14+
Years automation + AI
3
Core practice areas
1
Engineer start-to-finish
0
Days ramp-up
Core Competencies

Laboratory Automation

Full-lifecycle automation engineering: requirements through production support. Robotic liquid handlers, schedulers, LIMS integration, barcode/data exchange, method development and SAT.

Cell Line Development High-Throughput Screening Robotic Scheduling Method Development SAT/IQ/OQ

AI / Machine Learning Engineering

Production AI systems: RAG pipelines, multi-agent architectures, computer vision, predictive analytics. Self-hosted infrastructure on enterprise hardware.

RAG / Retrieval Multi-Agent Systems Computer Vision Predictive Models LLM Integration

Full-Stack Development

Modern web applications, real-time dashboards, API design, infrastructure automation. Vue, TypeScript, Python/FastAPI, Docker, Proxmox virtualization.

Vue 3 / TypeScript Python / FastAPI Docker / Proxmox Real-Time Dashboards CI/CD
Industries We Serve

Construction & Building Materials

Independent reps, GCs, material suppliers. CRM + market intelligence + supply-chain signals. Data portable, IP owned.

Rep networks Market signals Territory analysis

Pharma & Life Sciences

Lab automation in regulated environments. GxP-aware tooling. Tribal knowledge captured before the senior engineer leaves.

Cell line development HTS automation 21 CFR Part 11

Manufacturing & Industrial

Predictive maintenance, quality inspection, production scheduling. The data already exists — we connect it to decisions.

Predictive maintenance Vision QA Routing automation

Legal & Nonprofit

Document intake, case management, OCR pipelines. Privacy-first and self-hosted when compliance requires it.

Pro bono capacity Privacy-preserving AI Document intake
How We Work

Direct engagement

One engineer, start-to-finish. No account-manager layer, no handoff from the person who designs it to the person who builds it. You get the person who writes the code.

Scoped pilots, then scope-up

Most engagements begin with a small fixed-fee pilot (design review, proof-of-concept, or production-readiness audit) so both sides calibrate before committing to a longer arc.

Ship, measure, iterate

Working systems beat slide decks. Deliverables land in your environment — not a vendor sandbox — and improve on a weekly cadence against metrics we agree on up front.

Have a project in mind?
Lab automation, AI engineering, or full-stack work. Local or remote. Pilots welcome.
Book a 30-min call

Or email d.arney@darrenarney.com · darn-tech.com