--- url: https://invertbio.com/ path: / kind: marketing --- # Infrastructure and intelligence for _bioprocess._ Invert connects your bioprocess equipment and data sources across process development and manufacturing. Do better science and move faster than ever, both upstream and downstream. [Book a demo](/demo)[Explore Invert Assist](#assist) Invert Analysis Experiments Runs Reports Data Management Library Import Data Quality Reports›ABT-4901 Clone Selection Report WorkspaceCancelSave H BISU A x²x₂ InsertChartsDataRun all integrates with ![Sartorius](/logos/sartorius.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Eppendorf](/logos/eppendorf.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Cytiva](/logos/cytiva.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Applikon (Getinge)](/logos/getinge-applikon.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Distek](/logos/distek.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Infors HT](/logos/infors-ht.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Pall](/logos/pall.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![PBS Biotech](/logos/pbs-biotech.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Solaris Biotech](/logos/solaris-biotech.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Repligen](/logos/repligen.svg?dpl=dpl_HwJYoKg6FrprhU2e3JgTUZTTpAzo)![Beckman 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Consolidate process data on autopilot. Invert integrates easily with all your equipment and systems. Online and offline data are automatically linked to relevant runs, all in real time. True off-the-shelf connectivity. [Explore integrations](/product/integrations) Invert — Live Run · DK13-Exp012 · BR-09 Sources Ambr250 OPC-UA · 4s DeltaV / PI OPC-DA · 10s Vi-CELL BLU SFTP · auto-linked LabVantage ELN API · synced ÄKTA Process idle 48 metrics unified 2 sources streaming BR-09 · 58h elapsed DK13-Exp012 · Ambr250 vessel 3 DO % pH Temp VCD offline LIVE Offline sample · h36 VCD24.1 ×10⁶/mL Viability95.4 % Glucose1.8 g/L ↗ Vi-CELL BLU · auto-linked from ELN 55.2 % DO Ambr250 6.82 pH Ambr250 37.1 °C Temp DeltaV / PI 62.4 ×10⁶ VCD Vi-CELL · h58 Foundation / Lineage ## View your full process in one place. Understand exactly how upstream parameters drive downstream outcomes. Invert automatically provides full traceability across your unit operations, making complex step yield calculations easy. [Explore lineage](/product/foundation) Process lineage — Batch 51 › Biostat STR 200L Cell Culture Alfa Laval BTPX Centrifugation Feed200 L Centrate~185 L Conc. Sludge~15 L SS Hold Tank 200L Hold Hold~185 L ÄKTA Process 50 Chromatography Load~185 L Pool~12 L Foundation / Harmonize ## Handle data inconsistencies and units easily. Are you also tired of playing spreadsheet tetris? Invert's Library automatically harmonizes metric names and data units across data sources. All to your specifications. [Explore metric management](/product/foundation) Metric library Library›Metrics▾ ⋯ Add \+ Add filter Name  ⋮ Unit  ⋮ Data Sources  ⋮ Agitation Speed2 ▾ RPM DeltaV – Process DataBiostat STR – OPC Agitation rpm DeltaV – Process Data Agitator speed rpm Biostat STR – OPC Air Sparge5 › L/h OSIsoft PI – HistorianDeltaV – Process Data Average diameter3 › µm Vi-CELL BLU – Cell Counter Base Totalizer (Volume)5 › L DeltaV – Process DataOSIsoft PI – Historian Enablement / Report ## Generate deep reports automatically. Autogenerate interactive reports and deep bioprocess analyses. The Invert Assist AI only writes Python that can be audited, reproduced, and improved upon. Gone are the days of pasting screenshots of plots into presentations. [Explore reports](/product/enablement) Multivariate Clustering Analysis — DK13 250mL Bioreactor DOE Reports›Multivariate Clustering — DK13-Exp012 Export PDF Overview Multivariate comparison of 12 bioreactor runs from DK13-Exp012 (250 mL, _E. coli_ K-12-4373). DOE factors: temperature shift, pH shift, feed rate. Hierarchical clustering identifies **3 performance groups** primarily driven by pH shift setpoint. Table · DOE Factor & Cluster Assignments Run Temp Shift (°C) pH Shift Feed Rate Titer (g/L) Cluster BR-01 24.0 6.5 Low 7.35 C1 BR-11 24.0 6.5 High 8.84 C2 BR-04 24.0 4.5 High 1.91 C3 BR-12 26.0 4.5 Medium 3.03 C3 Chart · Mean Final Titer by Cluster C1 · 7.35 C2 · 7.18 ± 1.09 C3 · 2.36 ± 0.88 Analysis · Key Findings 01pH shift is the dominant factor. All pH 4.5 runs cluster together with ~2.4 g/L titer; pH ≥ 5.5 runs achieve ~7.2 g/L — a 3× difference. 02C3 runs grew to higher OD (mean 210 vs 192) but produced less product, suggesting pH 4.5 favours biomass over product formation. Intelligence / Data quality ## Monitor your data health. Invert constantly monitors data quality across your workflows. You will automatically get notified when data is missing or incomplete. Be confident that expensive experimental results yield data assets ready for future use. [Explore data quality](/product/intelligence) Data Quality — Invert (demo) FAIR Data Score Overall assessment across FAIR principles Findable100 Accessible100 Interoperable11 Reusable24 AI Readiness Data readiness for AI/ML workflows Add filter Severity FAIR Issue Type Affected Data Type Critical FindableReusable Missing timeseries data for runs 587 Runs High InteroperableReusable Missing event data for runs 792 Runs Medium InteroperableReusable Properties with unspecified data type 266 Properties Low FindableReusable Metrics without any timeseries 179 Metrics Intelligence / Invert Assist ## Use AI to answer anything about your bioprocess. _Prompt in. Python out._ Assist is our AI. It is an expert in both bioprocess and data science. Assist lets you dive deeper than ever before into your data, using only your curiosity. You will be surprised at what Assist can do, from hybrid modeling to model based DOEs, it's all a prompt away. 01 Answer hard questions in minutes, **no coding background needed** 02 DOE, anomaly detection, hybrid modeling, or PCAs — Assist will help you dive as deep into your data as you want 03 **Reproducible and traceable.** Assist only ever writes Python code that can be audited, reproduced, and defended [Learn more](/product/intelligence) Build prediction model DK13 clustering rep... Batch 51 vs Batch 4... We have 14 weeks to IND. Based on current batch cadence and remaining scale-up milestones, are we going to make it? Using skills: run-analysis · milestone-tracking Runs & context  ·  4/9/2026 09:14 USP-Run-001 · USP-Run-002 · And 36 more Skills: run-analysis · milestone-tracking ›Loading skill content and exploring run scope ›Computing batch cadence across 38 USP runs ›Mapping remaining scale-up milestones to timeline ›Analysing Protein A step yield trend — last 5 batches Batch PA Yield % Δ vs prior USP-034 98.4 — USP-035 97.8 −0.6% USP-036 97.1 −0.7% USP-037 96.5 −0.6% USP-038 95.2 −1.3% ›Synthesising IND timeline assessment Projected USP completion11 / 14 weeks ⚠ DSP risk flagged−4.2% Protein A yield trend IND Timeline Assessment — 14-Week Review Open report Report ready Can you build a model to predict step yield from the upstream parameters and tell me what's driving the decline? Using skills: ml-modeling · dsp-analysis Runs & context  ·  4/9/2026 09:15 USP-Run-001 · USP-Run-002 · And 29 more pairs Skills: ml-modeling · dsp-analysis ›Preparing USP Protein A paired dataset ›Feature engineering — extracting upstream predictors \# upstream feature matrix (31 pairs) features = \['peak\_vcd\_h72', 'do\_deviation\_integral', 'glucose\_depletion\_h48\_h72', 'mean\_pH', 'peak\_osmolality', 'lactate\_max'\] ✓ 31 complete pairs · 7 held out for validation ›Training Gaussian process regression — 31 training pairs ›Evaluating on holdout set and ranking predictor importance Predictor Importance Trend Peak VCD at h72 0.61 ↑ drifting high DO deviation integral 0.22 stable Glucose depletion h48–h72 0.11 stable ›Generating model summary and mechanistic explanation GP regression holdoutR² 0.91 Principal drivers identified3 predictors ⚠ Root causePeak VCD DBC overload Protein A Yield Prediction Model — GP Regression Open report Report ready Ask anything about your bioprocess data... Why teams choose Invert ## Tools to speed up science. 01 / Integrations ### Save scientists from grunt work. Bioprocess teams spend over 50% of their time managing data. Exporting data from instruments, aligning timestamps, normalizing units all costs precious time. With Invert, scientists can focus on the most important work. [Explore integrations](/product/integrations) 02 / Enablement ### Solve problems across unit ops. Bioprocesses are complex, and no single team member can optimize the whole process. With Invert, data from all teams and sources are easily analyzed and learned from. Customers consistently gain process insights that would have been otherwise missed. [Explore run directory](/product/enablement) 03 / Intelligence ### Turn experimental spend into data assets. Every run represents a significant investment. Process data and learnings are often lost to time. With Invert, every experiment contributes to your team's institutional knowledge. [Explore process knowledge](/product/intelligence) 04 / Intelligence ### Accelerate your science manifold. Invert users report doing in minutes what previously took months. Whether writing reports or training predictive machine learning, Invert's AI can help turn ideas into reality in minutes. [Explore Intelligence](/product/intelligence) “ We’d invested over two million dollars and six months of data science work into a digital twin that couldn’t run. Invert had us live in three days. An AVEVA PI integration would have taken six months minimum — and still wouldn’t have captured everything Invert does. IT IT Lead Top 10 global biopharma Customer Stories ## Compounding institutional knowledge. Top 10 Biopharma ### Operationalized a $2M+ digital twin by closing the Ambr250 data gap. <1 moto go live $2M+investment unlocked Real-timedata feed [Read the case study](/case-studies/digital-twin) Top 10 CDMO ### Recovering 3,000+ FTE hours per program in CMC biologics development. 3,046hours saved per program ~98%less manual data work Zeronew headcount [Read the case study](/case-studies/cmc-biologics) Clinical-Stage Cell Therapy ### Unified process data across process development and MSAT. $400Kcosts avoided 5platforms unified 12–18 mobuild effort avoided [Read the case study](/case-studies/bioreactor-platforms) Compliant with ISO 27001SOC 221 CFR Part 11EU GMP Annex 11EU Data ActAudit trail[Learn more about Invert’s security & compliance](/compliance)