The Factory

Productized data & ML delivery. Scoped. Priced. Shipped.

Not every engagement needs a six-month discovery phase. Factory sprints are structured, time-boxed builds with fixed scope and defined deliverables. Pick a line, kick off, get production-grade output.

How It Works

01

Refine

Scope the problem

Technical audit, requirements capture, architecture blueprint. You get a document, not a meeting.

02

Forge

Build the system

Engineering sprint. Pipelines, models, infrastructure — built to your spec, in your stack.

03

Harden

Production-grade it

Testing, monitoring, CI/CD, security review. Nothing ships without ops readiness.

04

Operate

Keep it running

Ongoing support, drift detection, retraining, optimization. Optional — you can run it yourself.


Factory Lines

Data Pipeline Sprint

Production ETL/ELT in weeks, not months.

  • Orchestrated pipeline with scheduling
  • Data quality checks & validation
  • Monitoring & alerting
  • Full documentation & runbook

ML Model Sprint

From hypothesis to deployed model.

  • Trained & evaluated model
  • Serving endpoint with autoscaling
  • Evaluation report & metrics
  • Drift detection & retraining trigger

AI Agent Sprint

RAG, multi-agent, or LLM integration — production-ready.

  • Working agent system
  • Evaluation harness & test suite
  • Guardrails & safety layer
  • Deployment & observability

Platform Audit

Architecture review + optimization roadmap.

  • Technical assessment report
  • Bottleneck & risk analysis
  • Prioritized recommendations
  • Implementation roadmap

Ready to build? Pick a line.

Tell us which line you're interested in and we'll scope it within 48 hours.