Parentbirth

Parentbirth set out to make doula-quality support available around the clock without sacrificing clinical accuracy or the warmth families actually need during pregnancy and postpartum.

Instead of starting from generic wellness content, the system was built on top of thousands of anonymized real doula conversations — so the answers families receive reflect how trained professionals actually talk with the people they care for.

Rather than wrap an off-the-shelf language model in a friendly UI, the product uses a retrieval-augmented architecture trained against verified doula transcripts. Each response is anchored to source material the model can actually cite back to itself.

Postgres with pgvector handles semantic search over that transcript corpus, surfacing the most relevant passages for every incoming question before the model is allowed to compose a reply.

Hallucination is unacceptable in maternal health, so the system is engineered to prefer silence over invention. Structured prompts impose explicit constraints, temperature is held low, and deterministic fallbacks take over whenever retrieval confidence is weak.

When the model can't ground an answer in trusted material, it says so and routes the user toward appropriate care — rather than guessing.

Parentbirth delivers autonomous, 24/7 support with no staffing footprint, while staying aligned with how certified professionals communicate.

The platform answers quickly across the full pregnancy and postpartum journey, with safety guardrails and clear boundaries built into every response.