Who We Are
Senior technical leadership, without the theater.
Crimson Edge is the practice of Sterling and Heather Blood. Data, ML, and systems operators who build infrastructure teams can actually own.
Heather Blood
CEO
Database architect. Platform builder. Production operator.
- Ten years shipping production data systems across four industries.
- Database and BI platform architect at Progressive Leasing and InvoiceCloud.
- Trusted to stabilize pipelines and infrastructure that teams depend on every day.
Heather has architected databases, built BI platforms, and engineered production data pipelines at scale. She is the engineer you bring in when the infrastructure needs to work, and the operator who makes sure it keeps working after she leaves.
Sterling Blood
Chief Consultant
Data platform architect. ML engineer. AI systems operator.
- First data hire at Jasper AI. Built the data and ML platform behind one of the earliest generative AI products at scale.
- Led data and ML engineering through Divvy's acquisition by Bill.com.
- Now building clinical data platforms and applied AI systems in regulated environments.
A decade leading data, ML, and applied AI organizations at venture-backed companies. Built the internal data and AI infrastructure at one of the defining AI-native companies. M.S. in Statistics, University of Utah.
Our Story
Companies keep spending six figures on consultants who leave behind slide decks and Jira boards nobody can execute.
We met studying mathematics at Utah Valley University. Between probability theory and our first production database, we realized the problem was not in the textbook. It was in the systems companies were building badly and paying too much to maintain.
Sterling leads data, ML, and AI engineering at venture-backed companies. Heather ships production data systems across industries. We started Crimson Edge to do it differently. We build the thing. We train your team. Then we leave.
How We Work Together
Different strengths. Same standard.
Sterling
- 0→1 data platform architecture
- Production ML and applied AI systems
- Agent workflows and AI-native internal tooling
- Cloud infrastructure and cost optimization
- Team design and executive alignment
Heather
- Database architecture and optimization
- BI platform design and data visualization
- Production pipeline engineering
- Data quality and operational reliability
- Documentation and team enablement
Technologies & Industries