Enablement
From data foundation to decisions.
Monitor live runs against historical baselines. Catch deviations before the batch ends. Pull any run's full context — design, intent, outcome — in seconds. Enablement is where the data layer becomes an active partner in your process.
Know about every deviation before the batch ends.
Invert monitors every live run against your historical baselines. Model-based alerts flag drift, missing samples, and unusual behavior while there's still time to act on it — and because Invert enforces capture at the source, your live data layer is never missing the metrics you need to make a decision. Each alert lands with the full run context attached, so the person who responds already has what they need.
Explore FoundationEvery run explained, the moment you open it.
Select any run — past or present — and see the headline parameters, the design, the outcome, and any flagged deviations at a glance. No more pinging the scientist who ran it or re-reading six months of protocols to remember what decisions were made.
Experiment summaries live in IntelligenceEvery run, searchable in seconds.
The Run Directory gives your team a structured view of every upstream and downstream experiment — filterable by molecule, scale, condition, operator, and date. Anyone can find a six-month-old run without hunting through drives or asking around.
Explore FoundationSee the whole process in context, updating as the run does.
Product and material streams tied together in one view. Every split, pool, and unit operation — rendered from the data you're actually generating, not from an experimental plan you wrote a month ago. The diagram updates dynamically as the run progresses, which is especially powerful for DSP: product recovery tracked stream-by-stream, step yields calculated automatically, losses visible the moment they happen.
Explore process lineageStep yields, calculated the right way. Automatically.
Material lineage tracks every split and pool. Step yields are calculated with bioprocess-native formulas — not Excel math. Find where product was lost in a run, compare against your entire history, and report out to receiving teams without rebuilding the table from scratch.
Explore process lineageInteractive reports with Python-mediated analysis, shareable the moment you're done.
Reports in Invert are living documents — not static exports. Pull raw data alongside calculated metrics, compare within experiments and across sites, and embed interactive code blocks for high-value analyses like control charting. Lock a report down and share with colleagues, CDMOs, or regulators — all with full provenance, so what you produce is what receiving teams can actually use.
Explore IntelligenceThe risk isn’t the investigation — it’s catching the deviation too late to act on it. Invert shifts the conversation from “what went wrong” to “what’s about to go wrong.” That’s a fundamentally different posture.
Catch batch risk in time.
Most batch failures were predictable. The data was already there. Enablement is how you see it in time.