ASR Applied

Solutions · Forward-Deployed Scientific AI

Embedded scientific engineering for research teams.

Forward-Deployed Scientific AI is one of ASR's service categories. The work happens inside your team's workflow: we understand high-friction workflows, build scientific AI and software around real constraints, evaluate those systems, and deploy them into usable research environments.

Available

Indicative duration is communicated where useful. We discuss pricing after scoping and do not publish fixed prices before we have enough delivery data.

Bring us a workflow

The workflow problem

Your team already has the pieces.

The research team already has scientists, data, software, models, spreadsheets, scripts, databases, and institutional processes. The problem is that the workflow still breaks.

  • Scientists
  • Data
  • Software
  • Models
  • Spreadsheets & scripts
  • Databases
  • Institutional processes
  • Manual handoffs

The intervention is not another tool. It is a system that closes the gap between them.

ASR's intervention

Discover → Scope → Build → Evaluate → Deploy → Learn & Scale.

The standard engagement lifecycle. Each stage produces a defined output and a decision point.

  1. Discover

    Observe the real workflow. Identify high-value intervention points.

  2. Scope

    Map data, tools, and systems. Define evaluation criteria.

  3. Build

    Build a narrow but complete vertical slice.

  4. Evaluate

    Test against defined criteria. Researcher review.

  5. Deploy

    Integrate into the approved research environment.

  6. Learn & Scale

    Productise reusable learning. Continue evolving.

Engagement ladder

Four stages, each with a defined objective.

We do not jump to deployment. Each stage produces a decision point and a defined output.

  1. Workflow Discovery Sprint

    Determine whether and where software or AI should intervene.

    • Workflow map
    • Pain-point map
    • System map
    • Data and integration map
    • Opportunity ranking
    • Architecture proposal
    • Pilot recommendation

  2. Applied Scientific AI Pilot

    Prove a defined workflow improvement.

    • Working vertical slice
    • Evaluation criteria
    • Benchmark or evaluation set where appropriate
    • Researcher review
    • Technical report
    • Go / no-go recommendation

  3. Embedded Deployment

    Operationalise a successful pilot.

    • Production-oriented system
    • Approved integrations
    • Observability
    • Operating documentation
    • Onboarding
    • Acceptance evaluation

  4. Ongoing Research Engineering

    Continue evolving high-value scientific workflows.

    • Retainer structure
    • Programme structure
    • Ongoing embedded team

Work with ASR

Bring us a workflow.

If your team has a high-friction scientific workflow, we will help you determine whether and where software or AI should intervene.

Start a workflow intake