Run strain-improvement campaigns with construct tracking, fermentation data, and reusable growth and titer analysis.
Strain engineering for fermentation and bioproduction is a high-throughput numbers game — hundreds of strains, each with edits, growth profiles, and titer measurements that only matter in relation to each other. When the design lives in one tool and the screening data in another, ranking strains and learning across rounds is slow and error-prone. Cypher connects construct design, strain tracking, and screening analysis so each round of improvement builds cleanly on the last.
One connected platform for the work you do today and the data you generate tomorrow.
Register edits, constructs, and resulting strains with annotated sequences and full parent-child lineage across rounds of engineering.
"Plot OD600 and product titer over time, normalize, and rank strains by specific productivity" becomes a reusable widget the whole team runs on every screening plate.
Ingest plate-reader and bioreactor output through pipelines, aligning time-series across runs and linking it to the strains that produced it.
Track which edits and ML-designed variants advanced, with predicted vs. measured performance, so the design strategy improves with every round.
Structured strain and run metadata makes the handoff to process development a query, not a re-creation — the same platform carries you from screen to scale.
Generate and register a library of edited strains, each with lineage to its parent and the modifications made.
Run growth and production screens; upload plate and bioreactor data through pipelines linked to each strain.
A reusable widget computes growth and titer metrics and ranks strains; results feed the next design round.
Promote top strains with full metadata intact, ready for process development on the same platform.