Optimizer for Services

Turn assay optimization into repeatable capacity

Design more informative experiments, prepare automation-ready
outputs, and carry what you learn across runs and projects.

Request Early Access

Spend less time rebuilding between projects

Optimization work compresses margin when every assay requires manual redesign, protocol translation, and repeated troubleshooting.

The Optimizer connects assay design and execution planning in one workflow, helping teams shorten optimization cycles and move more assays onto automation.

From client goal to next run

Four-step experimental loop: Define, Design, Prepare, and Learn
  1. Define

    Bring in the protocol, performance targets, client requirements, and instrument constraints.

  2. Design

    Choose the parameters, ranges, controls, and conditions worth testing.

  3. Prepare

    Generate condition tables, plate maps, protocols, and automation-ready files.

  4. Learn

    Connect results to the conditions that produced them and use them to guide the next round.

Build capacity without adding the same
amount of headcount

Assay teams

Set up structured high throughput runs without rebuilding the plan from scratch.

Automation teams

Receive run-ready outputs designed around labware, volumes, and liquid-handler constraints.

Lab and project leaders

Create more repeatable delivery across scientists, projects, and clients.

Designed for service environments

The Optimizer is built for analytical services teams running plate-based workflows where faster optimization and greater automation utilization translate directly into capacity.

ELISA optimization · Cell-based assay development · Media optimization · Screening preparation · Assay development · Bench-to-automation transfer

More assays on automation. More
capacity for what comes next.

Early access is open to selected CRO, CDMO, and analytical services teams.

Request Early Access

Contact Us

Interested in piloting Potato? Have a partnership idea?

We'd love to hear from you. hello@potato.ai