The problem

Design-time mistakes surface weeks later.

In most labs the experiment you designed and the workflow that actually runs can differ, and the only way to find out is to run it on live cells.

01

Translation gap

The experiment you designed and the workflow that runs may differ.

02

No way to check

Correctness is confirmed only by running it on live cells.

03

Late consequences

An authoring mistake surfaces on day nine, not at submission.

04

No cheap practice

Every attempt to learn costs days to weeks.

The root cause

Mistakes are made at design and discovered on live cells.

Bioflow moves that discovery into software, before a single flask is committed.

Architecture

Control, and the logic on top of it.

Most lab automation software forces a choice between easy and flexible. Bioflow layers both: the Operator owns the machine, the Scheduler owns the science, and they run on the same RoboCell and the same data.

Bioflow Operator

Control & visibility

Where control becomes cell culture: see what the system is doing at every level, and act on it.

  • Real-time monitoring and system status
  • Labware, media, reagent and cell-line inventory
  • Environment held against thresholds, with alerts
  • Guided error recovery and direct control
  • Remote access and monitoring
  • Audit trail and sample traceability

Speaks: devices · positions · conditions · faults

Bioflow Scheduler

Logic on top of machine control

Expresses work in the language scientists use, and turns scientific intent into machine operations.

  • Visual, graph-based protocol editor
  • Simulation and consistency checks before dispatch
  • Job scheduling against real device availability
  • Resource estimation and run parameters
  • Cross-run data aggregation and analytics
  • Lineage and traceability across runs

Speaks: actions · tasks · passages · protocols

Bioflow Operator

The operating system for the robot.

From the moment a run begins, the Operator owns system and device monitoring, storage, environment integrity and fault recovery.

Bioflow Operator monitoring page
Monitoring page — status of every component within the system in one view.
Bioflow Scheduler

Composed from validated units.

Every procedure is assembled from small, reusable units. That is what keeps authoring approachable without code.

Layer 1

Action

A single atomic action — the smallest step.

Layer 2

Task

Actions grouped into a meaningful operation.

Layer 3

Passage

Tasks sequenced into a repeatable stage of culture.

Layer 4

Protocol

Passages composed into the full procedure a run executes.

Bioflow Scheduler

Design it. Simulate it. Run it. Trace it.

Scientist-controlled, end to end. What previously required an engineering request is performed directly by the scientist.

Protocol canvas — a suspension split protocol authored as a visual flow.
Why Bioflow

Purpose-built for cell culture.

01

Made for cell culture

Built around cell-culture workflows rather than a repurposed general-purpose lab robot.

02

Operable by scientists

Protocol authors execute their own runs without an engineer in the loop.

03

Flexible, not rigid

Protocols adapt to the workflow instead of constraining it.

04

Scales with process

Designed to connect with upstream and downstream process.

Bioflow overview video
See it run

One protocol, from canvas to completed passage.

Protocols are built visually from standard task blocks, checked against a model of your system, and scheduled around everything else already running. Parameters that change per experiment — seeding density, passage ratio, media volume — are exposed as run parameters, not code.

  • Graphical workflow development with reusable protocols per cell line
  • Process parameters stored or changed on the fly for consistent control
  • Results and environmental conditions can direct workflows automatically
Open by design

Fits the lab you already have

Bioflow exposes an API for job orchestration and labware tracking, and integrates third-party instruments inside the RoboCell enclosure.

Instruments

Beckman Coulter Vi-CELL BLU cell counting, brightfield confluency imaging, liquid handlers, centrifuges, label printers and more, controlled from a single interface.

Schedulers & orchestration

A documented Bioflow API lets external lab schedulers and orchestration platforms start jobs, query labware and receive results.

LIMS, ELN & data

Sample lineage, images, run parameters and environmental logs are exportable for your data platform and analytics pipelines.

Cryogenic storage

RoboStor and its SkyView C3® inventory software integrate directly with RoboCell for closed-loop biobanking.

Remote access

Monitor system status, inventory and environmental conditions from anywhere, with notifications when attention is needed.

Legacy protocols

Our application team helps migrate existing scheduler protocols onto Bioflow’s visual editor as part of every deployment.

Request API documentation

Compliance

Made for regulated labs.

Every action, image and environmental reading is logged against the sample lineage, so a flask’s complete history is always one query away.

Designed toward

21 CFR Part 11

Supports electronic-records and signature needs as compliance matures.

Audit trail

Each run logs operator and system actions and their timing automatically.

Traceable records

Results link back to their protocol, run and materials, with images and environmental logs attached.

Structured export

Records arrive structured for review and reporting, with role-based access control and electronic signatures.

Ask us about validation support (IQ/OQ documentation and compliance configuration) for your site.

Transformation

RX → DX → AX

Three transformations, one platform. Each stage builds on the data and control foundation of the one before it.

RX · ROBOTIC

Robotic transformation

Manual lab workflows converted into standardized, enclosed robotic tasks by RoboCell and Bioflow. Rock-solid execution and recovery, run after run.

DX · DIGITAL

Digital transformation

Full traceability and continuous aggregation of data and visualization across runs, systems and sites.

AX · AI

AI transformation

Intelligent guidance on protocol design, job scheduling and resulting data — toward a loop that proposes and refines protocols under supervision.

Bring a protocol. Leave with it scheduled.

Live Bioflow walkthrough with an application scientist, on your workflow.