--- url: https://invertbio.com/product/foundation path: /product/foundation kind: marketing --- Foundation # The data layer beneath every bioprocess decision. A unified namespace for every instrument, every historian, every scale. Bioprocess-aware transformation pipelines. End-to-end data lineage. Foundation is what the intelligence layer stands on — the reason every answer downstream is the same answer, no matter who asks, or from which team. [Book a demo](/demo) Unified data layer ## Every instrument, every historian, every system — in one layer. Invert is a unified namespace for your bioprocess data. Pre-built connections pull from your bioreactors, historians, cell counters, chromatography systems, LIMS, and ELN. Parameters arrive resolved, linked to runs, and ready to use — without custom scripts and without middleware. [Explore integrations](/product/integrations) Invert — Live Run · CHO-Fed-Batch · BR-04 Sources Ambr250 OPC-UA · 4s DeltaV / PI OPC-DA · 10s Vi-CELL BLU SFTP · auto-linked LabVantage API · synced ÄKTA Process idle 52 metrics unified 2 sources streaming BR-04 · 72h elapsed CHO-Fed-Batch · Ambr250 vessel 1 DO % pH Temp VCD offline LIVE Offline sample · h56 VCD31.2 ×10⁶/mL Viability93.8 % Titer2.4 g/L ↗ Vi-CELL BLU · auto-linked from ELN 48.6 % DO Ambr250 6.91 pH Ambr250 36.8 °C Temp DeltaV / PI 31.2 ×10⁶ VCD Vi-CELL · h72 Harmonize ## One metric library — every name, every unit, resolved. DeltaV calls it “Agitation.” The Biostat STR says “Agitator speed.” Invert maps both to a single canonical metric with standardized units. Your team queries one vocabulary, regardless of equipment source. 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 Dissolved Oxygen3 › % Ambr250 – OPC-UADeltaV – Process Data Viable Cell Density2 › ×10⁶/mL Vi-CELL BLU – Cell Counter Feed Volume4 › L DeltaV – Process DataOSIsoft PI – Historian Lineage ## Trace how upstream parameters drive downstream outcomes. See your full process in one view — from bioreactor through centrifugation, hold, and chromatography. Invert tracks stream volumes, step yields, and parameter lineage automatically across every unit operation. 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 ## Three steps to a unified data layer. 01 ### Connect whatever you already have Bioreactors, historians, LIMS, ELN, a data lake, Snowflake, an S3 bucket of run exports — we ingest from where your data already lives. OPC-UA, OPC-DA, SFTP, REST APIs, and file upload, all pre-built. 02 ### Resolve it into one canonical vocabulary Bioprocess-aware transformation pipelines map every vendor alias into one shared namespace. “Agitation” and “Agitator speed” become the same metric. Units, formats, and naming conventions are reconciled on the way in. 03 ### Every team queries one layer Scientists get structured, run-centric data. Data engineers get FAIR exports. IT gets a maintainable, enterprise-grade data layer with full audit trails and lineage across every unit operation. “ You can get more data direct to the Ambr250 than AVEVA PI can, because you also go file-based. There are temporary files, system logs, events, and more context stored in these log files. RD R&D IT Lead Top 10 biopharma Continue exploring ## The data layer is just the beginning. [Enablement ### Your data is consolidated. Now see what it reveals. Interactive reports, automated analyses, and data quality monitoring — all powered by your harmonized data layer. Explore Enablement](/product/enablement) [Intelligence ### Go beyond dashboards. Let AI find what you'd miss. Conversational AI that speaks bioprocess, writes auditable Python, and surfaces insights across your entire dataset. Explore Intelligence](/product/intelligence) Case study · CMC Biologics 3,046 FTE hours saved per program ~98% reduction in manual data effort 3 weeks to start monitoring your first run [Read the full case study](/case-studies/cmc-biologics) ## Start with a unified data layer. Most teams spend more than half their time on data instead of science. A unified data layer changes that in weeks — whether you're starting from paper batch records or layering on top of a mature historian stack. [Book a demo](/demo)[Explore integrations](/product/integrations)