Launching today

ChikitAI

Launching today

Agentic AI for Healthcare Triage and Care Automation

16 followers

Agentic AI for Healthcare Triage and Care Automation

16 followers

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ChikitAI is the healthcare agentic AI by NyuktAI that automates healthcare's messiest bottleneck: patient intake and triage, increasing patient intake capacity by 30% for healthcare providers. It talks to patients in natural language, captures a clinical-grade history, assesses urgency, and routes them to the right care. Built on proprietary clinical LLMs, it cuts wait times, reduces no-shows, and gives clinicians their time back.

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Launch tags:SaaS•Artificial Intelligence•Health

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ChikitAI

Maker

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I'm Sujit, founder of Nyukt.AI. Anyone who's been to a clinic knows the drill: you wait, you fill the same forms again, you repeat your history to three different people, and by the time you see a doctor, half the visit is spent on things software should have handled. On the other side of the desk, clinicians are drowning in intake admin instead of doing what they trained for caring for patients. We built ChikitAI to fix that first mile. It's an agentic layer that talks to patients in plain language, takes a proper clinical-grade history, triages how urgent things are, and routes them to the right care. The key difference: it runs on our own clinical LLMs. We're building this for regions where demand massively outpaces clinical capacity and this kind of automation isn't a nice-to-have, it's structural. Would love your honest feedback, especially from anyone in health tech, clinical ops, or who's felt the intake pain firsthand. What would make you trust an AI with the first step of your care?

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1d ago

Refocus

The detail that stands out is routing on urgency rather than just symptom keywords. I build voice AI that checks in on aging parents by phone, and the toughest cases are the ones where someone underplays how they actually feel, so a confident triage decision can be exactly wrong. Does ChikitAI expose an uncertainty signal and hand borderline cases to a human, or does every intake get a definitive routing? Also curious how you validated the clinical LLM against real intake transcripts.

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10m ago

One thing I'd love to see is multilingual support built in from the start, not as an afterthought. Healthcare serves incredibly diverse communities, and having intake conversations in a patient's preferred language right out of the box would make a real difference for accessibility and trust, especially for elderly or non-native English speakers who often struggle with current intake forms.

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24m ago

Forum Threads

p/chikitai

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3h ago

How we increased patient intake capacity by 50% for healthcare providers with ChikitAI

Hi PH Sujit here, Founder of NyuktAI, builders of ChikitAI (launching today).

Every healthcare provider we talk to wants the same thing: see more patients, without burning out the staff or hiring people who don't exist in the market. Everyone assumes the answer is more doctors. It isn't. It's the 25 minutes that get wasted before the doctor ever speaks.

Most healthcare AI aims at the glamorous part, diagnosis, imaging, discovery. We went the other way and attacked intake, history-taking, and triage. That's where the capacity is hiding.

What we found building this:

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