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Track F · research agenda

Foundation

What quality per watt and per euro is possible when data never leaves the organization?

Compute-spectrum efficiency, private retrieval-augmented generation, phone-scale inference, and offline self-learning document extraction.

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Directions

  1. Compute-spectrum efficiency study across local and private hardware.
  2. Private retrieval-augmented generation when data never leaves the organization.
  3. Phone-scale inference under energy and memory limits.
  4. Offline self-learning document extraction with LoRA.
  5. Reproducible benchmarks across the hardware spectrum, with raw logs.

Picture

ConceptualTarget frontier, measurements pendingCost per answerQualityTarget frontierMeasurements pending
View as table
Frontier schematic
AxisStatus
Cost per answerPending
QualityPending
Plotted pointsNone yet

Planned metrics

Values stay Pending until we publish logs.

Quality per watt

Adjudicated quality divided by energy used.

Value: Pending

Quality per euro

Adjudicated quality divided by monetary cost.

Value: Pending

Offline extraction completeness

Share of required fields recovered without cloud access.

Value: Pending

Connects to

Route · Ground · Assure · Physical

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