Proven depth
AI for Higher Education
Institutional analytics, research computing, and governed campus AI.
Business outcomes AI can move
- Increase enrollment yield and tuition revenue per cohort
- Reduce student attrition and protect recurring tuition
- Cut administrative cost per enrolled student
- Accelerate research grant cycles and publication throughput
AI capabilities
Each capability maps to a business KPI, revenue, cost, risk, or cycle time, not model accuracy on a slide.
Revenue
Enrollment yield optimization
Predict which admitted students will enroll and which need outreach, fill seats without over-discounting.
Student retention models
Flag at-risk students early, advising interventions that protect retention revenue.
Cycle time
Admissions & inquiry agents
Answer prospective student questions 24/7 with governed retrieval, more qualified inquiries, fewer counselor hours.
Research data pipelines
Automate ingestion, QC, and feature extraction for grant-funded work (faster time to results and renewals.
Production use cases
- Enrollment & retention forecasting
- Research data pipelines
- Responsible AI for campus operations
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Selective intake · Q2 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.