Full Deployment Remediation

End-to-end. From broken to production-grade.

Complete Ground Truth diagnostic. Full implementation. Pipeline architecture for long-term stability. Monitoring and drift detection. For mission-critical systems where the diagnosis alone isn't enough.

Discuss your situation

Starting at $10,000/month · Engagement-based · Inquiry required

Defense · Medical · Industrial·Mission-critical only
01 · When diagnosis isn't enough

Who this is for

The diagnosis tells you what's wrong. Sometimes your team can fix it. Sometimes they can't — because of timeline, complexity, or the nature of the failure.

This engagement is for situations where you need the fix implemented, not just identified.

  • Mission-critical vertical where getting it wrong has consequences beyond a bad metric — defense, medical, industrial, autonomous systems
  • Your team can't complete the remediation within the deadline you're facing
  • The failure is architectural — not a config fix but a pipeline rebuild, a monitoring overhaul, a deployment redesign
  • You need ongoing support through the deployment milestone — not a report and a handoff
  • A high-stakes milestone is approaching: DoD demo, FDA submission, client deployment, investor demo

This isn't consulting. It's embedded remediation. I'm in your Slack, reviewing your PRs, responding to incidents. Until it's deployed and stable.

02 · Full scope

What's included

01Complete Ground Truth Diagnostic

Every remediation starts with a full diagnostic. Three failure modes identified. Root cause. Fix sequence. This is the same $1,500 diagnosis — included in the engagement.

02Full Implementation

Not just identifying the fix — implementing it. Pipeline synchronization. Environment parity fixes. Distribution mismatch remediation. Whatever the diagnostic reveals, we fix.

03Pipeline Architecture for Long-Term Stability
  • Single codebase for training and serving pipelines — structural impossibility of divergence
  • Automated parity tests in CI/CD — deployment blocked if pipelines disagree
  • Feature store integration where applicable — one source of truth for feature computation
  • Version-locked artifacts with digest pinning — no silent drift
04Monitoring and Drift Detection
  • PSI alerts on every feature — distribution shift detected before it affects predictions
  • Performance tracking against production ground truth — not just offline metrics
  • Data quality monitoring — input validation, schema enforcement, missing value detection
  • Incident runbook — what to check first, second, third when production degrades
05Embedded Engagement
  • In your Slack — real-time communication with your engineering team
  • PR reviews — every ML-related change reviewed before merge
  • Incident response — when production degrades, I'm the first call
  • Knowledge transfer — your team understands every change and why it was made
03 · Verticals

Built for high-stakes deployment

Defense / UAS
  • ITAR-aware engagement protocols
  • NDA and security clearance compatible
  • No second chances on demonstration day — systems must perform in field conditions
  • Experience with DoD program milestones, SBIR timelines, series-gated funding
Medical / FDA
  • FDA submission documentation support — change records, validation protocols
  • Domain adaptation for field devices vs. lab equipment
  • Understanding of regulatory timeline pressure
  • Experience with De Novo, 510(k), and PMA pathways
Industrial / Automation
  • The problem is almost always pipeline parameters, not the physical environment
  • Fixes that don't require retraining — faster to deploy, less risk
  • Production line integration without downtime
  • Client-facing deployment support
04 · How it works

From inquiry to stable deployment

01Inquiry

You reach out. We have a scoping conversation about your system, your timeline, and what's failing. No charge. If a $1,500 diagnosis would solve this, I'll tell you — this engagement is for situations that need more.

02Scope

Based on the scoping conversation, I propose a specific engagement: timeline, deliverables, monthly investment. Everything is defined before we start. No open-ended billing.

03Diagnostic

Full Ground Truth diagnostic. Same rigor as the standalone diagnosis. This becomes the remediation roadmap — every subsequent implementation decision traces back to specific findings.

04Implementation

Fix sequence executed in priority order. Pipeline synchronization. Environment parity. Distribution remediation. Monitoring deployment. Each fix validated against production metrics before proceeding to the next.

05Ongoing retainer

After remediation, transition to monitoring and support. Monthly retainer. PR reviews, incident response, drift monitoring. Scale down as your team takes ownership.

05 · Investment

From $10,000/month

$10K+
per month · engagement-basedscoped before start · no surprises

Scope drivers

Every engagement is scoped individually. The factors that determine investment:

  • System complexity — number of models, pipeline architecture, deployment topology
  • Timeline pressure — a demo in 2 weeks vs. a submission in 3 months changes the engagement intensity
  • Vertical requirements — defense and medical carry additional compliance and documentation overhead
  • Team capacity — how much your team can own vs. what I need to implement directly

No open-ended billing. No surprise invoices. Scope defined before we start. Monthly investment agreed in advance.

Not sure if you need full remediation? Start with the $1,500 diagnosis. You'll know exactly what's wrong. If your team can fix it — great. If not, the diagnosis becomes the first phase of remediation and the cost is credited.

For situations where the diagnosis isn't enough

The diagnosis told you what’s wrong.
Your team can’t fix it within the timeline.
The stakes are too high for another failed attempt.
You need it implemented — not just identified.
Discuss your situation

Starting at $10,000/month · Engagement-based · Inquiry required

Just need the diagnosis? $1,500 · 48 hours · Moe personally →