Use Ema as your AI, or layer it onto the AI you already have. Either way, you own your models, your data, and everything you build on top.
The worry is that it means giving up ownership, scrapping the work you've done, or locking yourself into someone else's roadmap. None of it is true. You own the models, prompts, and configurations you build on Ema, and you can take them with you whenever you want.
And the economics match: fixed, predictable pricing that doesn't balloon with token usage as you scale, a signed BAA, and we never train our models, or anyone else's, on your data.
You can build on Claude or GPT yourself, and you should know you can. What is easy to miss is the distance. From scratch you start the marathon at mile zero. On Ema you start at mile twenty.
On Ema, the safety, the proprietary data, and near-turnkey capabilities are already handed to you, then customized to your stack and your user flow.
Why is that head start so large? Everything sitting beneath the surface. "Build on a frontier LLM" is the visible tip. The work that makes a raw model safe to put in front of women is the mass underneath, and Ema has already done it.
Claude is in our stack too. The difference is the years of work already sitting on top of it.
It is the same Ema layer either way; only what surrounds it changes. You train it once, and your models, data, and configurations stay yours.
The base model is a hybrid: a frontier LLM with Ema's reasoning models, RAG, and clinical brain on top. Ema is in your model even when the base model is yours.
A dedicated team monitors, retrains, and tunes the model behind your product, so it keeps performing as your users and data evolve.
Every improvement to the Ema core flows to you automatically. You inherit the roadmap instead of rebuilding it.
Women's-health scientists keep the clinical intelligence current, evidence-based, and aligned to the latest research.
Design partners help shape how the experience looks, feels, and converts inside your product.
13 state-of-the-art LLMs failed roughly 60% of the time on women's health. This is the gap Ema is built to close, with clinician-reviewed responses and continuous bias monitoring behind every answer.
Build on a frontier LLM alone and you are flying blind. Every Ema build ships with the data analyst tool: the aggregated numbers, and the actual conversations behind them, all de-identified. Click any conversation to read the full transcript.
A live sample of what ships with any Ema build. Build on Claude alone and none of this comes with it.
Take your models, prompts, and configurations with you anytime. No renting your own product.
Built exclusively for women's health, first period to menopause, not a sliver of a general model.
Every clinically validated response is reviewed by qualified clinicians before it reaches a user.
Continuous bias monitoring and conflict detection correct for decades of gaps in the training data.
Fixed pricing, a signed BAA, and you decide how much ownership you keep. You can keep all of it.
Ema's behavior doesn't quietly change underneath you the way consumer models retrained on feedback can.
Ema is the purpose-built intelligence layer that powers women's health companies to deliver better care, reduce cost, and keep ownership of everything they build on it. Build on it, layer it onto what you have, or let us build it for you.
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