Solutions

Proven results

Three projects, measured. Here is what changed.

~$49K

modeled technical debt from AI code review over 4 months, public data

AI code review check

Found redundant AI suggestions piling up as debt
Built a check that flags them before they ship
Up to 87.5% agreement with senior engineers

Watch the talk →Summary (PDF)

+32%

higher F1 than classical machine learning on the hard cases

Accurate AI with little data

No training data needed
Matched expert human coders
Published research

Read the research →Summary (PDF)

99%

of traceable relationships were built by the program

Relationship mapping

Mapped who works with whom across a regional program
Showed funders the program built the network
Found the key people who hold it together

See the service →Summary (PDF)

Also underway

Ars Network: network surveys without 35+ hours of data cleanup Paid pilots
AI training: built for your team and level Since 2018
Ars Hygieia: AI front desk and booking for clinical practices Working demo
AI that runs behind your firewall
Capturing expert know-how before people retire
Faster workflows, with AI only where it saves hours
Finding the champions who speed up AI adoption

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