Digital health services lab

Benevolence Labs

Evidence-based digital health services for medication-transfer context, evidence navigation, and decisions that deserve better data.

Our Mission

We believe software should serve people, not exploit them. Every solution we build starts with a simple question:

“How do we reduce suffering and increase agency?”

Whether it's helping people ask, “How can I continue breastfeeding while taking the medication I need?” or estimating drug transfer during pregnancy, we build tools that respect clinical nuance and patient agency.

Our Projects

LactCheck

LactCheck

How can I continue breastfeeding while taking the medication I need?

Reviewed evidence and source-linked medication-transfer information to support breastfeeding and medication conversations with a qualified clinician.

Free base tierAccount-based access
Try LactCheck →

Medication data gap

Information gaps make medication counseling harder.
9 in 10

women report taking some type of medicine during pregnancy; 7 in 10 report taking at least one prescription medicine.

<10%

of medicines approved since 1980 have enough data to determine pregnancy safety.

5–62%

reported range across studies for use of two or more medications during pregnancy; study definitions differ.

LactCheck organizes reviewed lactation evidence and labels estimates when direct measurements are unavailable.

Benevolence Labs

Placental crossing predictor

Predicting drug transfer across the placenta.

A planned medication-transfer model for pregnancy, focused on estimating which drugs are likely to cross the placenta and where stronger clinical review is needed.

Pregnancy pharmacologyPlacental transferComing soon

Coming soon

Evidence-Based by Design

Benevolence Labs builds software tools grounded in peer-reviewed science and real-world data. We believe technology should illuminate the best available evidence — not obscure it behind black boxes or marketing copy.

Our Directive

Build tools that serve people, not exploit them. That means transparent methodology, continuous learning, and models that improve over time as new evidence emerges.

Currently focused on healthcare and medical research, where the stakes are highest and the need for evidence-based decision support is greatest.

Always-On AI Research

We continuously evaluate new approaches, review evidence and feedback, and release versioned improvements through governed review. LactCheck evolves through documented model updates without interrupting your experience.