Zarista Discovery helps biotech and R&D teams design, optimize, and deploy automated workflows and HT assays—moving from “it works once” to robust, monitored, and transferable operations.
Modular support—from a fast diagnostic to full workflow build, validation, and handoff.
Translate bench assays to plate-based formats with controls, dynamic range, and Z’ robustness suitable for screening and scale.
Liquid handling workflows, scheduling, consumables strategy, error recovery, and hands-on deployment aligned to throughput targets.
Make workflows portable: SOPs, acceptance criteria, training materials, validation plans, and structured handoffs across sites/teams.
Plate maps, controls, normalization, drift detection, and dashboards to keep performance stable across days, operators, and instruments.
A quick, high-yield assessment: bottlenecks, failure modes, and a prioritized roadmap to improve throughput and reproducibility.
Core assay and discovery domains where automation, robustness, and throughput materially change outcomes.
Phenotypic and target-engagement assays with attention to biology-driven variability, timing, cell handling, and robustness under automated execution.
Enzymatic and binding assays optimized for signal stability, miniaturization, plate uniformity, and reliable kinetic or endpoint readouts.
HTS-ready workflows with appropriate controls, Z’ performance, and failure-mode mitigation to support confident decision-making.
Follow-up assay cascades designed for throughput, comparability, and smooth transition from screening to chemistry-driven optimization.
Scalable assay execution and data consistency to support SAR, ranking, and compound progression with minimal re-work.
Automation succeeds when assay biology, data expectations, and execution constraints are aligned from the start.
A deep understanding of assay biology reduces downstream surprises. Success is not just more data earlier, but fewer failures later—during scale-up, transfer, and decision-making.
Behind every successful automation is a scientist who truly understands the assay. Technology enables scale, but scientific ownership drives robustness and trust.
Workflows are built to tolerate variability, instrument constraints, and human interaction—so they perform reliably outside idealized conditions.
Send a short description of your assay/workflow, current throughput, and the main constraint (time, variability, integration, or cost). I’ll reply with a recommended next step.
