Your factory generates more data in a day than most tech companies generate in a month. Vibration sensors, thermal cameras, vision systems, PLC logs — gigabytes of signal that your current stack ignores or stores in a data lake nobody queries. I help manufacturers deploy AI where it matters: on the shop floor, in the control loop, at the edge. Predictive maintenance that prevents downtime. Vision inspection that catches defects humans miss. Autonomous material handling that runs 24/7. The AI runs on your hardware, under your roof, with your data staying in the EU.
Five services designed for manufacturers and industrial operators. Each follows the DEPLOY Method — from diagnosis through capability transfer.
Four weeks to a strategy document, a business case, an ROI model, and a 12-month execution plan — reconciled end to end and defensible to the board, the CFO, and your head of engineering
Eight weeks. A fine-tuned open-weight model — Llama 3, Mistral, or Qwen — that outperforms GPT-4 and Claude on your vertical while running on infrastructure you control
Sixteen weeks to AI running on the edge — inside a factory, a vehicle, a substation, or a sovereign infrastructure site — with the safety evidence, the SRE handoff, and the integration your operations team will accept
Twelve weeks to harden a working AI pilot into a system that will survive its commercial stage gate — whether that is an enterprise launch, a public sector go-live, an SME rollout, or a Series A
Eight weeks to engineer prompt-injection defense, PII redaction, audit logs, and a real threat model into your AI pipeline — before a red team finds them missing
Twelve to twenty-four weeks to risk-classify your AI systems, complete the conformity assessment, produce the Annex IV technical documentation, and stand up post-market monitoring — before an enforcement deadline finds you unprepared
A monthly retainer that runs your production AI like a production system — dashboards, alerts, eval regressions, on-call response, cost tracking, and the quarterly model-refresh call your team would otherwise skip
Part-time executive AI leadership — six to twelve months, two days a week — owning the AI P&L, governing risk, reporting to the board, and coaching the team you will eventually promote into the seat
Auralink: 400+ microservices and ~20 AI agents managing physical infrastructure in production. ABB: EV charging systems and industrial automation go-to-market. Renault-Nissan-Mitsubishi: Connected vehicle platform across 39 countries. Cisco: Network infrastructure serving 100M+ users. This isn't consulting theory — it's production systems I built, deployed, and maintained.