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Applied AI

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AI features connected to the work people do.

We build AI features around a real workflow. That means domain-specific prompts, expert feedback, training data, and knowledge bases when they are needed. The AI stays inside the product instead of sitting in a demo by itself.

See what’s included
TRACE-AMP research interface with biophysical properties and a helical-wheel view for a sample sequencePlant Health Clinic interface for reporting a plant-health concern
TRACE-AMP: interface demo with sample data, 2 October 2026. Plant Health Clinic: September review build.

What goes
into it.

The scope follows your audience, workflow and operating requirements.

A clear path
through the work.

Delivery & support
  1. Define the task and boundaries

  2. Connect the relevant knowledge

  3. Keep human review in the workflow

  4. Test the outputs and failure cases

In the work.

The projects and workflows behind this service.

KashCrop

A regional product workflow where practical orchard tools can grow into applied AI over time.

Treat My Fish

Growers send photos, location, and water readings from a mobile app. Vizier drafts a diagnosis. Fisheries experts review the case in a web dashboard.

TRACE-AMP

Researchers enter a protein, DNA, or RNA sequence. The workbench calculates its properties, shows predicted structures, and checks databases and papers.

It all connects.

Plan the
next step.

Tell us about the people, process and constraints.

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