Exoskeleton accelaration for ultra-fast summarisation

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faster inference
higher throughput

We demonstrate our capability to develop lightweight, task-specific exoskeletons for LMs that yield significant speedups. Anywhere an LLM is called repeatedly on a task, exoskeleton specialisation achieves speed increases, alongside cost- and energy-reduction, all without sacrificing a fallback to full capability when the task demands it.

Example applications include:

Customer support triage: classifying tickets, routing queries, and extracting order IDs millions of times daily, where milliseconds and pence compound.

Document extraction in legal and insurance: pulling clause types, coverage limits, or liability flags from known document templates at intake scale.

Compliance screening: checking transactions, contracts, or communications against regulatory rulesets. High volume, low tolerance for latency or cost bloat.

Medical coding and billing: mapping clinical notes to ICD and CPT codes, a narrow vocabulary task repeated across every encounter in a health system.

Earnings call and filing extraction: parsing guidance language, flagging material changes, and scoring sentiment across thousands of transcripts and 10-Ks per quarter. Here, latency is alpha and inference cost scales with coverage.