacity on demand across vetted labs — with an audit trail that holds up to QA, partners and regulators.
- Overflow when internal queues spike
- Specialist assays you don’t run often
- Tech-transfer and reproducibility checks
Run a lab? Join the network.
Fill your bench with well-specified work, and let verified run records speak for your quality.
What teams run on Augmentiv.
Overflow capacity
Send work out when internal queues spike — without hiring or new equipment.
Specialist assays
Reach instruments and techniques your lab doesn’t run often enough to own.
Reproducibility checks
Re-run a protocol at an independent lab before you build on the result.
Revision experiments
Answer reviewer requests fast, with a run record to attach to your response.
Active-learning loops
Feed verified results straight back into the next round of model designs.
Benchmark datasets
Build training and evaluation sets where every data point has a run record.
The capacity of a CRO.
The visibility of your own lab.
Not sure which fits?
Tell us what you need run. We’ll tell you honestly whether Augmentiv is the right way to do it.