A sample of recent engagements. Full write-ups available under NDA — get in touch for the long version.
Replaced a manual triage queue with a fine-tuned classifier + retrieval agent.
Built a forecasting pipeline that reduced overgeneration costs across 14 plants.
Ambient scribe + structured-output system now handles 9,000 notes/day.
Replaced a rules engine with a graph-aware classifier. Stopped 67% more fraud at 40% fewer false positives.
RAG system over 18 years of research reports. Analysts now produce 11x the briefs at the same headcount.
Automated code review and release-notes generation across 47 microservices.
The problem. Meridian's support queue received 2,400 tickets/day across 180 lanes. Human triage averaged 14 minutes per ticket before routing to a specialist.
What we built. A fine-tuned classifier over 400K historical tickets + a retrieval agent that surfaces the three most similar resolved cases. Integrated directly into Zendesk.
Outcome. Median resolution time dropped from 47 to 27 minutes. Specialist escalations down 31%. Delivered in 11 weeks.
The problem. Overgeneration across 14 plants was costing Volta $2.3M/year in wasted capacity. Existing forecasts used 5-year-old statistical models.
What we built. A gradient-boosted forecasting pipeline that incorporates weather, load history, and grid-interconnect signals. Deployed on Volta's existing AWS footprint.
Outcome. $1.8M in verified annual savings. Forecasts now run hourly instead of daily. Volta's data team owns and extends the pipeline.
The problem. Clinicians across Helix's 22-clinic network spent 34% of their time on documentation. Existing dictation vendors had 12% error rates on medical terminology.
What we built. An ambient scribe with a structured-output layer that maps conversations to the EHR's required schema. Built on Whisper + a fine-tuned 7B model. HIPAA-compliant, fully on-prem.
Outcome. 9,000 notes/day processed. Clinician throughput up 3.2x. Word-error rate on domain terms dropped to 2.1%.
We take a small number of new engagements each quarter.
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