--- url: https://invertbio.com/product/enablement path: /product/enablement kind: marketing --- 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. [Book a demo](/demo) Monitor ## 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 Foundation](/product/foundation) Invert — Live monitoring · Alerts Active alerts · 3 Last updated · just now DO drift vs. historical baseline — BR-04 2.4σ below the prior 12-run mean during feed addition. Correlated with titer loss in 2 of 3 similar events. h72.3 · Ambr250 · model-based alert Missing offline sample — BR-09 Expected Vi-CELL BLU sample at h48 has not arrived. Capture enforcement triggered. h50 · overdue 2h All systems streaming · 4 runs live 52 metrics unified across Ambr250, DeltaV/PI, Vi-CELL BLU, LabVantage. baseline · 18 historical comparators loaded Run Summaries ## Every 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 Intelligence](/product/intelligence) BR-112 — Run summary BR-112 · mAb-04 fed-batch Ambr250 · 12-day run · Apr 2 2025 COMPLETE Intent Evaluate modified feed strategy (higher glucose set-point from day 4) against baseline Q4 2024 runs. Target: +15% titer, viability >85% at harvest. Outcome Peak VCD 31.2×10⁶/mL (day 8). Final titer 2.4 g/L (+18% vs. baseline). Viability 93.8% at harvest. 1 deviation: DO dropped below 20% for 14 min on day 3 during feed addition window. Key parameters 31.2 Peak VCD ×10⁶/mL 2.4 g/L Final titer 93.8% Harvest viability 68.2% Overall yield Explore ## Every 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 Foundation](/product/foundation) Run Directory Search runs… \+ New run Molecule ▾Scale ▾Condition ▾Date ▾ Run ID Molecule Scale Status Start date BR-112 mAb-04 Ambr250 Complete Apr 2 2025 BR-111 mAb-04 Ambr250 Complete Mar 28 2025 BR-110 mAb-03 2L bench Complete Mar 20 2025 BR-109 mAb-03 Pilot 50L Complete Mar 5 2025 BR-108 mAb-02 Ambr250 Complete Feb 24 2025 Showing 5 of 214 runs Process flow ## See 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 lineage](/product/foundation) Process lineage — Batch 51 › Biostat STR 200L Cell Culture Alfa Laval BTPX Centrifugation Feed200 L Centrate~185 L Sludge~15 L SS Hold Tank 200L Hold Hold~185 L ÄKTA Process 50 Chromatography Load~185 L Pool~12 L Step yield ## Step 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 lineage](/product/foundation) Batch 51 — Downstream summary Batch 51 — Downstream summary mAb-04 · Pilot 50L · Apr 2 2025 Unit operation Input Output Step yield Cell Culture — 200 L — Centrifugation 200 L 185 L 92.5% Hold 185 L 185 L 100% Protein A Capture 185 L 12 L 87.3% Low-pH Viral Inact. 12 L 12 L 99.1% CEX Polishing 12 L 10.8 L 90.0% UF/DF 10.8 L 2.1 L 94.4% Overall yield: **68.2%**  vs. target 72%  ↓ 3.8 pp Largest loss: Protein A Capture — investigate Report ## Interactive 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 Intelligence](/product/intelligence) Report — Fed-Batch Campaign Summary Q1 2025 Sections Run overview (12 runs) Titer trend across runs Cross-site comparison Control chart (interactive) Deviations and flags (2) Raw data appendix Lock & share Export PDF Duplicate Fed-Batch Campaign Summary Q1 2025 12 runs · 3 sites · updated 2 min ago Preview Titer trend · cross-site “ The 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. MS Head of Manufacturing Sciences Late-stage biopharma Continue exploring ## The rest of the platform Enablement connects into. [Foundation ### The enterprise-grade bioprocess data layer. A unified namespace, pre-built integrations, and end-to-end lineage — sitting between your instruments and your scientists. Explore Foundation](/product/foundation) [Intelligence ### Bioprocess-native AI, embedded throughout. Experiment summaries, data quality, predictive modeling, and Assist — all grounded in your harmonized data. Explore Intelligence](/product/intelligence) Case study · Bioreactor platforms $400K in integration costs avoided 12–18 mo of build effort avoided Zero net-new data engineering headcount [Read the full case study](/case-studies/bioreactor-platforms) ## Catch batch risk in time. Most batch failures were predictable. The data was already there. Enablement is how you see it in time. [Book a demo](/demo)[Explore Foundation](/product/foundation)