Marketing infrastructure for the brand consolidation Laser Photonics already named.

The window

The April 30, 2026 shareholder letter framed strategic consolidation across CleanTech, CMS Laser, and Beamer as a 2026 priority. The same window has the board recruiting a Chief Revenue Officer and the new CFO turning a corner on the late 10-K and the restatement. The LPC AI-Driven Marketing Group brief sits on top of that work, not next to it. Eduba's read of the engagement starts there.

Three operating realities shape what a marketing partner can actually do in Year 1. The marketing function tops out at VP Sales and Marketing and one Marketing Director. The CRO seat is open and whoever lands it will own the commercial engine. The CFO seat is one day old, and audit-grade revenue reporting is the work that has to land before pipeline attribution feeds anything defensible in a 10-Q. A roadmap that ignores these realities will collapse on contact with them.

The 60/30/10 frame, applied to the LPC stack

Eduba consults under a 60/30/10 frame, applied directly to the LPC stack. Sixty percent of a marketing transformation is traditional work: CRM hygiene, content production, named-account list operations, sales-and-marketing service-level agreements, channel attribution between distributor pull and direct ABM push. Thirty percent is rule-based logic: routing rules, lead scoring, qualification gates, attribution plumbing that the CFO can defend. Ten percent is genuine AI orchestration: research synthesis across the Fortune 100 named-account list, generative content under a brand-locked context layer, predictive scoring at the account level, multi-agent workflows that compress research, drafting, and review.

Marketing transformations that skip this division burn budget putting LLMs where Postgres and process would do the job faster, cheaper, and with better audit posture. For a public company with an open CRO seat and a working CFO remediation cycle, the order is the work.

Closest precedent

The closest precedent in Eduba's portfolio is VigilOre. VigilOre operates a document-heavy compliance workflow inside a regulated extractive industry. Eduba delivered a multi-agent orchestration layer with audit-grade traceability, and the result mapped to a single number every member of the executive team could repeat. The methodology that produced that compression maps to LASE for the same reason: every outbound claim has to survive adversarial scrutiny, and every system that touches that claim needs to leave an audit trail. Engagement terms are not disclosed.

Governance framework

Eduba's published work on the governance side is the Ethics Engine, a psychometric assessment tool for evaluating ideological and moral patterns in LLMs. The companion repository is at github.com/RinDig/AuditEngine. It is the framework Eduba uses when generative systems touch regulated outbound communication.

Eduba partners with NLP Logix for work that sits below the orchestration layer. NLP Logix has been in machine learning since 2011 and runs over 150 data scientists. If a phase-two engagement extends into production data pipeline work or martech stack engineering after the roadmap lands, that partnership is the vehicle.