Data Engineering & Quality
Cleaning, harmonization, validation, source traceability, and maintainable analytical datasets.
- Python, R, SQL, and spreadsheet workflows
- Versioned methods and QA protocols
- Automated repeatable reporting
Data Science & AI
Tools are only valuable when decisions improve.
Glyph builds transparent, reproducible analytical workflows that help organizations understand performance, test ideas, and focus action. We combine modern AI tools with statistical rigor and human review.
Applied analytics
Technical capability with a clear use case.
AI-Assisted MEL
Carefully supervised AI classification, coding, research support, and evidence synthesis with documented human validation.
- Classification audits
- Uncertainty and error review
- Traceable findings
Statistical & Geospatial Analysis
Causal inference, cost and performance models, GIS analytics, and scenario analysis for program decisions.
- Survey and administrative data analysis
- Spatial patterns and risk screening
- Interpretation and sensitivity testing
Decision Products
Reports, dashboards, evidence briefs, and tailored applications that present clear choices without obscuring assumptions.
- Dashboards and visualizations
- Decision-focused briefing products
- Maintainable handover and documentation
Emerging tools & frameworks
Reusable methods, selectively adapted to client needs.
Lift Lab
An evolving internal experimentation and design-planning toolkit. Demonstration and specific capabilities are subject to review; it is not advertised as generally available software.
REVEAL
Glyph's risk, expenditure, vendor eligibility, authorization, and ledger framework for auditable expenditure oversight.
Explore REVEAL →MEL diagnostic workflows
Configurable assessments, data-quality checks, and analytical templates offered through tailored consulting engagements.
AI-assisted does not mean AI-unchecked.
We use human review, sampling, testing, versioning, provenance tracking, and transparent limitations to make analytical results defensible. Existing client tools can be improved rather than replaced.