The intelligence layer for quantitative imaging.

01 · Agentic Imaging

Run, diagnose, and improve the system.

Use system context and bounded tools to prepare and monitor approved runs, investigate exceptions, and evaluate candidate changes while the Verified Pipeline remains the execution system of record.

Learn more

02 · Scientific Insight

See what changed, where, and under which conditions.

Turn released, evidence-bearing imaging measurements into condition, phenotype, temporal, and spatial analyses linked through stable identifiers to source images and experimental context.

Learn more

03 · Verified Pipeline

Keep evidence attached to every result.

Turn approved imaging methods into controlled execution with explicit operating conditions, stage-level QC, provenance, review, and change control.

Learn more

04 · Computational Imaging

Make complex signals measurable.

Design computation around the instrument, sample, and intended measurement—from calibration and reconstruction to segmentation, tracking, and quantitative features.

Learn more

05 · Adaptive Acquisition

Let the experiment respond in real time.

Connect live image analysis to bounded instrument control so acquisition can refocus, retarget, rescan, change sampling, or switch modes as the experiment changes.

Learn more

Agentic Imaging

Automate expert coordination without giving up control.

A governed agent can prepare runs, monitor evidence, investigate exceptions, and test candidates. The Verified Pipeline still decides what runs.

Governed agency

Delegate recurring work, not authority.

Use an agent where approved workflows still depend on repeated expert coordination.

  • Prepare approved work

    Assemble the required context and tools before a run starts.

  • Watch distributed evidence

    Follow QC, lineage, state, and exceptions across systems and time.

  • Investigate exceptions

    Compare inputs, versions, logs, related runs, and past decisions.

Figure 1

Define governed agency around an approved imaging workflow.

Scroll to see the whole figure →

Every stage before the gate is reversible and costs nothing but attention; everything after it changes what runs. Drawing the gate inside the loop rather than beside it is the point — there is no path from a proposal back to the workflow that does not pass a person.

Concrete deliverables

Define the task before the agent.

Fix the context, tools, authority, evaluation, and escalation path first.

  • Operating specification

    Task boundary, allowed tools, review points, stop conditions, and escalation owners.

  • Grounded context

    Versioned access to experiment metadata, pipeline definitions, run evidence, and reviewed cases.

  • Evaluation package

    Tests for task success, policy adherence, recovery, cost, and record quality.

Representative applications

Bounded tasks, not open-ended autonomy.

Each pattern starts with one task and stated authority.

  • Workflow operator

    Prepare an approved run, monitor state, and route exceptions.

  • Exception investigator

    Gather related evidence and return an investigation a person can check.

  • Maintenance and improvement

    Reproduce failures and evaluate candidates without changing the approved pipeline.

Trust, limits, and evidence

Capability is not permission.

Authority, evaluation, safe stopping, and a readable action record are part of the capability.

  • Authority, written down

    Define what the agent may read, propose, do, request, or never touch.

  • Inspectable actions

    Record context, tools, results, errors, retries, approvals, and artifacts.

  • Process evaluation

    Score task success and policy adherence separately, including safe failure.

Figure 2

Separate technical capability from permission to act.

Scroll to see the whole figure →

Read a row left to right and it stops somewhere. Reading and analysis are granted everywhere, because withholding context only makes the work worse — authority to change is granted nowhere without a person, and over the instrument not at all. The ladder is written before the agent runs, not inferred afterwards from what it did.

Agentic Imaging coordinates work; the Verified Pipeline owns approved execution, evidence, and release.

See the complete system

Continue exploring

Follow the question from another angle.

  • Principle

    A model is not the system.

    Why useful automation depends on the data, controls, and workflow around it.

    Read the Lab Note

  • Approach

    See the controlled backbone.

    Follow the pipeline an agent may observe but cannot silently replace.

    Explore the approach

  • Application

    Find the recurring work.

    Browse imaging programs where coordination and exceptions accumulate.

    Browse applications

  • Partnership

    Define a bounded first task.

    See how Fovea frames focused work before choosing the automation.

    View services