What does this conversation actually do to the person on the other end?
We answer the question most AI systems never ask.
We close the blind spot
As AI enters health, wellness, grief, loneliness, and life decisions, harm rarely screams. It whispers. Accumulates. Normalizes.
We focus on that gap.
Standard safety checks are necessary. They are not sufficient.
Most AI evaluation focuses on accuracy, policy adherence, obvious red flags.
Those matter. But they miss how the system lands — especially with someone already fragile.
We evaluate at the level people experience it: full conversations, moment by moment. Not intent. Impact.
This didn't start in a lab
It started while building emotionally aware AI — and discovering no reliable way to know if it helped or harmed.
We couldn't delegate the answer. So we created the tools, the framework, the benchmarks.
That became Ikwe.ai.
Core beliefs
- AI can harm without malice
- Emotional influence is power, acknowledged or not
- Deeper trust means higher stakes when impact is unmeasured
- Safety is infrastructure, not decoration
If your AI talks to people, emotional impact is your responsibility.
This work is for
- Teams building conversational AI
- Platforms in health, wellness, education, caregiving
- Researchers and policymakers needing real signals
- Organizations that value evidence over comfort
We don't guess at emotional risk. We measure it.
Visible Healing Inc. · Des Moines, Iowa