LingXi ranks synonymous designs by expression potential, vector fit, sequence stability, RNA liabilities, and manufacturability before wet-lab validation starts.
Try NowTurn genetic design into validated experimental evidence.
Crossilico combines online design tools, LingXi algorithmic optimization, and wet-lab validation so AAV, CAR, gene-editing, and dataset programs can advance with clearer data and fewer late-stage surprises.
AAV optimization / CAR binder discovery / safety testing / wet-lab dataset generation
LingXi Algorithm
Same protein output. A more developable gene sequence.
Without changing the encoded protein, LingXi co-optimizes AAV packaging, expression efficiency, DNA stability, mRNA risk, and manufacturing safety to return sequence candidates that are closer to real development use.
AAV packagingExpression efficiencyDNA stabilitymRNA riskManufacturing safety
Expression assay screenObserved uplift window after synonymous redesign, while preserving the exact encoded protein.
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Sequence optimization viewFurther gain on an already strong design after balancing expression, stability, and safety filters.
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QCR100 consistency readoutLow coefficient of variation across QCR100 readouts, supporting reproducible QC decisions.
View DetailsService Portfolio
Build and test services for early CGT decisions.
Build Service
AAV Genome Optimization & Validation
Design AAV genomes, optimize with LingXi, validate expression and quality attributes.
Optimization + validation
Build Service
AAV RUO Manufacturing
Preclinical-grade batches with release reports, QC data, and process parameters.
RUO batch delivery
Build Service
CAR Binder Discovery
Move designed binders into synthesis, expression, affinity, and specificity testing.
Synthesis to testing
Test Service
Gene Editing Off-Target Assessment
Computational prediction plus validation data for guide selection and safety review.
Prediction + validation
Inside CrossilicoDesign engine + wet-lab loop
Company Platform
Built around our own optimization engine, lab workflows, and delivery files.
Crossilico is not only a service list. Our projects run through a connected internal workflow: LingXi candidate ranking, molecular biology review, validation planning, QC checkpoints, and structured data handoff.
01LingXi Optimization Engine
Sequence and construct candidates are scored before synthesis or validation work begins.
02In-House Wet-Lab Readouts
Expression checks, sample QC, plate workflows, and assay notes stay linked to each project.
03Traceable Delivery Package
Clients receive sequence files, assay summaries, raw data, QC notes, and interpretation together.
Integrated Delivery
Digital design and wet-lab execution stay connected from the start.
Project teams can move from sequence review into validation planning without losing context. Each handoff preserves the original design rationale, assay plan, QC notes, raw reads, and final interpretation.
AAV sequence review
Original and optimized sequence files are checked before validation.
Experimental validation
Assay plans, QC checkpoints, and sample notes stay visible.
Decision-ready data
Reports, raw files, and structured tables move together.
Service handoffAAV -> Validation
Sequence files, assay plan, QC readouts
Lab Evidence
Wet-lab validation turns optimization into evidence.
Experimental work is planned around the biological question behind each program. Assay execution, QC review, interpretation, and file delivery are coordinated so results stay connected to the design history.
BenchAssay execution
Sample prep and plate workflows.
DataRaw + structured files
Reads linked to project records.
ReviewTraceable reports
Interpretation ready for decisions.
Closed-Loop Workflow
A practical route from hypothesis to evidence.
Set up construct logic and sequence inputs.
Score candidates with LingXi and project constraints.
Run wet-lab assays, QC checks, and expression studies.
Deliver reports, raw data, sequence files, and next steps.
Start a Project
Start with design, optimization, validation, or data generation.
Crossilico connects the digital and wet-lab work needed to choose better candidates before expensive development decisions.