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.
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?
Sujit, anyone who has sat in a waiting room refilling the same forms knows how much time vanishes before you even see someone. Handing clinicians their hours back feels like it helps everyone in the room.
Clinician here, and you're attacking the right end of the problem. The first mile is where the time actually leaks. My one worry is anchoring: once I'm handed a tidy structured history and a differential, it's tempting to reason from that framing instead of re-taking the story myself, which is exactly when I miss the thing the patient buried. In practice, do you see doctors re-interviewing, or mostly confirming the AI's version? Did you measure that shift at all?
Nice idea, always hate having to fill in a long form when entering a new clinic. Although when filling in these forms I usually share a lot of personal and health data. How do you ensure that my data remains completely private and is not used by whichever LLM you are using in the background? Do you store the data coming in on your own server as well, as it has to be passed on to the healthcare provider somehow?
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.
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.
About ChikitAI on Product Hunt
“Agentic AI for Healthcare Triage and Care Automation”
ChikitAI launched on Product Hunt on July 16th, 2026 and earned 90 upvotes and 11 comments, placing #17 on the daily leaderboard. 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.
ChikitAI was featured in SaaS (43.1k followers), Artificial Intelligence (473.7k followers), Health (6.7k followers) and Vercel Day (26 followers) on Product Hunt. Together, these topics include over 164.4k products, making this a competitive space to launch in.
Who hunted ChikitAI?
ChikitAI was hunted by Sujit Routray. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Sujit Routray