4BV
Four pillars. One practice.
The four pillars
Who the work is for.
Four constituencies in pediatric care, each with a different stake and a different way of being failed.
Parents
Most pediatric decisions get made at home, at night, by someone who is not a clinician and has no one to ask. That is where the worry actually lives, and it is the least served part of the system.
Fails as: an assistant that answers confidently and sends a sick child back to bed.
Clinicians
The people carrying the work. Tooling should give time back to the encounter rather than extract more throughput from the person doing it.
Fails as: efficiency gains that quietly become the new expected baseline.
Learners
The people who will practice after us. Using these tools well is becoming part of clinical competence, and very little of it is being taught deliberately.
Fails as: teaching the tool instead of the judgment.
Research
The pillar that keeps the other three accountable. If we cannot measure whether something helps, we are guessing with other people's children.
Fails as: reporting the number that flatters the product.
Calm, considered AI for parents.
Tools that lift the work, not optimize the worker.
BRTLB
A pediatric DPC AI scribe. Browser-first, bring-your-own API keys, no patient data on our servers.
Try BRTLB →SpruceClaw
HIPAA-compliant AI assistant framework that turns Spruce Health DMs into a secure command channel for clinicians.
Email for access →
Clinician Decon
Turns clinical text into a safe, paste-ready prompt for an outside AI. De-identification masks identifiers and takes the medicine with it; decon strips the identifiers and keeps the clinical facts. Runs on your own machine.
Northstar
The pediatric intelligence layer — clinical AI tuned for the patterns, dosing, growth curves, and red flags adult systems miss.
Tour Northstar →Advisory engagements
AdvisoryStrategy, product posture, and clinical-AI evaluation work with health-tech teams.
Hands-on practice. Practical literacy.
Metis
A pediatric medical-education ecosystem: synthetic patients, voice encounters with error injection, a teaching EMR, and a Socratic AI tutor.
AI101
A practical curriculum on AI in clinical practice — for clinicians who want to use these tools well, not just hear about them.
Open AI101 →Evidence before opinion.
Independent benchmarks and evaluation methodology.
A pediatric AI benchmark
The first evaluation suite built specifically for pediatric clinical AI — because adult benchmarks don't catch the failures that hurt kids. Methodology paper preprint incoming.
Get notified →
Clinical decision support evaluation
Head-to-head evaluation against the major third-party CDS tools, paired with original prompt design — our pediatric-tuned prompts perform on par with the commercial leaders. Internal benchmarks, structured grading, local-first stack.
Read the methodology →Still building
A year of shipping.
Public and private commits across every project on this page.