Case Studies

A global interactive entertainment platform received tens of thousands of abuse reports monthly—~80% non-actionable. Moderators burned out on noise; users felt ignored. The platform needed to protect young users without simply hiring more people.

1. NLP actionability & severity scoring on each incoming report.
2. Crisis auto-routing for life-safety language directly to local authorities.
3. AI-recommended responses proportionate to violation severity.
4. Hotkey reporting with automatic client + server log capture spanning the incident.
5. A/B model testing and multilingual classification across the pipeline.

A LegalTech platform helping small firms in medical malpractice faced a common defense tactic: massive, disorganized document dumps. Paralegals manually sifted thousands of pages under deadline. Missed evidence, exhausted staff, exhausted clients.

1. Validated AI extraction of dates, timestamps, and critical facts across heterogeneous formats including OCR'd handwritten records.
2. End-to-end QA on timeline-stitching logic—the platform's core value proposition.
3. Systematic QMS testing surfaced high-volume bugs and accelerated hardening.
4. UX and performance improvements for time-pressured legal workflows.
5. Sustained delivery: month-to-month extension across a full year.

A clean energy startup set out to build the world's first AI/ML discovery platform for a strategically critical subsurface energy source—turning fragmented USGS, NOAA, and international datasets into ranked, explainable exploration intelligence.

1. Cloud-native geoscience data lake on AWS (S3 + PostGIS) with automated ingestion across geological, geophysical, gravity, magnetic, and heatflow datasets.
2. H3-based global grid + PostGIS feature engine: fault density, ultramafic proximity, geophysical anomaly overlays.
3. XGBoost ensemble + DBSCAN spatial clustering with a confidence-adjusted Prospect Score that surfaces—not masks—data gaps.
4. Explainable product layer: interactive map, signal attribution panel, and exportable PDF briefings.
5. Responsible AI by design: RBAC, missing-data transparency, feature contribution scoring from day one.

SynapSeek—a clinical AI platform detecting Alzheimer's, Parkinson's and other neurological diseases up to a decade pre-symptom—had world-class science but needed company-building muscle: incorporation, hiring, compliance, and capital, without overpaying vendors who routinely upsell early-stage founders.

1. Full incorporation, governance, and investor-ready corporate structure.
2. Vetted vendors across payroll, equity, insurance, IP, HIPAA, SOC2, and cybersecurity—steering away from over-priced incumbents without compromising quality.
3. Patent application filed via a cost-effective, highly responsive IP attorney identified through market-wide search.
4. Go-to-market: university partnership pipeline, investor pitch & deck, accelerator applications, seed fundraising support.
5. Engineering team contributed to early clinical AI prototype build and QA.

A well-funded PropTech startup—backed by PE and institutional investors—aimed to compress property transactions from months to days using blockchain and smart contracts. Founders were experienced realtors with zero technical background. A previous fractional CTO engagement had failed.

1. Mapped specific hiring constraints: skill level, cultural fit, realistic budget—before screening a single candidate.
2. Screened 30 candidates down to 2 hires + 4 backups via a structured funnel.
3. Programming tests and technical interviews calibrated to blockchain and PropTech delivery.
4. Walked founders through Amazon-style structured rubrics and signal-based assessment—made hiring legible to non-technical stakeholders.
5. Designed the engagement for independence: client equipped to run future hiring cycles without external help.

Across hotels, offices, and multi-residential properties, pest control and chemical treatment operations ran on falsifiable paper logs. Service gaps were invisible until problems escalated; consumable restocking was reactive; billing reconciliation was slow and disconnected from evidence.

1. Geo-tagged photo & video capture of each treatment—tamper-evident, timestamped, location-verified.
2. QR codes at floor and section level for room-level precision at near-zero hardware cost.
3. Unified digital workflow connecting scheduling, logging, and billing—paper eliminated.
4. Low-cost IoT sensors on consumable dispensers triggering proactive restocking alerts.
5. Deployed across hotels, offices, and apartment complexes—flexible across operational contexts.